Expert supporters

I earned a PhD in Neuorscience from the University of Bordeaux, France in 2020. I have been fascinated by the human brain and intelligence since the beginning of my scientific training. However, in recent years I have become even more fascinated by our ability to make computers learn human-like reasoning and problem-solving abilities to solve many of our daily life problems, even out-performing us on many tasks. That is why I pursued postdoc and industry positions at the interface of natural and artificial intelligence for the past few years. Now, I work as a data scientist at the Bordeaux Bioinformatics Center mainly focused on the European EOSC4Cancer project. I am bringing my passion and expertise in AI, machine learning and data analytics to the mission of fighting cancer at the grand European (and global) stage.

My ultimate goal is be become part of the European AI community, and bring the power of AI to healthcare and biomedicine…eventually preserving human lives and societies.

Innovative, Entrepreneurial and Strategy-driven Management Professional and Digital Transformation Evangelist with 18 years of experience. Get thrills in leading large complex global projects to get awarded for my invention of petrol drones.

https://github.com/ferenc-acs

EurAI Fellow, Italian representative of IFIP Technical Committee on Artificial Intelligence (TC-12)

I had my PhD from the university of Nottingham, specialized in satellite image super resolution using deep learning and the effects of data augmentation. Worked for more than 10 years at several companies with open-source geospatial technologies. Contributes to few OS geospatial tools/applications

Juan Manuel Ahuactzin is the Research & Development Director at Promagnus Company. He has over 20 years’ experience driving top scientific and technological research projects and over 10 years’ experience in systems analysis, design, and industry development. He has a solid background as a teacher and mentor in higher education. He has acquired experience in Bayesian technology, data mining, machine learning, optimization techniques, and geometric reasoning along in his career. J.M. Ahuactzin has extensive and applicable knowledge in diagnosis and prediction under uncertainty, decision and risk analysis, smart cities, the internet of things, robotics, and health informatics. Besides, he is interested in the techniques of creativity, innovation, and Design Thinking. He is the author and co-author of several journal articles and book chapters, mainly in robotics and applied Bayesian reasoning. Along with his colleagues at INRIA, he is co-author of the book “Bayesian Programming” published by CRC Press.

He received his Bachelor’s degree in computer systems engineering from Universidad de las Américas Puebla (UDLAP) Mexico in 1989. He obtained the M.S. and Ph.D. degrees in Computer Science from the Institut National Polytechnique de Grenoble, France, in 1991 and 1994. During 1994-95, he worked as a postdoctoral fellow in the robotics group at Simon Fraser University (SFU), Canada. He continued to be an associate researcher at SFU during the summers from 1996 to 1999. From 1995 to 1999, J.M. Ahuactzin had a permanent Computer Systems Engineering Department position at UDLAP. From January 2000 to 2005, he was a researcher at INRIA Rône-Alpes, France, where he participated in several European research projects. J.M. Ahuactzin is cofounder of Probayes (spin-offs of INRIA) in France and Probayes Americas in Mexico (now Promagnus). At the first company, he was the Research Director from 2005 to February 2011; at Probayes Americas, he was CEO from 2010 to May 2015. Probayes was acquired by La Poste (France) in 2016. From May 2015 to June 2020, he was the innovation program manager at T-Systems Mexico. Dr. Ahuactzin is passionate about academia; he is a part-time course lecturer at Universidad de las Américas Puebla. Juan Manuel Ahuactzin is a founding member of the Mexican Academy for Computing.

was born in Sarajevo, Bosnia and Herzegovina (B&H). I hold a Master of Electrical engineering from University of Sarajevo. I started a career in automotive in 2011, with specialized education in Prevent School of Automotive. Afterwards, I was working in a Prevent Group, B&H on a project of establishing a new production process and a research project utilizing computer vision in product quality management. During 2014 and 2015 I was working in AVL List, Austria on a research project in the field of control of hybrid electric vehicles. Currently, I am a Marie Curie Fellow within Virtual Vehicle, Austria. I am also pursuing my PhD degree at Technical University Graz, Austria through the ITEAM project. My current research interests include Robotics (Motion Planning), Artificial Intelligence (Planning and Learning) and Optimal control applied to Automated driving.

Lead, AI Global Taskforce, FTI Consulting

CAEPIA Fellow, coordinator of the Spanish Academic Network on Smart Cities, ACM SIGEVO, ERC reviewer, collaborators in Asia, Europe, Africa, America

EurAI Fellow

Postdoctoral Researcher in Artificial Intelligence (AI) and Guest Professor at VUB, Academic AI Expert at VAIA.

IEEE Fellow; Adcom/BoD/BoG member: IEEE Computational intelligence Society, European Neural Networks Society, International Neural networks Society

M.S. (2003) and Ph.D. (2007) degrees in Telecommunication Engineering, both from the Technical University of Madrid (UPM), Spain. I am currently with the Department of Computer Sciences of the University of Santiago de Compostela, Secretary of EUSFLAT, Chair of the IEEE-CIS Task Force on Fuzzy Systems Software, and Associate Editor of the IEEE Computational Intelligence Magazine. My main research interests include explainable artificial intelligence, data science, soft computing, computational intelligence, fuzzy modeling, interpretable fuzzy systems, natural language generation, free software tools, robotics and WiFi localization.

PhD in Philosophy from the University of the Basque Country
Since 2001, working on AI at City, University of London. Director of MSc in Artificial Intelligence and City’s Data Science Institute
Vice-Chair of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB), 2003-2006
PC and LOC of various AI conferences, e.g., IJCAI and AAMAS

Valencia

Areas of interest/expertise:
– Multi-Agent Systems
– Organizations, Institutions and Norms
– Deep Learning
– Explainability in Reinforcement Learning

IEEE Senior Member
Member of the European AI Alliance

Aerospace scientist and engineer. Researcher in space plasma physics. Expert in HPC, advanced programming and machine learning.

EurAI Fellow

Areas of expertise in AI: Machine Learning, Deep Learning, Natural Language Processing, Autonomous Systems, RoboEthics

Additional information: member of Lithuanian Computer Society (AI section)

Marie Curie Idividual Fellowship Grant: https://www.list.lu/en/research/project/getui/

EurAI Fellow, Member Academia Europaea, CHI Academy, Leopoldina

Expert in
– Statistical learning
– High dimensional data analysis
– Bioinformatics and computational Biology
– Multiomics data analysis and integration

IEEE, IET and HEA Fellow, Vice President INNS

Senior Member of IEEE – Computational Intelligence Society

Director, Research Center on Intelligent Data Science and Artificial Intelligence, IDEAI

EurAI Fellow

Large experience in management of Artificial Intelligence and Data teams working on systemic approaches applied to industrial value chains. Mainly focused in technology transfer activities with more than 20 years across multiple roles, design engineer; researcher; technical director; R&D director; and CTO. Extensive collaboration with SMEs and large companies, highlighting a smart factories deployment. Currently, leads Eurecat’s technology convergence vision and singular projects, including augmented intelligence solutions across multiple domains. He also collaborates with the EC in the development of digital strategies and collaborates in multiple organizations (BDVA, AIOTI, EFFRA, W3C, ETSI, OGC) .

Conversational agents, AI in communication research

Machine Learning, Healthcare

10,000 Data Scientists for Europe
Our mission is finding and empowering new talent as rapidly as possible: 10,000 Data Scientists and Machine Learners capable of designing and producing the data-driven products of the 21st century.

I Study and research in I.A. models for biology and health, to reach improvement in data analysis and disease prediction. In the last time I’ve also explored industrial segment with adopting same approach used to analyze health disease.

AI researcher that has been working with AI for 20 years both in academia and industry with a PhD from Linköping University. Worked at Spotify for many years making use of big data and machine learning techniques to optimize user experience. Now working with the latest and greatest AI techniques at Peltarion as Principal Data Scientist, where we have the ambitious goal of making deep learning and the latest AI techniques available for all, not just the large technology organizations. Also founder of Agent Central AB, AI adviser for the Swedish government, member of the European AI Alliance, founder of the Machine Learning Stockholm meetup group, and member of several advisory boards.

Assistant Professor at the Department of Informatics Engineering, University of Coimbra, since 2012.

My research interest are on developing algorithms to model biological problems. I’m particularly interested in using pattern recognition and machine learning methods. On the recent past I have been involved on several studies that focused on the analysis and knowledge extraction from gene-expression data.

5G, Self-Organizing Networks (SON), Network management,
PhD.
Awarded half a million euro funding from BusinessFinland for TUTL project on 5G Cognitive Self-organizing Networks

ERC Advanced Researcher laureate
expert in semantics and discourse

Kalle Åström is a professor at the Centre for Mathematical Sciences at Lund University. His research spans from basic research in computer vision and machine learning to dissemination in industry and society as a whole. Prizes include first prize in Innovation Cup, 1991, Best Nordic dissertation in machine learning and image analysis, EU’s “IST grand prize” in 2005 (with spin-off company Decuma). Coordinator of AI Lund – ai.lu.se.

Member of Italian Task Force on AI, Director of Cloud Computing at GARR

I study how Visual Analytics, Machine Learning, Topological Data Analysis and Artificial Intelligence can support human understanding of complex phenomena and decision.

Expertise in Knowledge Engineering, Ontology learning and population form text, information extraction, semantic annotation, ontology engineering from text

Research Fellow

Ph. D. in Computer Science – Artificial Intelligence. Intelligent Autonomous Robots and Systems research line head, Manufacturing and Retail sector, Atos Research & Innovation.

I am chief assistant professor at Sofia University. My activities there are in the department of Physical Chemistry but my research interests are mainly oriented to intelligent measurement equipment for Industrial and Laboratory purposes.
I am CEO of Metrology-LAB an R&D company with strong relations to the university.

Current positions:

– Head of AKII Microlab (Artificial Intelligence and Virtual Reality) at the AUDI Konfuzius Institute Ingolstadt, Ingolstadt, Germany

– Lecturer in Artificial Intelligence and Machine Learning at the Technical University of Ingolstadt, Germany

– Senior Research Engineer in Online Machine Learning and Big Data, Huawei European Research Center, Munich, Germany

Awards:

– Awarded a Bavarian Elite Research PhD Scholarship (4 years funding, ~120.000EUR) by the Bavarian Ministry of Sciences, Research and the Arts.
– Awarded a Leonhard Lorenz-Stiftung Fellowship (7000EUR) for novel ideas in neurotechnologies research.
– Awarded Research Fellowship (2500EUR) by the Science Network of Biomimetic and Biohybrid Systems for leading a workgroup at the Telluride Neuromorphic Cognition Engineering Workshop, USA.
– Awarded Research Fellowship (2500EUR) by the Science Network of Biomimetic and Biohybrid Systems for leading a workgroup at the CapoCaccia Cognitive Neuromorphic Engineering Workshop, Italy.
– Awarded a BayIntAn Fellowship (10000EUR) by the Bavarian Research Alliance for establishing a cooperation on neurorobotics with University of Waterloo, Canada and the University of Manchester, UK.
– Awarded a BayIntAn Fellowship (5000 EUR) by the Bavarian Research Alliance for establishing a cooperation on the development of a platform for Neuromorphic sensorimotor adaptation with ETH Zurich and University of California, Irvine.

I work in social agents/robots, affective systems and digital narrative. I have led groups in a series of EU projects in these areas since 2001.

Distributed machine intelligence, multi-objective optimization, decision-making under uncertainty, flexible machine learning.

Alte Uhldinger Str.5B

EurAI Fellow

Speaker German Knowledge Management SIG at the Computer Science Society (GI)

ASR, NLP, multilingual, multiplatform, multimodal information retrieval, disaster communication, security/defense-related aspects of AI

President of the Spanish Scientific Society of Informatics

Expert in AI for HRI

AI, disinformation,
Emotional AI

Coordinator of Laboratory: http://www.istc.cnr.it/it/group/locen

EU MSCA Fellow 2014-17 @Stanford AI Lab
Researcher in Computer Vision, Machine Learning, Pattern Recognition and Multimedia

I’m the President of Francesco Balsano Foundation dedicated to develop projects on AI and Medicine

Complex Systems & Artificial Intelligence Research Center (Director). AI*IA member.

Data mining

Qualifications:
Undergrad in Marketing and Business Management (Oxford Brookes),
Master of Science in Data Science (Northwestern University),
CFA (Chartered Financial Analyst),
PRM (Professional Risk Manager)

Expertise:
Establishment and management of Data Science/Machine Learning/AI laboratories and operations.

Former rector of the University of Santiago de Compostela (2002-2010)

AI expert: Artificial Intelligence, Computational Intelligence, Evolutionary Algorithms, Sequential Parameter Optimization

RuleML director

-Founder of BINARTIS GENOMICS, devoted to apply AI & deep learning to genetic diagnosis for clinical applications. (currently at start-up phase)
-Founder of CELEROMICS TECHNOLOGIES. Developped the first cell counting device that could be adapted to any laboratory microscope. Used AI and Computer Vision to automatically count & analyze cells under the microscope. Sold the system in more than 15 countries.
– Founder of DAVANTIS TECHNOLOGIES, national leader of intelligent videosurveillance. Applied AI & Computer vision to intelligent video analysis for surveillance applications. reaching +3m€ annual income; its surveillance system validated by the UK goverment for critical facilities (military, nuclear plants, etc).

– PERSONAL AWARDS.
-Winner of national biotechnology project (30.000 €)
-Entrepreneur of the year award (Entrepreneur Magazine Spain ) – 20.000 €
-Bankia National Entrepreneurs Contest : 16.000 €.
-Best Biotechnology Entrepreneur in Valencian Region. 5.000€

GRANTS RECEIVED AS PRINCIPAL INVESTIGATOR

NEOTEC Research Grant : 550.000 €. (Project : MICROCOUNTER. Artificial Intelligence applied to automatic microscope image analysis and experiment automation)

CDTI R&D Grant : 320.000 € (Project ONCOMARKER. Automatic system based on microarrays & AI to diagnose colorectal cancer)

NEOTEC Research Grant : 300.000 €
(Project DAVIEW: Intelligent Videosurveillance Systems based on AI & Computer Vision)

IMPIVA Research Grant : 250.000 €
(Project GENVAL : Intelligent system for preimplantation genetic diagnosis)

Valencian Instituto of Finance, R&D Grant : 150.000 €

Areas of interest & expertise : Artificial Intelligence, Computer Vision, Genetics, Clinical Diagnosis.

International Patent : Particle counting system adaptable to an optical instrument PCT/EP2013/057164

IEEE Fellow

Hi,
I am a legal consultant specialised in data (copyright, blockchain and data protection) with a strong interest on AI. I hope i can help CLAIRE.
Axel Beelen

Research areas: Cognitive Robotics, Deep Learning, Computer Vision.
GI KI member, Part of Plattform Lernende Systeme, AG7 Lebensfeindliche Umgebungen,
Coordinator of H2020 project CENTAURO.
Head of highly successful robot competition team NimbRo:
http://nimbro.net

Natural Language Processing and Language Technologies

More than 20 years research and high-ranked contributions in the field of computer vision, pattern recognition and artificial intelligence. I published the single-source reference “Smart Cameras” as editor (2009) covering large research spectrum from disparate scientific, technological and application fields. A Chinese translation of this English book appeared in 2014. Finally, I have leadership experience from Austria and Norway of a team of scientists and engineers for a sustainable development of innovative smart systems for industrial and societal deployment, mainly dealing with automation services.

EURAI Fellow

Via Selice 66/A

my areas of interest are expert systems, machine learning and data mining

Abraham Bernstein is a Full Professor of Informatics as well as director of the Digital Society Initiative at the University of Zurich (UZH), Switzerland. His current research focuses on various aspects of the semantic web, knowledge discovery, service discovery/matchmaking, and mobile/pervasive computing. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations.

IEEE Fellow, IEEE Hamming medal, Marconi Prize, French Academy of science, ERC Advanced Grant grantee

We are a turnkey AI solution provider, with a scalable killer platform. We want to make AI available to all, breaking any hardware or knowledge barriers.

Fellow IEEE
Past President IEEE-SMC
Past President NAFIPS

Interests/areas of expertise: Cognitive systems; explainable AI, computational creativity.

EurAI Fellow

MPhys PG Cert PhD FHEA FInstP
AI application to big science, explainability and interpretability

Formally a postdoc from the University of Oxford, I am an AI specialist for robotics and computer vision. I would like to see CLAIRE and ELLIS become a reality.

Working in close collaboration with Dutch Police and Judiciary on AI for justice and security.

Hi,

CLAIRE is also a great step towards contributing and reaching towards our SDG goals 2030.
I would like to be part of CLAIRE and also see how my company can be useful in advancing the research goals of CLAIRE.

Looking forward to hear from you.

Best
Prasenjeet

EurAI and GI Fellow

Faculty of Informatics and Information Technologies

Head of Data, Intelligence and Graphs (DIG) at LTCI, TelecomParisTech.

Robot Learning, Machine Learning, Human-Robot Interaction, Computational Neuroscience

qualifications:
Cav. Prof. Ing.

fellowships and awards:
IEEE Senior member, Coordinator of the AI*IA Argumentation in Artificial Intelligence Working Group, Associate Editor of ‘Intelligenza Artificiale’ (IOS) and ‘Non-Financial Blockchain’ (Frontiers), member of the IFIP (International Federation for Information Processing) Working Group 12.1 “Knowledge Representation and Reasoning”, vice-president italian chapter of EATCS

area of interest/expertise:
Knowledge Representation and Reasoning (KRR), Computational Intelligence, Constraints, Argumentation, Games, cybersecurity

google scholar h-index: 27

NLP, RPA, Smart home private cloud

Also a signatory to ELLIS.
I like the idea of a unified approach between ELLIS and CLAIRE.

Over the last 10 years, a team of experts from the Olympic Movement and the mega-events industry has followed the rise of e-games and new sports and investigated how technology impacts the future of sports, competitions and disciplines. A revolution is under way and the whole ecosystem is changing: new stakeholders, new business model, new expectations from the spectators and the competitors.

The time has come to master these disruptions and technology-based innovation in order to align completely with the ways sport and international competitions are promoted, played, sold and consumed.

FIFA is the international governing body for football, the International Olympic Committee for the Olympics. We set Futurous, the international committee of innovation. This new Committee provides a unique standpoint to influence and to develop the events of the Future… bringing business, entertainment and education opportunities.

Futurous takes the responsibility of
1. Staging a global event, which will be held every odd year, in different countries and territories;
2. Engaging with sponsors, social media, broadcasters, sport and gaming entities and venture capitalists to syndicate both the financing and the resources and to promote innovation;
3. Setting and operating a comprehensive technology platform, to support the outreach, the communication and the operations of the global event,
4. Creating a global database to increase the stakeholders’ experience and return on investments.

It also stimulated our willingness to Inspire, Invent, Include, Improve & Impact. Bringing education programmes, TEDx talks and hackathons, onto the field of play between each session of the competitions.

Observing and understanding the growing hunger for data and information, simply delivered everywhere on earth to everyone on-line, we deliberately designed the complete package: inclusive sports, education and a high degree of entertainment and ‘fun’. Fans and spectators wanted “an experience”, we wanted to bring ‘education and food for thought’.

Futurous articulate the competitions in 5 Galaxies articulated around disrupting technologies:
1. IT, AI, IoT: eSports
2. Mobility technologies: drones, sustainable vehicles, autonomy
3. Haptics, sensors and mechanics : Robotics and Exoskeleton
4. AI, VR: Virtual and Mixed realities environments
5. Sports 2.0 : Classical sports revisited through technology and innovation (Artificial wave Surfing, kinetic wall climbing, wind tunnel dancing, …)

head of the ERC project Matryoshka

I only recently moved to Amsterdam. I was beforehand at Kings College London.

member of the Board (General Secretary) of the Hellenic AI Society (EETN)

Expertise in Industrie 4.0 and Multi-modal Interaction

EurAI Fellow

Director of the Computer Science Department

I’m working more than 20 years in the field of Artificial Neural Netwaorks, Machine LEarning and Spiking Neural Networks regarding the application in research and industrial applications, mainly in the neuro-medical field (BCI, stroke rehab) but also in optimization problems in chip production or IT-security.

AiHamburg.org ist eine Organisation zur Förderung der Anwendung von KI in Praxis und Wirtschaft. Sie aggregiert praxisrelevante Informationen zur AI.
Der Gründer Werner Bogula hat einen M.A. in maschineller Sprachverarbeitung und 20 Jahre Industrieerfahrung in der datengestützten Softwareentwicklung.

Member: IFIP WG8.3, EWG-DSS, EWG-MCDM, SLAIS

also Vice Chairman of the Open Source Business Association e.V. the leading Open Source Organisation in Germany. We aim for open, sustainable, human centric Digitalization.
further Member of Nationaler IT Gipfel Deutschland Fokusgruppe Digitale Souveranität

Research area: Image Processing, Machine learning, Pattern recognition, Knowledge Modeling

Maria Paola Bonacina is Professor of Computer Science at the Università degli Studi di Verona. Earlier she was first Assistant Professor and then Associate Professor of Computer Science at the University of Iowa, where she received NSF RIA and CAREER awards and a Dean Scholar Award. Her research area is automated reasoning. She gave over one hundred and twenty talks, authored over seventy peer-reviewed papers, and edited two books. She was elected thrice to the Board of Trustees of CADE (Conference on Automated DEduction) Inc., and twice President of the Board. She is a member of the Association for Automated Reasoning (AAR) and of ACM SIGLOG.

Coordinator of the AI&Robotics Lab at Polimi. Chair of the PhD Program on Information Technology at Polimi

Co-head and founder of ULB Machine Learning Group

Georg Borges is a Professor of Civil Law, Legal Informatics, German and International Business Law and Legal Theory and the managing director of the Institute for Legal Informatics at Saarland University, Germany.
As an expert on Business Law with a focus on IT Law, Prof. Borges authored several books and numerous articles in the field of IT law. His current research is related to autonomous systems and artificial intelligence, German and European data protection law, internet of things and cloud computing. He is currently member of the European Commisson expert group on liability and new technologies.

More than 200 research papers published.
Chair of ICAPS’13 and ’06, SoCS’11 and ’12.
Member of ICAPS and SoCS councils.
Several prizes at IPC (International Planning Competition) and SAT Competition.
Areas of interest: planning, machine learning (for problem solving), search.

BNVKI president

EurAI fellow

Director of DATAIA Institute, Member of the Board of Directors of BDVA, President of Scientific Council of SystemX,
Expertise: large scale information retrieval, object recognition, unsupervised learning, Trusted AI, algorithmic transparency

Current research interests are focused in the development of Computational Intelligence techniques with applications in Control, Pattern Recognition, Signal and Image Processing Problems.

Applying AI in food safety to keep and make food safe

I lead a research team within the Loria lab, named KIWI (Knowledge, information & web Intelligence). Its research activities are about mining human data in order to build behavioral users’ models. Application fields are recommender systems, educational datelining (and Learning Analytics), ….

Chartered Fellow of British Computer Society
Chair, BCS Specialist Group on Artificial Intelligence (BCS-SGAI)
Vice-President International Federation for Information Processing

– AI Expert
– President of ELRA – European Language Resources Association

EurAI Fellow

Please contact us if you would like to know more.

Senior lecturer at NUI Galway’s College of Engineering and Informatics

Co-PI at the SFI Insight Centre for Data Analytics, FI at the SFI Confirm Centre for Smart Manufacturing, FI at the SFI VistaMilk Centre for Precision Pasture-Based Dairying

• 190+ peer-reviewed publications, 5,600 citations, 37 h-index
• Senior Member of the IEEE
• Best paper awards at DL4GS 2018, SEMANTICS 2016, ICEGOV 2013, ESWC 2012, IEEE PELS 2000
• Leader of the Unit for Social Semantics at NUI Galway’s world-leading Data Science Institute
• Researching the application of the Social Semantic Web to various domains
• Creator of the SIOC project, results of which have been implemented in hundreds of
applications on over 65,000 websites with 35 million data instances
• Co-author of the books “Social Semantic Web Mining”​, “The Social Semantic Web”​
• Vice chair of the IFIP Working Group 12.7 on Social Networking Semantics and Collective Intelligence
• Coordinator of the Erasmus+ Knowledge Alliance “STARTED”

My research interests are in the areas of Cyber-Physical Systems, hybrid automata, finite automata, temporal representation and reasoning, spatial and temporal logics.

EurAI Fellow

Expertise on responsible AI, logics of agency, ethics and machines.

applied AI, decision support, optimisation, wireless networking

I’m a Lecturer within Computing Science and Mathematics at Stirling, and a member of the Data Science Research Group. I am also a Visiting Fellow in Civil and Building Engineering at Loughborough University. I’m interested in explainable or value-added optimisation: techniques that yield optimal or near-optimal solutions but also reveal underlying information about the problem to help people make informed decisions. My main focus is in metaheuristics, including evolutionary algorithms and estimation of distribution algorithms; related issues such as fitness modelling (and mining such models), handling constraints and multiple objectives, and decision support. I am also interested in the underlying theory of what makes particular algorithms suited to particular problems. I have applied this work to application areas including scheduling and simulation-based optimisation in civil engineering and transport, software engineering, healthcare, and art.

EurAI Fellow

Lorenzo Bruzzone received the Laurea (M.S.) degree in electronic engineering (summa cum laude) and the Ph.D. degree in telecommunications from the University of Genoa, Italy, in 1993 and 1998, respectively. He is currently a Full Professor of telecommunications at the University of Trento, Italy, where he teaches remote sensing, radar, and digital communications. Dr. Bruzzone is the founder and the director of the Remote Sensing Laboratory in the Department of Information Engineering and Computer Science, University of Trento. His current research interests are in the areas of remote sensing, radar and SAR, signal processing, machine learning and pattern recognition. He promotes and supervises research on these topics within the frameworks of many national and international projects. He is the Principal Investigator of many research projects. Among the others, he is currently the Principal Investigator of the Radar for icy Moon exploration (RIME) instrument in the framework of the JUpiter ICy moons Explorer (JUICE) mission of the European Space Agency (ESA) and the Science Lead for the High Resolution Land Cover project in the framework of the Climate Change Initiative of ESA. He is the author (or coauthor) of 236 scientific publications in referred international journals (172 in IEEE journals), more than 310 papers in conference proceedings, and 21 book chapters. He is editor/co-editor of 18 books/conference proceedings and 1 scientific book. His papers are highly cited, as proven from the total number of citations (more than 26700) and the value of the h-index (74) (source: Google Scholar). He was invited as keynote speaker in more than 32 international conferences and workshops. Since 2009 he has been a member of the Administrative Committee of the IEEE Geoscience and Remote Sensing Society (GRSS), where since 2019 he has been Vice-President for Professional Activities. Dr. Bruzzone ranked first place in the Student Prize Paper Competition of the 1998 IEEE International Geoscience and Remote Sensing Symposium (Seattle, July 1998).Since that he was recipient of many international and national honors and awards, including the recent IEEE GRSS 2015 Outstanding Service Award, the 2017 IEEE IGARSS Symposium Prize Paper Award and the 2018 IEEE IGARSS Symposium Prize Paper Award. In the past years joint papers presented by his students at international symposia and Master/PhD theses that he supervised have received awards. Dr. Bruzzone is the co-founder of the IEEE International Workshop on the Analysis of Multi-Temporal Remote-Sensing Images (MultiTemp) series and is currently a member of the Permanent Steering Committee of this series of workshops. Since 2003 he has been the Chair of the SPIE Conference on Image and Signal Processing for Remote Sensing. He was a Guest Co-Editor of many Special Issues of international journals. From 2010 to 2012 he was the Editor-in-Chief of the IEEE GEOSCIENCE AND REMOTE SENSING NEWSLETTER. He has been the founder of the IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE for which he has been the Editor-in-Chief between 2013 and 2017. From 2004 to 2006 he served as an Associated Editor of the IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. Currently he is an Associate Editor for the IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. He has been Distinguished Speaker of the IEEE Geoscience and Remote Sensing Society between 2012 and 2016. He is a Fellow of IEEE and a member of the International Association for Pattern Recognition (IAPR) and of the Italian Association for Remote Sensing (AIT).

Actively engaged in both direct research on developing AI, using AI for scientific understanding, developing policy and regulation for AI and AI ethics.

Meta/hyper Heuristics, Intelligent Decision Support, Computational Semiotics, Explainable AI (XAI), Fair AI (FAI)

Eur AI Fellow, AAAI Fellow, ACM Fellow, Royal Society Fellow, Royal Academy of Engineering Fellow, Commander of the British Empire

Co-founder of the Creative AI Lab, Serpentine Galleries, London

Fellow AAAI, IEEE and EurAI, President IEEE-RAS Society, Member of Leopoldina and Academia Europaea, Member of the Heidelberger Academy of Sciences, ERC Advanced Grant, Gottfried Wilhelm Leibniz Prize

EurAI Fellow

Mikhail Burtsev is a head of Neural Networks and Deep Learning Laboratory at Moscow Institute of Physics and Technology. In 2005, he received the Ph.D. degree from Keldysh Institute of Applied Mathematics of Russian Academy of Sciences. He is one of the organizers of NeurIPS Conversational Intelligence Challenges (ConvAI 1&2) in 2017 and 2018, as well as a series of workshops on Search-oriented Conversational AI. At the moment he leads the development of open-source conversational AI framework DeepPavlov.

ACM associate, AFIA associate, ATALA associate

Deep practical insights of AI. Bitkom executiv for Big Data and AI.

I am an assistant professor (German ‘Juniorprofessor’) of Digital Linguistics at Bielefeld University. In my research I focus on interactive computational models of spoken dialogue and multimodal interaction between humans and humans and machines. I am interested in both theoretical (taking a cognitive science perspective on linguistics interaction) as well as applied aspects of my fields (creating and deploying conversational agents).

My work on ‘communicative listener feedback in human–agent interaction’ received the ‘AAMAS 2018 Best Socially Interactive Agents Track Paper‘ of the 17th International Conference on Autonomous Agents and Multiagent Systems, Stockholm, Sweden.

Natural Language Processing, Language Technologies

Formerly Profesora Interina Titular at the Depart. of Filologia Italiana at the Universidad Complutense de Madrid; specialized (post-doc fellowship) in Mobile Language Learning and Learning Technologies; interested in Conversation Analysis, Pragmatics, Human-Machine Relationship. Currently working on Blockchain applications in the certification of competences and on the evolution of Adult Education in Italy.

Data Science, industrial application of AI deep generative models, AI and cybersecurity, AI applied to multi-sensor remote sensing systems for continuous surveillance, Trustworthy AI for decision support in mission-critical systems, AI application to Industry 4.0 and IIoT, AI-Enhanced Communities, Neuromorphic processing systems, Interaction of AI and chaos theory with application to statistical simulation of complex physical processes, HPC for industry applications

I am a Statistical Physicist Interested in Complex Networks

Former President, Portuguese AI Association

Dr Monique Calisti, CEO of Martel Innovate, is a passionate entrepreneur and ICT expert featuring a digital soul and consolidated hands-on experience in research and innovation funding, strategic consulting, training, communication, social media marketing, as well as business development of sustainable and innovative software solutions across several industry segments.

Specialized in European Commission funding, with extensive domain knowledge in Artificial Intelligence and Next Generation Internet technologies (IoT, 5G, Cloud/Edge, etc.), Monique helps our customers and partners in developing effective and agile innovation strategies and plans. She has been recently appointed as member of the Board of Directors of ADRA – the AI, Data and Robotics European Partnership.

Monique has recently founded the non-profit association Digital for Planet – D4P that works to support the design, development and adoption of innovative and sustainable digital technologies, systems and solutions empowering people, communities and both public and private organisations to address the major social, economic and environmental challenges humanity must face.

Dr Calisti has been serving the European Commission as expert evaluator and reviewer for many years, and is currently the Director of the EU Next Generation Internet Outreach Office and Coordinator of the European Next Generation Internet of Things project.

In the last 20 years, Monique has been speaker and moderator at several major scientific, technology and policy events, she authored and edited many professional publications and many R&D project proposals and served as Program Committee member of several international conferences.

Monique holds a Ph.D. in Artificial Intelligence from the Swiss Federal Institute of Technology of Lausanne, Switzerland, and a Ph.D. in Telecommunications Engineering from the University of Bologna, Italy.

EurAI Fellow

IEEE Senior Member

* Professor in Electrical Engineering + PhD physics
* ERC conslidator grantee
* Leader of the ISP group (isp.uv.es): 30 people on image and signal processing
* h=57
* >13000 citations
* >200 journal papers
* Areas: Machine learning for Earth sciences (geoscience, remote sensing, climate, environmental sciences)
*

Bd Pérolles 80

Areas of interest:
-Machine Learning
-Quantum Computing
-Quantum Computing for Machine Learning

Barbara Caputo is Full Professor at the Politecnico of Torino and Principal Investigator at the Italian Institute of Technology (IIT). Her main research interests are in computer vision, robot vision and applied machine learning. Her research is sponsored by the Swiss National Science Foundation (SNSF), the Italian Ministry for Education, University and Research (MIUR), the European Commission (EC), nVIDIA, ItalDesign, FCA and the European Research Council (ERC). In 2014, she was awarded an ERC Starting Grant for the project ‘RoboExNovo’.

ACIA associate
Machine Learning
Computational Intelligence

Researcher at High-Energy Physics, Astroparticles, Cosmology Dept.

Vice-President of Instituto Pedro Nunes, Coimbra. Treasurer of Association for Computational Creativity.

I’am currently a PhD student at Scuola Normale Superiore and my work will be focused on developing AI tools to tackle problems in biology and bioinformatics and computational chemistry.

I’m enthusiast about the idea of applying what I learned so far about Deep Learning, Graph Neural Networks and social systems to a new set of problems. I hope this experience will produce new insights and methodologies able to foster scientific research and, possibly, impact therapy and diagnosis of cancer. Chiefly, I look forward to deepen my knowledge in topics such as pharmacogenomics, drug discovery and protein design.

Leader of LOG team:
ulog.udl.cat

AAAI Fellow, EurAI Fellow, IJCAI past Trustee and President

Areas of interest/expertise: Machine Translation, Machine Learning, Image Description, Computer-assisted Translation.

I am an expert and lead researcher in AI4NETS at the Austrian Institute of Technology in Vienna. AIT is Austria’s largest Research and Technology Organization, and an international key player in many of the research areas it covers. AI4NETS – AI for Networks, is my attempt to drastically improve the functioning and operation of the Internet and the services relying on it through the systematic and successful application of AI/ML concepts. For the last 15 years, I have been tackling the core challenges hindering the acceptability and adoption of AI/ML in networking applications such as security, performance, anomaly detection and troubleshooting, and Quality of Experience. I work as principal investigator, project manager, technical work leader and researcher in multiple international projects in AI4NETS, I have published more than 150 papers around AI4NETS topics, receiving 13 best paper, best demo, and best student work awards. I periodically organize different international scientific events such as summits, workshops, and groups of interest around AI4NETS topics, having organized 17 of these events in the last five years, 11 of them initiated individually by myself. My main research interests include artificial intelligence, machine-learning, and data mining based approaches for Networking, big data analytics and platforms, Internet network measurements, network security and anomaly detection, as well as QoE modeling, assessment and monitoring.

Michelin Group CIO
Scientific council for INRIA and IRT System X
Lead scientist / dev for Knomee

Lecturer & Researcher; University of Hildesheim; Media Informatics; Explainable Artificial Intelligence, Multimodal Human-Computer Interaction

EurAI Fellow

EMPLOYMENT HISTORY

2017- Present: Associate Professor in Intelligent Interactive Systems, Department of Information Technology, Uppsala University

Since 2014: Director, Uppsala Social Robotics Lab

2016:
Docent (Habilitation) in Computer Science with Specialization in Human-Computer Interaction, Department of Information Technology, Uppsala University, Sweden

2014-2017:
Assistant Professor in Intelligent Interactive Systems, Department of Information Technology, Uppsala University

2011-2014:
Senior researcher, School of Electronic, Electrical and Systems Engineering
University of Birmingham

2008-2011:
Postdoctoral researcher
School of Electronic Engineering and Computer Science, Queen Mary University of London

2008: PhD in Information and Communication Technologies, University of Genova, Italy

RESEARCH INTERESTS/EXPERTISE

Social robotics, human-robot interaction, robot learning, robot ethics, trustworthy robots, affective computing, multimodal interaction

PUBLICATIONS:

See full list at:
https://usr-lab.github.io/publications/

Google H-INDEX: 24

FELLOWSHIPS, AWARDS, MERITS

2014: Selected ‘Strategic recruitment’, Faculty of Science and Technology, Uppsala University, Sweden

2018-2021: H2020 Marie Skłodowska-Curie ITN project ANIMATAS (3.9 mEUR): PI

2016-2021: SSF (Swedish Foundation for Strategic Research) project COIN (~3.3mEUR), PI for Uppsala University

2016-2020: Swedish Research Council (VR) Starting grant (~350K EUR): PI (acceptance rate: 11%)

2012-2016: EU FP7 project EMOTE: (2.9 mEUR): Project Coordinator; PI

2012-2013: EU FP7 project ILearnRW (1.8 mEUR): co-PI

EDITORIAL BOARDS

2019-now: Board of Associate Editors of IEEE Transactions in Affective Computing

2018-now: Board of Associate Editors of Frontiers in Robotics AI, Human-Robot Interaction section

2017-now: Board of Distinguished Reviewers of ACM Transactions on Interactive Intelligent Systems

2018: Guest Editor, Frontiers, special topic Affective and Social Signals for HRI

2018: Guest Editor, International Journal of Social Robotics

2012: Guest Editor, ACM Transactions on Interactive Intelligent Systems

2010: Guest Editor, Journal on Multimodal User Interfaces

MEMBERSHIPS OF SCIENTIFIC SOCIETIES

2007-now: Member of the Association for the Advancement of Affective Computing (AAAC)

2011-2016: Elected Member of the Management Board of AAAC

PRIZES AND AWARDS

2018: Frontiers Spotlight Award finalist, with the special topic Affective and Social Signals for HRI

2016: ACM/IEEE Intl. Conf. on Human-Robot Interaction 2016 – Best paper award

2016: EMOTE project named “one of five exemplary EU projects”, final project review
2014: ACM/IEEE Intl. Conf. on Human-Robot Interaction 2014 – Best (late breaking) paper award nominee

2012: International Conference on Social Robotics 2012 – Best Student Paper Award

SELECTED PUBLICATIONS

[1] Alves Oliveira, P., Sequeira, P., Melo, F., Castellano, G., Paiva, A. (2019). Empathic Robot for
Group Learning: A Field Study. ACM Transactions in Human-Robot Interaction.

[2] Obaid, M., Aylett, R., Barendregt, W., Basedow, C., Corrigan, L., Hall, L., Jones, A., Kappas, A., Küster, D., Paiva, A., Papadopoulos, F., Serholt, S.,Castellano, G. (2018).
Endowing a Robotic Tutor with Empathic Qualities: Exploring Children’s Learning and Perceptions. Intl. Journal of Humanoid Robotics, 15(6).

[3] Jones, A., Castellano, G. (2018). Adaptive Robotic Tutors that Support Self-Regulated Learning: A Longer-Term Investigation with Primary School Children. International Journal of Social Robotics, 10(3).

[4] Jones, A., Bull, S., Castellano, G. (2018). I Know That Now, I’m Going to Learn This Next” Promoting Self-regulated Learning with a Robotic Tutor. International Journal of Social Robotics, 10(4).

[5] Castellano, G., Leite, I., Paiva, A. (2017). Detecting perceived quality of interaction with a robot using contextual features. Autonomous Robots.

[6] Papadopoulos, F. Küster, D. Corrigan, L. J., Kappas, A., Castellano, G. (2016). Do relative positions and proxemics affect the engagement in a human-robot collaborative scenario? Interaction Studies, 17 (3).

[7] Castellano, G., Leite, I., Pereira, A., Martinho, C., Paiva, A., McOwan, P.W. (2014). Context-Sensitive Affect Recognition for a Robotic Game Companion. ACM Transact. on Interactive Intelligent Systems, 4(2).

[8] Leite, I., Castellano, G., Pereira, A., Martinho, C., and Paiva, A. (2014). Empathic Robots for Long-term Interaction: Evaluating Social Presence, Engagement and Perceived Support in Children. Intl. Journal of Social Robotics, 6(3).

[9] Castellano, G., Leite, I., Pereira, A., Martinho, C., Paiva, A, and McOwan, P. (2013). Multimodal Affect Modelling and Recognition for Empathic Robot Companions. Intl. Journal of Humanoid Robotics, 10(1).

[10] Castellano, G., Mancini, M., Peters, C., & McOwan, P.W. (2012). Expressive Copying Behavior for Social Agents: A Perceptual Analysis. IEEE Transactions on Systems, Man and Cybernetics, Part A, 42(3).

I am head and scientific responsible of the Assistive Robotics Lab of the BioRobotics Institute, Scuola Superiore Sant’Anna. I am currently leading a group of 17 people, among which 3 PhD Students, 6 Post Doctorate and 8 assistant researchers. The objectives of this lab are to promote and evaluate novel service robotics for active and healthy ageing, to identify and validate disruptive healthcare paradigms for neurodegenerative and chronic diseases, focusing on prevention and support for physical and cognitive declines, to optimize the management of working life for improving efficiency, security and QoL of workers in industrial settings. The main technological challenges concern social robotics, human robot interaction, wearable sensors, Internet of Things and artificial intelligence for robot companion and healthcare applications. Additionally I am dealing with service robotics for Industry 4.0 applications.
From November 30, 2013 to the present, I am partner business (8%) and business developer of the Spin-Off Company TechnoDeal srl, Peccioli (PI), Italy (www.technodeal.eu), working on due diligence and ICT robotics consulting.
From February 04, 2016 to the present, I am Founder, partner business (40%) and Chief Technology and Operation Officer of the Spin-Off Company Co-Robotics srl, Ponsacco (PI), Italy (www.corobotics.eu), working the design and production of robotic and IoT solutions.

He is a tenured Assistant Professor at the Computer Science Section (SIFT) in the Department of Sciences and Technology (DCeT) at Universidade Aberta. He worked in the Polytechnic Education System from 1991 to 2008, namely as Adjunct Professor in the Setubal and in the Lisbon Polytechnic Institute.

He received the degree in Computer Science Engineering from the New University of Lisbon (FCT-UNL) in 1988, the MSc degree in Operational Research and Systems Engineering from the Technical Lisbon University (IST-UTL) in 1994 and the PhD degree in Systems Engineering from the Technical Lisbon University (IST-UTL) in 2002.

His research areas are in the intersection of Computer Science and Systems Engineering, namely the Heuristic Optimization and the Data Mining.

Passionate about people and technology, I am the CEO of ReliaSol.ai a successful scale up company headquartered in The Netherlands.

We developed a Digital Platform for Predictive Maintenance based on Artificial Intelligence (Deep Learning) that helps our customers to optimise their industrial processes, increase their production uptime and decrease their maintenance costs.

Customers like Bühler, Opel, Volkswagen, EDF, Howden, GE Power among others have already trusted in our expertise and experience.

Computer Scientist with a passion for Research and Development. Expert in Web technologies with specialization in Semantic Web, Semantic Interoperability, Human Computation, Citizen Science, Human-in-the-loop Machine Learning and Data Analytics.
Head of the Knowledge Technologies Group, a competency group in Human Computation and Semantic Interoperability with a focus on Smart Cities and transport/mobility. Project Manager and Project Coordinator, 15+ years of experience in 25+ cooperative research projects, at regional, national and European level, with increasing responsibilities over time.

Formerly: LIRMM,France; currently: FBK Fellow, Italy

Member of the Euramas Board of Directors (Deputy Chair), member of the Board (General Secretary) of the Hellenic AI Society (EETN)

Fellow IEEE, Past President IEEE-RAS Society

AI*IA member

Computational Linguistics, Natural Language Processing, Human-Robot Interaction

I lead product development for Bitfury AI. At Bitfury AI, we are developing disruptive hardware technology to accelerate efficient machine learning in the edge. I am interested in machine learning and contributing back to the community.

PhD, CEO

Daniela Chudá received the Mgr. (Master) degree (cum laude) from the Faculty of Mathematics and Physics, Comenius University, Bratislava, Slovakia, in 1993, and the Ph.D. degree in applied informatics from the Faculty of Economic Informatics, University of Economics, Bratislava, Slovakia, in 2005. She is currently an Associate Professor of informatics with the Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava. She has published 41 research articles and papers and the textbooks Programming 1, Programming in C, and Guide Pathfinder for the Information Highway. Her research interests are in the area of information systems, quality of information systems, security and privacy, user modelling, in particular she focuses on similarity of texts and behavioral biometric authentication.
Assoc. Prof. Chuda is a member of the Association for Computing Machinery (ACM).
Researche group: Information Processing: Spreading and Privacy
People are ever more connected to Web. Their communication takes place in a digital space in human – Web interaction. We investigate how people spread information in Web environment by passing, sharing, commenting etc. either in original or similar form. Research focuses on trustworthiness of the spreaded information and respect for human privacy. Spreading, sharing of information should be dependable. Information, which has an inherently interactive behaviour, should be as comprehensible as possible to people – users (new interaction and visualization metaphors).
Keywords:
Web of People, Human Web Interaction, Opinion Sharing, Information Reliability and Trustworthiness, User Identification and Privacy, Behavioral Biometric, Visualization

Statistical and machine learning, genomics, medicine, bioinformatics

President of GRIN, association of Italian CS professors and researchers

Areas of specialization
Computational Intelligence, Machine Learning, Signal Processing, Data Mining, Data Analysis in Astrophysics, Geology and Biology, Brain Computer Interface

Current positions
– Associate Professor, Department of Science and Technology, University of Naples “Parthenope”,
Italy
– Coordinator of the Bachelor’s degree in Computer Science, Department of Science and Technology, University of Naples “Parthenope”,
Italy
– Member of the Albo “Esperti della Valutazione – Profilo Esperti Disciplinari”, Italian National
Agency for the Evaluation of Universities and Research Institute (ANVUR)
– Coordinator of the IoS Foundation Program at University of Naples “Parthenope”, Scientific and
Technological cooperation agreement between University of Naples “Parthenope” and Apple Distribution International
– Head of the research laboratory “Computational Intelligence and Smart Systems”, Department of
Science and Technology, University of Naples “Parthenope”
– Member of the Commission for the best Doctoral Thesis “Premio Caianiello”, Italian Neural Networks Workshop, WIRN
– Member of the Albo “Esperti Scientifici istituito presso il MIUR”, REPRISE

Scientific Societies Memberships
IEEE Fellow, IEEE Computational Intelligence Society, IEEE Signal Processing, SIREN – Società
Italiana REti Neurali, GIRPR – Gruppo Italiano Ricercatori in Pattern Recognition, AIxIA

Scientific Activities Short Resume
The main research interests of Angelo Ciaramella are Soft Computing, Machine Learning and Data
Mining. In particular he is interested in statistical and Machine Learning approaches for Blind
Source Separation, Sparse Coding, Compressive Sensing and Dictionary Learning, for signal processing (i.e., audio, streaming, astrophysical and geological) and feature extraction. Moreover, he has been working on fuzzy and neuro-fuzzy systems for structured and unstructured data. Recently, he is interested for developing Fuzzy Decision Support Systems in risk assessment. He also studied and developed new methodologies for pre-processing, clustering, visualization and assessment of biological, air quality and social network data (e.g., twitter). Recently, he is also interested in signal processing by Deep Learning methodologies in Brain Computer Interfaces.

I fully support Claire network and the philosophy behind it. It is key for Europe to nurture such a community and help it leading to innovative and world-scale companies. As an executive working on Ai projects and an actor of technology financing, I will be honored to help some ideas from Claire network and seed them for the creation of some European startups implementing Human-centric Ai products or any other Ai products that augment human intelligence instead of replacing it.

I received Ph.D. from Univ. of Campania (IT) in ’13. In ’11 I was involved in the VRP of the NATO CMRE, La Spezia, IT. In ’12 I was a Visiting Scholar at the ECE Dept of UConn, US, under the supervision of proffs Y. Bar-Shalom and P. K. Willett. In ’13-14 I was a PostDoc at DIII-UniCampania, funded by MIUR-FIRB ’13. In ’15 and ’16 I was Guest Researcher at the Dept of Electronics and Telecom, NTNU, NOR. In ’14-’16 I was a PostDoc at DIETI, Univ. of Naples, “Federico II”, IT and, since ’17, Researcher at NM2. Research interests: Data Fusion, Spectrum Sensing, Wireless Sensor Networks, Massive MIMO, Radar and Sonar, Det. Theory, Network Traffic Classification and Machine/Deep Learning. IEEE SM’16 (Student ’11-13, Member ’14-15). Nominated “Exemplary Reviewer” by IEEE Comm. Lett. and IEEE Trans. on Comm., in ’13/’17 and ’14, respectively. Currently serving as AE for Elsevier IF, Neurocomputing, IEEE IoT J and Comm Lett. Senior AE for IEEE T-AES journal.

EurAI and Royal Academy of Engineering Fellow

Head of Computer Science Department

Juan Manuel Corchado (born May 15, 1971, Salamanca, Spain). He is Full Professor with Chair at the University of Salamanca. He was Vice President for Research from December 2013 to December 2017 and the Director of the Science Park of the University of Salamanca. Chosen twice as the Dean of the Faculty of Science, he holds a PhD in Computer Sciences from the University of Salamanca and a PhD in Artificial Intelligence from the University of the West of Scotland. He is the Director of BISITE (Bioinformatics, Intelligent Systems and Educational Technology), which was created in the year 2000 and also the director of the IOT Digital Innovation Hub and a Member of the AIR Institute.

J.M. Corchado is a Visiting Professor at the Osaka Institute of Technology since January 2015, Visiting Professor at the Universiti Malaysia Kelantan and a Member of the Advisory group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL).

He has also been President of the IEEE Systems, Man and Cybernetics Spanish Chapter and the academic coordinator of the Institute of Digital Art and Animation of the University of Salamanca. Juan M. Corchado has also been a researcher at the Universities of Paisley (UK), Vigo (Spain) and at the Plymouth Marine Laboratory (UK).

He also oversees Master´s Degrees in: Security, Digital Animation, Mobile Telephony, Information Systems Management, Internet of Things, Social Media, 3D Design and Printing, Blockchain, Z Systems, Industry 4.0, Agile Project Management and Smart Cities & Intelligent Buildings, at the University of Salamanca. J.M Corchado is Editor-in-Chief of Specialized Journals like ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal) and OJCST (Oriental Journal of Computer Science and Technology).

J. M. Corchado works on projects in the fields of Artificial Intelligence, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids, Sentiment Analysis, etc.

Member of the Spanish Association for AI (AEPIA)
Juan López de Peñalver 2016 award, conferred by the Spanish Royal Society of Engineering (Real Academia de Ingeniería) to the best Spanish young researchers in the area of Engineering
Former EU Marie Curie research fellow

Interested in Research and Innovation Partnerships and the Digital Singularity.
Founder ISOGG Ireland.
Board and Task Member Smart and Sustainable Cities.

IEEE Fellow, Spanish National Computer Science Award, IEEE Computational Intelligence Society Outstanding
Early Career Award

Director Laboratory of Intelligent Interactive Systems (Brazil), member AI*IA (Italy), Senior member SSAISB (UK), Senior member ACM (US), Honorary research fellow Univ. Aberdeen (UK)

Filipa Correia received a Ph.D. in Computer Science from the University of Lisbon, Portugal, 2021. She is currently a postdoctoral researcher at LARSYS and INESC-ID. Her multidisciplinary research tackles the intersection of robotics, computer science and social psychology (i.e., human-robot interaction), and it is particularly focused on group dynamics between humans and robots in collaborative scenarios. In the past, she was a teaching assistant in the courses of Artificial Intelligence, Multi-Agents Systems, Society and Computing, and Social Robots & Human-Robot Interaction. She had also been part of two EU Projects, EMOTE and iv4XR. Filipa has scientific contributions as book chapters, journal papers and top-tier conference papers (e.g., RSS, AAMAS, IROS, HRI, ASSETS), and she also did community service as a reviewer and a Program Chair of the HRI Pioneers Workshop. Her work has been widely acknowledged by the scientific community especially within the topics of human-robot group interactions and human-robot teamwork. Two examples of such recognition are her current citation stats and h-index, 324 and 11 respectively, and her attendance at an invitation-only Dagstuhl Seminar (19411).

Former Vicepresident of ECCAI, Coordinator of the Artificial Intelligence Master Program, Former Coordinator of the Artificial Intelligence PhD Program (21 years)

Ulises Cortés is a Full-Professor and Researcher of the Technical University of Catalonia (UPC) since 1982 (tenured since 1988 and habilitated as Full-Professor since 2006) working on several areas of Artificial Intelligence (AI) in the Software Department including knowledge acquisition for and concept formation in knowledge-based systems, as well as on machine learning and in autonomous intelligent agents.
Since 2017 Professor Cortés is the scientific manager of the High-Performance Artificial Intelligence group at the Barcelona Supercomputing Center.
Since 1989 Professor Cortés and his group have been applying for their work in Artificial Intelligence to Environmental Sciences in special to Wastewater Treatment Plants with the financial support of CICyT and CIRIT and the European Union.
He is a co-founder of SISLTECH and member of its Board of Directors from 2011 until 2016.

In collaboration with the Hospital de la Santa Creu I Sant Pau from 1999 until 2007, Ulises was working in the development and deployment of CARREL: An Agent-Mediated Institution for the Exchange of Human Tissues among Hospitals for Transplantation”. And in collaboration with Hospital Santa Lucia (Rome) and the University of Málaga since 2001, he is working in the development and deployment of e-Tools: Assistive technologies for the disabled and the new generation of senior citizens.
Since 1991, he is the Coordinator of the Artificial Intelligence PhD program for the Technical University of Catalonia. Since, 2012, Prof. Cortés is Deputy vice-rector for European Research or the Technical University of Catalonia. Since 2007 and until 2012, Professor Cortés was the Academic Coordinator of the Barcelona Supercomputing Center. He is the Academic Coordinator for the Inter-university Master programme on Artificial Intelligence from 2011 (he was from 2005 to 2010) and was appointed vice-dean for International Relations at Barcelona School of Informatics from 1993 to 1998.

Fellow of the Mexican Asociation for Artificial Intelligence (2018). Since 2012 Ulises is a member of the Mexican “Sistema Nacional de Investigadores” with a Nivel III. He was awarded with the Advanced Research Accreditation by Agència per a la Qualitat del Sistema Universitari de Catalunya in 2004 as well as appointed to the CLUSTER chair at the École Polytechnique Fédérale de Lausanne (EPFL) for the academic course1998-1999.

Professor Cortés advised 24 PhD. Thesis, two of them have been awarded the ECCAI AI Dissertation Award, and more than 20 Master Thesis in the field of Artificial Intelligence and has more than 50 papers in international journals and more than 150 papers in Conferences and Workshops in the same period. Several of his former PhD students are now internationally known AI scientists.

Current research interests:
Decision Support Systems, Data Mining, Data Science, Forecasting and Modern Optimization.

AI*IA member, ACM member

Ph.D. in AI from Telecom Paris, ENST
10 years co-developping Mila as Director AI for Humanity, Executive Director and Director of Technology Transfer under the supervision of Prof. Yoshua Bengio, Turing Award Laureate 2018.
Interests: contribute to build a better world with a responsible and sustainable use of AI.

I’m Mathematical and Industrial Engineer. Doctor in Science. Member of IEEE, ACM, INFORMS and European Society of Operational Research. I have interest in Machine Learning, Operational Research, Artificial Inteligent, Analytics, Data Science, Data Mining and Simulation.

165 Duke St. W. Unit 312

Areas of interest:
– Nonlinear Constraints over Continuous Domains
– Uncertainty Representation and Reasoning with Interval Constraints
– Constraints for Differential Equations

– machine learning for sciences: cosmology, medical image analysis, genomics and cancer research
– quantum machine learning
– machine learning method development

Tamás Gábor Csapó obtained his MSc in computer science from Budapest University of Technology and Economics (BME), Hungary in 2008. Between 2008-2014, he was a doctoral student at the Speech Technology and Intelligent Interactions Laboratory of BME, where he obtained his PhD degree. In 2007, he was awarded with 1st prize of the National Conference of Scientific Student’s Associations, Hungary. He received a CIRE student grant of the Acoustical Society of America in 2010 and was a Fulbright scholar at Indiana University, USA in 2014, where he started to deal with ultrasound tongue imaging. In 2016, he joined the MTA-ELTE Lingual Articulation Research Group, focusing on investigating the Hungarian articulation during speech production. Since 2017, he has two national research projects about ultrasound-based silent speech interfaces. His research interests include speech synthesis, speech analysis, vocoding and ultrasound-based tongue movement analysis.

Diretcor of Italian CINI Lab of artificial Intelligence and Intelligent Systems; IAPR Fellow; President of Italian association in Computer Vision, Pattern recognition and Machine Learning

Engineer of bimedical electronics, specialised in fractal and nonlinear analysis of electrophysiological data, turned PhD Neuroscientist, focused on data-driven computational psychiatry, mailnu depression early detection and prediction, CVD risks detection and remote monitoring of outpatients. I strongly advocate for early detection, prevention and personalized approach, together with Bayesian approach, and active inference applications.

School of Engineering, Computing and Mathematics

5, avenue des Haut Fourneaux

EuRAI Fellow, ACL Fellow

Areas: very interested in Responsible AI (co-applicant of one such proposal), particularly in interface with legal aspects. Other strong areas of research: computational linguistic, grammatical inference for indigenous, under sourced languages, logic programming (one of the 15 founders), computational molecular biology, constraint based reasoning (CHR), knowledge bases, responsible AI.
Awards include: Chair of Excellence Award from the European Commission (2008-2011), for my work on Constraint Solving and Language Processing for Bioinformatics. See other awards at http://www.sfu.ca/people/veronica/cv.html#Awards

Ernesto Damiani is a Professor of computer science at the University of Milan, where he leads the SEcure Service-oriented Architectures Research (SESAR) Lab. Ernesto is the Founding Director of the Center on Cyber-Physical Systems at Khalifa University, in the UAE. Ernesto Damiani received an honorary doctorate from Institut National des Sciences Appliquées de Lyon, France (2017) for his contributions to research and teaching on Big Data analytics. Ernesto is the Principal Investigator of the H2020 TOREADOR project on Big data as a service. His research spans Cyber-security, Big Data and cloud/edge processing, where he has published over 600 peer-reviewed articles and books. He is Distinguished Scientist of ACM and a recipient of the 2017 Stephen Yau Award.

Das Forschungszentrum „Human-Cyber-Physical Systems: Safety, Acceptance, Social and
Cultural Embeddedness” (FZ HCPS) versteht sich als eine fächerübergreifende Plattform, die Forscherinnen und Forschern der Universität Oldenburg, der Jade Hochschule sowie außeruniversitärer Forschungseinrichtungen die Möglichkeit der Erstellung, Abstimmung und Umsetzung einer gemeinsamen Forschungsstrategie im Bereich Human-Cyber-Physical Systems ermöglicht.

Unter dem Leitbild, technologische Innovationen nicht nur zu erforschen und zu erschaffen, sondern diese systematisch interdisziplinär zu reflektieren und verantwortlich zu gestalten, verfolgt das FZ HCPS die folgenden Ziele:

Die synergetische, interdisziplinäre Vernetzung zur Etablierung international sichtbarer Spitzenforschung im Profil des FZ HCPS
Die Stärkung der Grundlagenforschung in ausgewählten Fragenstellungen des Schwerpunktes des FZ zur Erzielung von hoch sichtbaren Lösungen offener Forschungsherausforderungen der Grundlagenforschung
In Kombination der obigen beiden Ziele und unter Beteiligung der Forschungspartner am Standort die Einwerbung hochkarätiger Forschungsprojekte auf landes-, nationaler und europäischer Ebene
Die Schaffung von nachhaltigen Forschungsinnovationen mit hoher industrieller Relevanz
Der systematische Ausbau und die Bereitstellung von Living Labs als Demonstratorobjekte und Experimentierplattformen für Forschungsinnovationen

PI of the ERC Consolidator grant FORSIED

Msc in AI from Utrecht University
PhD from Radboud University, focused on video information retrieval and semantics

Chair “Data Science meets Optimization” working group at the European Organisation for Operational Research

As the CTO of a company focussing on additive manufacturing and AI, my expertise lies in the hybrid between these 2 technologies. This being AI for 3D objects and 3D manipulation / designing.

In my professional experience I’ve noticed the need for an International AI innovation network, so I want to put my efforts into this to make it happen. Therefor I strongly believe in CLAIRE!

Ivanoe De Falco (Naples, Italy, March 2, 1961) received in 1987 his degrees (cum laude) in Electrical Engineering from the University of Naples “Federico II,” Naples, Italy.

He is currently a Senior Researcher with the Institute for High-Performance Computing and Networking (ICAR) of the National Research Council of Italy (CNR), Naples, where he is the Responsible of the Computational Intelligence Laboratory, and serves in the Institute Management Board.

His main research interests include computational intelligence and soft computing, with particular attention to evolutionary computation and neural networks, artificial intelligence, machine learning, parallel computing, and their application to real-world problems, especially in the medical domain.

He is the author of more than 120 papers in international journals and in the proceedings of international conferences.

His list of publications can be found at:
– Scholar (H index: 22):
https://scholar.google.it/citations?user=VsR7GA8AAAAJ&hl=en
– Scopus (H index: 17):
https://www.scopus.com/authid/detail.uri?authorId=6701783291

Mr. De Falco is a Member of the IEEE Systems, Man, and Cybernetics Society’s Technical Committee on Soft Computing, of the IEEE ComSoc Special Interest Research Group on Big Data for e-Health, of the IEEE Computational Intelligence Society Task Force on Evolutionary Computer Vision and Image Processing, and of the World Federation on Soft Computing (WFSC).

He serves as an Associate Editor for the Applied Soft Computing Journal (Elsevier) (IF 2018: 3.907).

Mr. De Falco is the organizer of many international conferences, workshops, and special tracks in his fields of interest, with specific reference to applications to e-health, medicine, biology, healthcare, and wellbeing.

AI*IA member

José de Gea Fernández, born in 1976, received his M.Sc. in Electronics Engineering (2002) from the Technical University of Catalunya (UPC), Spain and his PhD in Robotics (2011) from the University of Bremen, Germany. Between 2003 and 2009 he was a Researcher at the Robotics Group of the University of Bremen. Since 2009 he is working at the Robotics Innovation Center (RIC) of DFKI (German Research Center for Artificial Intelligence) in Bremen. There, from 2011 to 2013 he acted as Deputy Head of the Department for “Mobility and Manipulation”. Currently, he is Senior Researcher and the Head of the Team “Robot Control”. He has co-authored over 40 scientific publications and has been involved in different German national (BMBF, DFG, BMWi, DLR) and European projects (EU, ESA) in several areas within his research in robotic manipulation. He led the DFKI team in the German project SemProm, which specified the software / hardware characteristics and designed the control strategies for the humanoid robot AILA. He acted as project leader of the DFKI contributions in the EU Project Robofoot and led the four-year project BesMan (Behaviors for Mobile Manipulation), funded by BMWi (German Federal Ministry of Economics and Technology) and DLR (German Space Agency). His main research area is on mobile manipulation, basically interested on control concepts to perform complex manipulation actions in unstructured and dynamically changing environments. He is also active in the area of safe human-robot collaboration, currently leading the European project FourByThree in which DFKI RIC develops new series-elastic actuators to create safer industrial robot manipulators. Moreover, he led the cooperation project iMRK with Volkswagen in which a novel safe and intuitive dual-arm robotic system was developed for human-robot collaboration in production scenarios. Currently, he leads the DFKI RIC contributions in the project HyBr-iT (funded by German Federal Ministry of Education and Research – BMBF) in the area of human-robot collaboration which includes important industrial participation.

AAAI Fellow, ACM Fellow, EurAI Fellow

constraint programming
graphical models
bayesian network
combinatorial optimization
bioinformatics
genetics

Earth Observation (EO), Complex Systems, Blockchain,

since 2003: Theoretical Computer Science Teaching at several Universities A.S. in Berlin and Brandenburg and head of AIT Simulation Department of ssl.eu GmbH.
Before, leading scientist in: Leibniz Institute of Semiconductor Physics, Fraunhofer Association Institute FOKUS, Helmholtz Association of Nuclear Research

After a degree in Theoretical Particle Physics and a Ph.D. in Statistical Physics (SISSA, Trieste) on Entanglement Entropy, I’m currently into AI. In particular, I’m working out deep learning solutions applied to language. In addition, I am a machine learning instructor and an active speaker for meetups and events. Really interested in AI application for improving nature and human conditions.

Head of Cognitive Computing Lab of ICAR CNR
Area of interest/expertise
Artificial Intelligence
e-health

EurAI Fellow

Our research group is specialized in computational intelligence, with focus on applications in data(base) management.

– PhD in Artficial Intelligence from the Vrije Universiteit Brussel, Belgium
– Researcher in multi-agent systems, knowledge representation and reasoning, answer set programming
– interested in theory and application, verifiable solutions

I obtained my PhD at the Faculty of Economics and Business of KU Leuven. My research interests are in applied machine learning and data analytics in business areas such as business process management (process mining), marketing (churn prediction), banking and finance (fraud analytics), and education (learning analytics). My most recent research lines focus on representation learning in social networks, predictive process monitoring, trace clustering, and sequential pattern mining. I am main supervisor of 6 PhD researchers all doing research in applied machine learning in line with the topics listed above.

AI Expert

IEEE Senior Member

Vice-chancellor for Research at UAB (2012-2016)

FIEEE, ERC advanced grant holder

Elena’s main research interests are in data analytics, mobility, multilingual data, Open Data, the Web and Semantic Web.

GI Member, Chair of FFPA

Expertise in Industrie 4.0

My position in CETIC requires designing and defining the Research and Innovation Strategies for the whole organisation, driving its implementation and validating its applicability and usefulness for Industry. (CETIC is a Belgian RTO specialised in Digital Technologies responsible for digital transformation of companies in several sectors, notably, Smart Industry, Transport and Mobility, Health, Logistics, and Energy. CETIC assists companies with deveopping safe and secure autonomous complex systems relying on artificial intelligence thanks to its expertise in a wide range of areas: data engineering, data analysis, combinatorial algorithms and optimisation, model based engineering for CPS, for distributed Cloud systems and for the programmability of heterogeneous hardware and IoT in Edge networks.)

Directly related to AI research, we actively work on constraint based local search, federated machine learning, transformation of AI models for embedding on heterogenous hardware, and certifiability of AI-based systems.

I lead CETIC’s participation as core partner of TRAIL (Trusted AI Labs), an initiative supported by the Walloon Region through the ARIAC project involving 5 universites and 4 RTOS started in Jan21.

In general, my position enables me acting as a middleman for synthesising Industry needs in AI for developing amitious collaborative research and innovation projects with industrials partners (Large and SME) centered on real-world problems and datasets.

Brain Computer Interfaces

– Professor of Finance and machine learning at IESEG
– Expertise in neural networks (time series analysis) with CNN, LSTM, ResNet…

Complete information / research profile / publications / projects etc. available at my homepage (http://devedzic.fon.bg.ac.rs/). In addition, I am the founder and the Chair of GOOD OLD AI research network (http://goodoldai.org/) that would like to join CLAIRE. The network is internationally recognized and has run a number of fruitful research activities. For a quick overview of our publications, please visit https://scholar.google.com/citations?hl=en&user=cbkjIikAAAAJ.

My research background and interests involves stochastic optimization and control, distributed optimization over networks, reinforcement learning, privacy and security in machine learning, statistical machine learning, signal processing. I have held Professor positions in Australia, Sweden and Ireland and am on editorial boards of multiple IEEE Transactions. Have published 100 journal and over 120 conference papers in high impact journals and conferences, and obtained many nationally competitive grants in Australia and Sweden.

AI*IA member

My research activity focuses mainly on the themes of Artificial Intelligence and Data Management about techniques and applications of machine learning and recommender systems. Recently, my attention has shifted to exploiting the information encoded within Big Data datasets, such as those available thanks to the Linking Open Data initiative, to create content-based recommendation engines (content-based) or hybrid ones. On personalized information access and the modeling of user preferences, I have recently proposed innovative solutions that combine and integrate different aspects, solutions, and techniques from Artificial Intelligence.
Of great interest to my research is the security of Artificial Intelligence systems with particular reference to Adversarial Machine Learning.
Initially, my research was dedicated to solving theoretical and practical problems in distributed scenarios of resource retrieval and automatic reasoning. In order to verify the validity of the obtained results, these have consistently been implemented and tested in different application domains such as e-commerce, business process management, Web Service discovery, and decision support systems for skills management in recruitment agencies. Subsequently, guided by the results achieved in electronic commerce, my attention shifted to studying new ways to combine knowledge representation techniques and automatic reasoning, both to automatic negotiation between rational agents with preferences and to ubiquitous scenarios and protocols.

I am an auditor for national and international research projects related to my research topics, for high-level international journals and conferences in the fields of Artificial Intelligence, Machine Learning, Semantic Web, and Recommender Systems.

Awards
– Recipient of the Best Paper Award at the 3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining @ KDD 2021 with the paper “Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality”
– Recipient of the Best Research Student Paper Award at the 18th International Semantic Web Conference (ISWC 2019) with the paper “How to make latent factors interpretable by feeding Factorization machines with knowledge graphs”
– Reference tutor for the international IBM Ph.D. Fellowship award for the year 2015.
– Winner of the HP Labs Innovation Research Program 2011 Award with the “Semantic Expert Finding for Service Portfolio Creation” project. The project also obtained funding for the year 2012.
– Recipient of the Best Paper Award at the 8th International Conference on Semantic Systems (I-Semantics 2012) with the paper “Linked Open Data to support Content-based Recommender Systems”
– Recipient of the Best Workshop Paper Award at the 10th International Conference on Web Engineering (ICWE 2010) with the paper “Semantic wonder cloud: exploratory search in DBpedia”
– The paper “A unified framework for non-standard reasoning services in description logics” was selected in a shortlist of seven articles for the Best Paper Award (607 submissions – acceptance percentage: 22%) at the 19th European Conference on Artificial Intelligence – ECAI 2010
– Second place in the Business Idea Contest co-located with the 2nd Annual European Semantic Technology Conference (ESTC 2008)
– Recipient of the Best Theme Paper Award at the 9th International Conference on Electronic Commerce (ICEC 2007) with the paper “RFID meets Bluetooth in a semantic-based u-commerce environment”
– Recipient of the Best Paper Award at the Joint 8th IEEE Conference on E-Commerce Technology (CEC ’06) and 3rd IEEE Conference on Enterprise Computing, E-Commerce and E-Services (EEE’ 06) with the paper “Concept covering for automated building blocks selection based on business processes semantics “
– Recipient of the Best Paper Award at the 6th International Conference on Electronic Commerce (ICEC 2004) with the paper “Concept Abduction and Contraction for Semantic-based Discovery of Matches and Negotiation Spaces in an E-Marketplace”

Invited reports
– Tutorial at the 13th ACM International Conference on Web Search and Data Mining with the talk “Adversarial Machine Learning in Recommender Systems”.
– Tutorial at the 14th Extended Semantic Web Conference with the talk “Linked Open Data for Semantics-Aware Recommender Systems”.
– Keynote Speaker at the 3rd International Workshop on Knowledge Discovery in the Web with the talk “Recommender Systems: Models, Challenges, Solution”.
– Keynote Speaker at the 1st International Workshop on Keyword-based Access and Ranking at Scale with the talk “From Text to Knowledge Graphs to Recommender Systems”.
– Tutorial at the 16th International Conference on Web Engineering with the talk “Recommender Systems meet Linked Open Data”.
– Tutorial at the 10th Summer School on Ontology Engineering and the Semantic Web with the talk “Feeding Recommender Systems with Linked Open Data”.
– Keynote Speaker at the 6th International Conference on Web Reasoning and Rule Systems (RR 2012) with the speech “Semantic Matchmaking and Ranking: Beyond Deduction in Retrieval Scenarios”.
-Invited seminar at HP Labs in Palo Alto with the talk “Handling preferences in the Semantic Web”.
-Keynote Speaker at the 11th International Conference on Electronic Commerce and Web Technologies (EC-Web 2010) with the talk “Electronic Markets, a look behind the curtains: how can semantic matchmaking and negotiation boost e-commerce?”

Research Project AIVT (Artificial Intelligence Virtual Trainer)

Dr. Di Rosa is currently Chief Technology Officer at App2Check, company dedicated to design and develop AI & NLP based software products, having as applications Customer Experience Analytics and Chatbots. He has a strong background in Artificial Intelligence, on both the Symbolic approaches to AI, more specifically in Automated Reasoning on which he wrote his PhD thesis, and on the ones based to Machine Learning and sub-symbolic representations. He is co-author of 18 scientific papers published by international peer-reviewed international journals/conferences/workshops/doctoral consortiums. Recently, he is more focused on Sentiment Analysis, Text Classification and Machine Learning. Recently, in this latter field, he was speaker at the 2017 Sentiment Analysis Symposium in New York, in the board of the ESWC-17 Challenge on Semantic Sentiment Analysis and won the irony detection task at Evalita SentiPolc 2016. He was speaker and reviewer in many international conferences and workshops. He works since 2004 on chatbot design and development and was awarded in 2005 by Confindustria Liguria for his chatbot project involving the use of Latent Semantic Analysis for man-machine dialogue. He has a strong interest in building connections between academy and industry, believing that a strong synergy can lead to an important positive impact in both worlds.

27c Bd Jourdan

PhD – Machine Learning
Research Interests: Reinforcement Learning, Probabilistic Modelling, Human Behavioural Modelling, Systems Neuroscience.

Conference speaker and White paper writer on AI ethical impact on society , on Quantum Machine Learning.
Mentor for AI startups (Edtech, Deeptech, Cognitive matching)

Markus Diesmann is one of the two original authors of NEST, the most widely used code for large-scale neuronal network simulations and the central simulation tool for this purpose in the HBP. He is interested in simulation technology and supercomputing and works on the neuroscientific foundations for neuromorphic computing.

Dear Sir/Madam,
I would like to be added as a supporter of the CLAIRE vision document on behalf of TECNALIA Research & Innovation.
TECNALIA Research & Innovation (www.tecnalia.com) is a private, independent, non profit applied research centre of international excellence. Legally a Foundation, TECNLIA is the leading private and independent research and technology organisation in Spain and one of the largest in Europe. The main goal is to transform knowledge into GDP, meaning wealth to improve people’s quality of life by generating business opportunities for industry. TECNALIA is committed to generate major impacts in economic terms, by means of innovation and technological development, addressed by 7 business divisions, covering economic sectors of Energy, Industry, Transportation, Construction, Health and ICT. TECNALIA is a key agent in the ERA (European Research Area) and it also actively participates in the governing bodies of several European Technology Platforms and partners. TECNALIA is a member of EARTO and of EUROTECH, linking together the most important research centres in Europe. This research network represents an excellent opportunity to provide a deep knowledge of future trends in society and technology to the group on AI. TECNALIA has been granted over 250 patents and promoted more than 30 spin-off companies, which highlights the knowledge-to-application-oriented activity in which I have developed my research activity.
I have more than 10 years experience in research activities related to AI paradigms at TECNALIA, which includes working in both national and international (EU funded) projects and targeting different application sectors such as maritime, renewable energy, railway, agro-food, civil structures and machine-tool. My research activity is focused on data science, transforming the intelligent analysis of information in competitive advantage for society, from imagination and innovation to real, sustainable impact. I also have an interdisciplinary training in engineering and computing, with strong quantitative skills. The ability to work in a team, a strong work ethic and problem solving skills are some of my strengths. Therefore, I strongly believe I can contribute to the CLAIRE vision document.
Yours faithfully,
Dr. Alberto Diez-Olivan.

EurAI Fellow

EurAI Fellow

Master in Computer Science at the University Bari, and PhD in Engineering at University of Salento (Italy). His main expertise are in the field of Artificial Intelligent, in particular Computer Vision and Pattern Recognition, Image Processing, Machine Learning and Robotics. Particular emphasis is devoted to the development of Deep Learning algorithms. He has been a visiting researcher at the Computer Science Department of the University of Massachusetts (Amherst, MA) where has carried out research activities under robotics, artificial neural networks and vision. Dr. Distante joined the Faculty of the University of Massachusetts as a Teaching Assistant, for the “Artificial Intelligence” 683 class of the Master in Sciences 1998. He received the Ph.D. in Material Engineering from the University of Salento. Dr. Distante joined in 2001 the Italian National Research Council of Italy CNR, focusing his research activity in the context of robot learning, visual grasping and pattern recognition applied to array of chemical sensors. Dr. Distante has been awarded with several fellowships, among them the CNR-NATO in which he has collaborated with the University of Manchester (Prof. Krishna Persaud) for the study of pattern recognition techniques applied to the context of gas sensor arrays for parameter drift reduction. Since 2003 he is Contract Professor for the courses of Pattern Recognition and Image Processing in Computer Engineering at the University of the Salento IT. Since 2010 he started a technology transfer activity by establishing a startup spinoff company named Taggalo.
In 2011, Dr. Distante has been awarded with the national innovation Prize working capital PNI-Cube TelecomItalia with the Taggalo project. He won the ChallengUP (Cisco, Intel and Deutch Telekom acceleration program) contest in 2015 with Taggalo. He served as general chair of several established conferences, among them the IEEE AVSS 2017 that focus on videosurveillance, the Video analytics for Audience mearuserement that focus on computer vision tech. for retail and digital signage. He is coordinating several joint research lab between CNR and Leonardo-Finmeccanica for security technology that focus on face recognition in the wild and videosurveillance, and between CNR and a pool of SMEs for the health sector. He is the unit manager of the Institute of Applied sciences and Intelligent system of the CNR where leads a group of researchers, PhD students, coordinates two industrial joint labs (security and health).
He is expert member in innovation for the Ministry of Education, Research and University (MIUR), as well as the Ministry of economic development (MISE) and a few regional agencies for technology and innovation.

https://adockhorn.github.io/

EurAI Fellow

My interest in CLAIRE is for application of AI in Earth Observation

Learning in robotics

Fellow AAAI, EurAI and IEEE; ERC Advanced Grant;
IEEE Frank Rosenblatt Prize; Co-director IRIDIA AI Lab

Since 2012, president of the Italian Association for Logic Programming

I am Director of the AI-driven Business research centre in Rennes School of Business. The centre focuses on cross-disciplinary application of AI to the business context.

IEEE Fellow

I major in optimization in the field of engineering, such as transportation, and vessel routing problem for marine debris collection.

EurAI Fellow

Fellow, International Neural Network Society,
Past president of the European Neural Network Society, AvH Fellow, past deputy minister for science in Poland. See CV on my web page.

AI in healthcare

I lead an AI/HCI lab with 20 people nworking on AI tools for sound, image, video, gesture, text processing.

EurAI Fellow, Director of the Intelligent Systems Lab, Dept. of Computer Science and Biomedical Informatics

Aerospace Engineer, Universität Stuttgart, Germany
PhD TU Hamburg Harburg, Germany:
AI Based Process Control and Failure Detection
Job: Airbus Defence and Space, Future Programs, Friedrichshafen, Germany,
Honorary Professor Universität Stuttgart for Satellite Systems Engineering and Operations,
Aere of interest: Satellite On-Board/On-Ground AI based Image Processing

Editor in Chief “Human Brain Mapping”
DFG Fachkollegiat Neurowissenschaften
H-Index (Google scholar): 100
Clarivate “highly, cited researcher”

EurAI Fellow, Member Academia Europea, kM Austrian Academy of Sciences

Principal data scientist of the MONA research team, applying deep learning for retinal image analysis

Soner Emec received his Dr.-Ing. degree from Berlin Institute of Technology for his work on scalable knowledge discovery in streaming sensor data for fault recognition in machining processes, Germany, in 2016. He studied 2009 Engineering Science (Dipl-Ing. ) with a focus on mechatronics at the Berlin Institute of Technology and system dynamics in Tomsk Polytechnic University, Russia. He works as a Research Engineer in the Department of Industrial Automation Technology at the production technology center of Berlin, is responsible for the engineering faculty coordination and the launch of the Bachelor-Master degree program Mechatronic Systems Engineering at the Turkish-German University in Istanbul.

He has experience in the areas of sustainable manufacturing, industrial automation and information technologies, and software development. His current research work is the sustainable integration of artificial intelligence techniques in industrial automation to improv scalable condition monitoring, predictive fault detection and online inspection in manufacturing. His research interests focus on the scalable and real-time pattern recognition on industry process data streams using machine learning as an enabler for advanced services and sustainable value creation.

In the past years, Soner Emec has worked on the cross-European project “Knowledge, Awareness and Prediction of Man, Machine, Material, and Method in Manufacturing” (KAP, WP1, WP10) funded as part of the Seventh Framework Programme of the EU. KAP was a multidisciplinary, industry-supported research initiative with 14 global partners from 8 EU countries, which aimed at developing the next generation ICT technology framework and manufacturing standards to ensure the efficient use of resources through the effective coordination of man, machine, material, and method by an increased intelligence across the automation pyramid.

Information field theory: knowledge driven machine learning

Head of Institute for Artificial Intelligence

Esposito Floriana currently works at the Department of Computer Science, Università degli Studi di Bari Aldo Moro. She is responsable of the LACAM Laboratory at the Computer Science Department. Esposito does research in Artificial Intelligence, Machine Learning and Data Mining. More in particular she works on: 1) Machine Learning methods and systems based on symbolic and numerical approaches. 2) Integration in first order logic of probabilistic methods for the development of reasoning techniques under uncertainty. 3) Inductive Logic Programming: Incremental and Multistrategy Learning. 4) Inductive methods for ontologies and Semantic Web representations. 5) Sum Product Networks and probabilistic architectures for Deep Learning.

I was the former Director of IIIA. Now I am retired but with a partial job in the institute

EurAI Fellow

Director PRA Lab

Constraint Programming Expert
Choco Solver co-administrator
ACP Doctoral Research Award
AFIA Doctoral Research Award

Natural Language – AI*IA Member – Semantic search engine prototype study

In 2011 I got my PhD with honors at UJI and my Dr.-Ing. title at Universität Bremen (UBremen), Germany (double Dr. degree). At the last stage of my PhD (2010-2011) I carried out industry technology transfer: I was a research engineer at the enterprise Cognitive Robots SL where I applied some results of my PhD thesis to the automation of scrubber machines and automatic mosaic assembling.

In 2012, as a postdoc, I got a position in open competition funded by the Excellent Initiative at the University of Bremen. In 2013, I was awarded a Marie Curie Intra-European Fellowships for Career Development based on scientific CV and research proposal which I conducted at Bremen Spatial Cognition Center (BSCC). In 2015, I got a 4-year Independent Post-Doc position funded by the Excellent Initiative at University of Bremen. At University of Bremen, 80% of my time was dedicated to research and 20% to teaching seminars about „Qualitative Descriptors and Computational Applications (QDCA)” and “Ethics for social robotics“. I developed teaching materials, gave lectures, supervised practical courses and evaluated exams. At BSCC I started and directed the Spatial Reasoning Games research team. I was also Junior Fellow at Hansewissenschaftkolleg of Advanced Studies at Delmenhorst, Germany (2015-2017).

In 2020, I was awarded a tenure-track Ramon-y-Cajal professorship by the Spanish Ministry of Science, and currently I am carrying out research and teaching courses at University Jaume I (UJI), Castellón, Spain.

My research expertise lies in Qualitative Spatio-Temporal Reasoning (QSTR) applied to robotics and to ambient intelligent systems. Recently I lead a new research line on defining qualitative models for solving spatial reasoning challenges to help people to improve their spatial cognition skills. Through all my research experience, I developed a multidisciplinary background which, apart from Qualitative Reasoning, Knowledge Representation techniques and Human-Machine Interaction, also includes Machine Learning, Colour Cognition, Bioinformatics, Geographic Information Systems and Creative and Spatial Problem Solving.

I am a member of the European Association for Artificial Intelligence (EURAI) and secretary at the main board of Catalan Association for Artificial Intelligence (ACIA).

AAAI and EurAI Fellow

ML+ KRR
Semantic Web Technologies

EurAI Fellow

EuRAI Fellow

Multi-Agent and Multi-Robot Systems
Coordination
Distributed Constraint Optimization
Reinforcement Learning

* Industrial Senior Software Developer AI for MLOps and Edge AI with focus on computer vision (especially semantic segmentation)
* Self-Employed machine learning researcher in the field of biomedical image data

PSI FLS Fuzzy Logik & Neuro GmbH is a Company within the PSI Software AG Group. I´m charaing the AI actitivities in the PSI Group.

EurAI Fellow, AAAI member

I am currently a postdoctoral researcher at the ULB in Belgium under a FNRS postdoctoral grant. In my research am investigate collective decision making in social dilemmas that are related to key global problems such as climate change, sustainability, fairness, etc. I combine Evolutionary Game Theory, Behavioral Econmics and Machine Learning to collect data and model how humans behave when facing such high risk problems, and look into how socio-technical systems may steer our decisions, and possible improve our social coordination.

Previously I did my PhD under an FWO SB grant in the Artificial Inteligence Laboratory (VUB, Belgium).

With a Bachelor’s Degree in Biomedical Engineering (UVIC-UCC) and a Master’s Degree in Computer Security Engineering and Artificial Intelligence (URV), I have worked for +3 years in R&D EU projects as an AI researcher and, more recently, technical project manager of AI EU projects. I have work in different AI research areas, including circular economy and industry 4.0.

Faculty, AI and Machine Learning, Northeastern University – Silicon Valley campus USA
Board Director – BigML Inc (Machine Learning Platform technology company)
Board Director – Arowana International ASX:AWN

I’m writing you because I’d like that my Acube lab is listed among the ones supporting Claire ntw. In fact I’m already part of the unit associated to the Department of Computer Science in Pisa. Hence I specified the website of the lab.

Rua Alves Redol nº9 piso 7

Phd In AI. Expertise in ML

business informatics, process mining, process prediction, process anomaly detection, process automation

https://www.researchgate.net/profile/Alvaro-Figueira

IEEE Fellow, IAPR Fellow.

SLAIS Board member

I’m a member of the Italian Association for Logic Programming and of the Italian Association for Artificial Intelligence AI*IA.

Leader of the UK Network on thr Verification and Validation of Autonomous Systems

AI Influencer | Top Digital Leader | Co-Founder SwissCognitive – The Global AI Hub | CIO CDO | Keynote Speaker | CIO of Year | Skipper

President of the Romanian Association for Artificial Intelligence (ARIA)

Director of the Swiss National Center of Competence in Research Robotics
http://nccr-robotics.ch

Also at the Finnish Center for Artificial Intelligence.

Department Of Computer Science

Full Professor at the University of Udine – Italy IAPR Fellow
President of the Italian Association for Computer Vision, Pattern Recognition and Machine Learning (CVPL)

I am the founder of computational chemistry company Culgi and am interested in the application of AI to the chemical industry.

Director of the European Masters Programme in Computational Logics

Ph.D-Thesis: “Prediction of the energy yield of wind turbines using probalistic neural networks”, 2003

EurAI Fellow

Member of the Royal Irish Academy

Bonseyes marketplace for artificial intelligence

EurAI Fellow, Dean

EurAI and GI Fellow

Head of Data Science

AIxIA member, IEEE Member, Data Mining and Big Data Analytics Technical Committee of the Computational Intelligence Society (IEEE)

* Kernels
* SVM
* RensorFlow
* DeepLearning
* Statistical Inference

Professor in Language Technology, AI Lab, Dpt of Computer Science, NTNU, Trondheim, Norway.
Senior Advisor, RISE SICS, Kista, Sweden.

EurAI member

http://fabien.info

Coordinator of STLab: http://stlab.istc.cnr.it

At HD Vision Systems we develop light field based multi-camera systems for quality inspection, robotics and automation. Our AI-based algorithms provide our partners with superior results in an easy-to-use manner.

FBCS, Director of the Research Centre for Machine Learning

My areas of interes are artificial intelligence, ubiquitous computing, human interaction computing, data science, data mining

More than 15 years at AI área
Interested in cognitive AI, pattern recognition, and Ethics in AI

I am an IT professional holding Information Technology (BSc) and Engineering Teacher (BSc) degrees at the Budapest Tech (now Óbuda University). Having 15+ years of project management experience in the private sector IT industry, with 5+ years of product management and business analysis experience in IT software development field.
Right now I am in the planning phase of a research/innovation/development program initiative, aiming to improve on and add support to investigation processes of law enforcement offices (as well as prosecutors and relevant NGOs) with a special focus on finding missing children in the EU through AI methodology-based solutions.

Dr. Gege Gatt is the CEO of London-based company EBO.AI, an Artificial Intelligence enterprise which enables the automation and personalisation of engagement. He is a digital entrepreneur and IT-Law specialist. He serves as the Vice President of the Malta IT law Association and a specialist examiner at the University of Malta. He’s a Board Member of Humanity 2.0 developed by the Holy See in Rome and a consortium of thought-leaders to identify impediments to human flourishing and then work cross-sector to remove them.

AAAI an d EurAI Fellow

1. Grant-holder, designer, and Director of the first MSc in Artificial Intelligence in the UK (1987), Kingston University London.
2. Visiting Scientist, Department of Experimental Psychology, University of Oxford (1990-1991).
Visiting professor at: Shizuoka University, Japan (May-June 2005); National & Kapodistrian University of Athens 2005-06 (Dept. of Philosophy and History of Science); University of Cyprus 2006 (Dept of Informatics); University of Crete 2007-2008 (School of Medicine); University of Oxford 2008-2009 (Faculty of Philosophy Academic Visitor, and elected SCR member of St. Johns’s College). Since 2008 he is an adjunct faculty member of the Interdisciplinary Graduated Programme in the Brain & Mind sciences, University of Crete.
3. Hellenic Society for Artificial Intelligence (founding member).
Elected fellow (1992) and member of the Council (2002) of The Cybernetics Society (FCybS). Elected member of the Governing Body (2011-2015) of the Hellenic Cognitive Science Society.
4.Research Fellow of British Telecom in the area of complex intelligent systems.
5. Grant holder (Principal Investigator), to the total of € 1.2 million by the EU and the British Government for research and educational projects.
6. Grants by the British Council.
7. Independent expert for the European Commission.

Angelo Genovese was born in Benevento, Italy, on February 19th, 1985. He received the B.Sc., M.Sc., and Ph.D. degrees in Computer Science in 2007, 2010, and 2014 respectively, from Università degli Studi di Milano, Italy. From 2014 to 2019 he was a Postdoctoral Research Fellow and since 2015 he is a member of the Industrial, Environmental, and Biometric Informatics Laboratory (IEBIL) at the Università degli Studi di Milano, Italy. He was a Visiting Researcher at the University of Toronto, ON, Canada from June 2017 to August 2017 and from December 2019 to March 2020. Since 2019 he is Assistant Professor at Università degli Studi di Milano, Italy, Department of Computer Science.

His research interests include signal and image processing, pattern recognition, three-dimensional reconstruction, artificial intelligence technologies, design methodologies, and algorithms for self-adapting systems, applied to industrial and environmental monitoring systems and biometric recognition. In the biometrics field, his focuses are on highly usable touch-based and touchless recognition based on palmprint and fingerprint, as well as recognition based on soft biometric traits.

He is an Associate Editor of the Springer Journal of Ambient Intelligence and Humanized Computing (AIHC) and Elsevier Array. He was a Member of the Editorial Committee for the Elsevier Book Trends in Deep Learning Methodologies. He has served as Program Chair/Co-Chair for the IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) (2020, 2019, 2018) and the IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS) (2018, 2017).

He is a Member of the IEEE, the IEEE Biometrics Council, the IEEE Computational Intelligence Society Task Force on Deep Learning, and the GRIN (Gruppo di Informatica). He is the Chair of the IEEE Italy Section Systems Council Chapter and the Co-Chair of the IEEE Instrumentation and Measurement Society Technical Commitee TC-22 – Intelligent Measurement Systems.

EurAI Fellow

Head of AI Department at Radboud University

Domaine de Voluceau – Rocquencourt

Expert in the use of machine learning for the analysis of drone/UAV and satellite imagery, specifically for sustainable development applications in the Global South.

EurAI Fellow

AI*IA board member

Fosca leads the Pisa KDD Lab – Knowledge Discovery and Data Mining Laboratory http://kdd.isti.cnr.it, a joint research initiative of the University of Pisa and ISTI-CNR, founded in 1994 as one of the earliest research lab centered on data mining. Coordinator of SoBigData.eu , the European research infrastructure on Big Data Analytics and Social Mining, http://www.sobigdata.eu. PI of AI4EU for CNR and HumanEAI, Member of the Management Board of Lab Articial intelligence and intelligent systems of CINI (Consorzio Inter-Universitario Nazionale di Informatica) (since 2018); _

• General Chair of DSAA 2017, Tokyo,
• General chair of ECMLPKDD2016. the European conference on Machine Learning and Knowledge Discovery in Databases), Trento, Italy, _
• Program chair of ICDM 2008, (the IEEE Int. Conf. on Data Mining), Pisa, Italy, _
• Program chair of ECML/PKDD 2004, Pisa, Italy. F.G. _
• Chair of the Steering Committee of European Conf. ML-PKDD (2012-2015).
• Member of Italian Delegation of G7-Academy for Canada 2018
• G7 at Ottawa (March 19-20) _ National referent for Thematic Area Data, Content and Media” of ICT Dept. of CNR (2018); _
• Member of Data Science PhD Board at Scuola Normale Superiore, Pisa, (since 2017); _
• Chair of the Management board of SoBigData.it: European Lab. on Social Mining and Big Data Analytics (2013-2017) (an inter-institutional aggregation of 10 research labs across: CNR, Univ. Pisa, Scuola S. Anna, Scuola Normale and IMT-Lucca);
• Member of Big Data Analytics Master Board at University of Pisa (since 2014);
• Member of the Steering Committee of EUDAS: European Data Science Association, Luxembourg University (since 2017);
• Member of the Commission for Big Data and Offcial Statistics of ISTAT, the Italian Statistical Institute(since 2013); _
• National Coordinator of Data mining and Semantic Web project of ICT Department of CNR, (2006-2009) with
• responsibility of harmonizing the activities of 12 labs of 9 di_erent CNR institutes all over Italy involving 90

http://natalie.uno/

AI*IA member

Xavier Giro-i-Nieto is an associate professor at the Universitat Politecnica de Catalunya (UPC) in Barcelona, and member of the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI-UPC) and Image Processing Group (GPI). He graduated in Telecommuncations Engineering at ETSETB (UPC) in 2000, after completing his master thesis on image compression at the Vrije Universiteit in Brussels (VUB) with Prof. Peter Schelkens. After working one year in Sony Brussels, he started a Phd on computer vision, supervised by Prof. Ferran Marqués. In parallel, he designed and taught courses at the ESEIAAT (video delivery) and ETSETB (deep learning) schools at UPC, as well as the Master in Computer Vision of Barcelona (video analysis). He visited multiple times the Digital Video and MultiMedia laboratory directed by Prof. Shih-Fu Chang at Columbia University in New York between 2008-2014, with whom keeps collaborating. He also works closely with the Insight Center of Data Analytics at Dublin City University, as well as his industrial partners at Vilynx, Mediapro, and Crisalix. He serves as associate editor at IEEE Transactions in Multimedia and reviews for top tier conferences in machine learning, computer vision and multimedia.

My professional and research interest is in bulding AI risk management methods in finance

EuRAI Fellow, was IJCAI president, was IJCAI Trustee

Adjunct Lecturer @ Athens University of Economics & Business. School of Economic Sciences, Department of International & European Economic Studies
I am currently working as:
Postdoctoral Researcher in AI & Bioinformatics @ Department of Fisheries & Aquaculture, School of Agricultural Sciences at the University of Patras
Digital Marketing Director @ OWEB Digital Experience

Areas of interest:
AI
Machine Learning
Data Mining
Digital Strategy
E-Business Development
E-Commerce
Internet of Behaviors (IoB)
User Behavior

EurAI Fellow

also: Visiting Scholar, Bibliotheca Hertziana – Max Planck Institute for Art History, Rome, Italy

Co-founder, CEO and CTO of ELSE Corp, a Virtual Retail and 3D Commerce company.
Book Author “Искусственный интеллект для моды” (Artificial Intelligence for Fashion).

I am a Business Transformation and Technology Innovation professional, in the past a R&D manager, contract professor, and a strategy consultant, specialized in the development and launch of innovative DeepTech products and services, mainly Cloud Computing and Artificial Intelligence.
As of technology entrepreneur since 2010, my best expertise lays in the field of Fashion/Luxury Retail and Manufacturing.

Since 2014 I am the co-founder and CEO of ELSE Corp, a startup that is developing a “Real-Time Fashion” approach called “Virtual Couture Fashion”, which is a new business model and a set of technologies, including those for AI-Assisted Design and AI Driven Customer Experience, for an end-to-end Digital Transformation of the supply chains in the fashion sector. ELSE’s mission is to enable MASS CUSTOMIZED design and retailing for fashion brands, process which then leads to the HYBRID (ON DEMAND) manufacturing model, at the end driving the industry towards a true SUSTAINABLE fashion model, which is REAL-TIME and DIGITAL.
http://www.else-corp.com
http://www.virtual-couture.org

– Member of the European AI Alliance @ European Commission
– 3D Footwear expert @ 3D Body Processing Working Group (3DBP), IEEE-SA
– Expert @ Fashion Tech cluster, The Russian Association for Electronic Communications (RAEC)
– Advisor @ Fashion Technology Accelerator (FTA Milan)
– Chairman @inTAIL 2018, AI Driven & Intelligent Retail
– IEEE Member since 2004

EurAI Fellow

I hold a M.Sc. degree in Computer Science from Saarland University, Germany. I hold a B.Sc. degree in Electronics & Communication Engineering from Ain Shams University, Egypt.
I currently work as a researcher in applied machine learning at DFKI and I previously worked as a research assistant for 1.5 years at HCI group, Saarland University. I also worked for two years as a senior optimization Engineer at Vodafone Egypt.
My research and work interest is HCI (Human Computer Interaction), Multimodal Interaction, Computer Vision, Machine Learning, Deep learning, Embedded systems and Security, Electronics and Telecommunication.

c/ Tanger
122-140, 55.219

Roberto Gómez-Espinosa holds an Industrial Electronics and Automation Engineering Master Degree from Polytechnic University of Madrid and several specializations in artificial intelligence technologies: “Deep Learning Specialization by Andrew Ng (Stanford CS230 Course)”, “Deep Learning NanoDegree by Udacity”, “Self Driving Car Engineer by Udacity”, “Professional Program Certificate in Data Science by Microsoft”, “Machine Learning Specialization by the University of Washington,” “Big Data Specialization by University of California San Diego” , “Machine Learning by Stanford Online University”.

María Teresa Gómez is Lecturer at the University of Seville and the head of the IDEA Research Group. Her research areas include the use of AI to improve Business Processes and Data management, and the things that disturb his thoughts are how to improve the business process models including better decisions and enriching the model with Data Perspectives using Constraint Programming techniques. She has led several private and public research projects and has published several impact papers, among others in Information and Software Technology, Information Systems, Information & Software Technology, or Data & Knowledge Engineering. She was nominated as a member of Program Committees, such as IEEE CBI 19, DEC2H 19, ER 18, DeHMiMoP 18, BPM 2017, ISD 2017, ICIQ 2016, PHM 2016, IAwDQ 2013 or CLEIS 2012. She has been reviewing for international journals, such as International Journal of Data and Information Quality, Journal of Systems and Software, Artificial Intelligence in Medicine; Business & Information Systems Engineering Journal or Information Science. She has given keynotes or was invited speaker at the IV Workshop on Data & Artifact Centric BPM in Innsbruck, 5th International Workshop on Decision Mining & Modeling for Business Processes BPM in Barcelona, the X National Conference of BPM in Madrid, in the 28th IBIMA Conference, and in the biannual International Summer School on Fault Diagnosis of Complex Systems.

International Rough Set Society member, Polish Artificial Intelligence Society member

Scientific chairman of the Red ALTER-NATIVA, Member of: The .LRN consortium board of directors, Counsellor at the UNED’s Centre for Supporting Students with Disabilities (UNIDIS)

– Director fo the Centre for Information and Communications Technology Research.
– Coordinator of the Artificial Vision Goup fo the UDC.
– Coordinator of the Galician Artificial Intelligence DIH.

Carr. Lago de Guadalupe km 3.5
Posgrados en Ciencias Computacionales

Co-author of ‘The Rise of Machine Learning in the Enterprise’
Co-author of ‘The New Wave: A Guide To Successful Surfing’ – How do you build and hold on to a job or a career in the enhanced workplace of the future when you’re competing for promotion with an intelligent machine?

BIO
Jurgen Goossens is Associate Professor of Constitutional and Administrative Law at Tilburg University. He is leader of the interdisciplinary NWO-MVI CHAIN project: ‘Blockchain in the network society: transparency, trust and legitimacy by design’ (2020-2024).

Before, he was Assistant Professor of Constitutional Law at Erasmus University of Rotterdam and Postdoctoral Research Fellow at Ghent University. Goossens holds an LL.M. degree from Yale Law School.

His research agenda focuses on constitutional resilience in our hyper-complex and hyper-connected society. He primarily researches the ability of constitutional values, principles, and procedures to cope with the challenges, transformations and threats that come with the increased use of algorithms in administrative decision-making processes and digital network governance. Goossens also regularly embarks on legal educational innovation endeavors .

EXPERTISE
Jurgen’s research agenda includes the identification, design and implementation of the conditions and mechanisms that contribute to constitutional resilience of the legal order to cope with transformations and threats in our hyper-complex and hyper-connected society.

Currently, he focuses on the ability of constitutional values, principles, and procedures to cope with the challenges, transformations and threats that come with the increased use of algorithms in administrative decision-making processes and digital network governance. Goossens pays particular attention to the relation between citizens and public bodies.

EurAI, IEEE, and IAPR fellow

EurAI Fellow

Director, Centre for Artificial Intelligence Research (CAIR)

Representing start-up involvement in the design of regulatory enviornment

Formerly affiliated to University of Torino, INFN Torino and CERN. Owner of a Ph.D. in Experimental Particle Physics. Two years spent as a post-doc researcher at Universidad de Cantabria.

natural language processing, information retrieval

Currently supervising PhDs in the areas of Game Theory and Evolutionary Computation.
Have supervised MSc theses in the areas of Social Media, Sentiment Analysis and Politeness and Personality detection.

My research interests are in the areas of Collaborative Filtering, Recommendation, Sentiment Analysis and Social Media, Linguistics and Evolutionary Game Theory.

EurAI Fellow

Zahia Guessoum is “Maître de Conférences” (Associate Professor). She received her doctorship/PhD (1996) and then her “habilitation à diriger des recherches” (2003), both in computer science and from University Pierre & Marie Curie (Paris 6), France. She is member of the Multi-Agent System (MAS) Team of “Laboratoire d’Informatique de Paris 6” (LIP6). Her general research interests are about adaptive agents and multi-agent systems, fault-tolerant MAS, multi-agent oriented software engineering, coordination mechanisms, multi-agent simulation and complex systems.

EurAI Fellow

We are the Nordic Leading AI company. I am overlooking all AI strategic and executive activities at Tieto – top 100 IT company (according to reuters). 15000 global employees.

Insurgentes Sur 1685

Artificial Intelligence (AI) Expertise
AI Expertise: Standards
ISO SC42 Artificial Intelligence: KERA, OKER, etc.
IEEE Std 1872.2-2021 Autonomous Robotics (AuR) Ontology
AI Expertise: Projects
ACCRA project (robotics for Ageing). Knowledge Engineering Framework for IoT Robotics Applied to Smart Healthcare and Emotional Well-Being. Amelie Gyrard, Kasia Tabeau, Laura Fiorini, Antonio Kung, Eloise Senges, Marleen De Mul, Francesco Giuliani, Delphine Lefebvre, Hiroshi Hoshino, Isabelle Fabbricotti, Daniele Sancarlo, Grazia D’Onofrio, Filippo Cavallo, Denis Guiot, Estibaliz Arzoz-Fernandez, Yasuo Okabe, Masahiko Tsukamoto. International Journal of Social Robotics 2021. Springer Nature. Special Issue “Behavioral Model for Robot based on brain-inspired AI Cognitive Architecture”. Impact factor: 5.126 in 2020
AI4EU project (via open call). Knowledge Extraction for the Web of Things (KE4WoT) Challenge Owner and ontology catalog for IoT
Designer of the Linked Open Reasoning: http://linkedopenreasoning.appspot.com/
AI Expertise: Ontology-based Reasoning, Semantic Reasoning, etc.
Book Chapter: Reasoning Over Personalized Healthcare Knowledge Graph: A Case Study of Patients with Allergies and Symptoms. Amelie Gyrard, Utkarshani Jaimini, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, and Amit Sheth. Elsevier Book: Semantic Models in IoT and e-Health Applications 2022.
SAREF-Compliant Knowledge Discovery for Semantic Energy and Grid Interoperability. Amelie Gyrard, Antonio Kung, Olivier Genest, Alain Moreau. IEEE World Forum on Internet of Things (WF-IoT 2021).
Book Chapter: A Review of Tools for IoT Semantics and Data Streaming Analytics. Martin Serrano and Amelie Gyrard. Book: The Building Blocks of IoT Analytics – Internet-of-Things Analytics. 2016
Sensor-based Linked Open Rules (S-LOR): An Automated Rule Discovery Approach for IoT Applications and its use in Smart Cities. Amelie Gyrard, Martin Serrano, Soumya Kanti Datta, Joao Bosco Jares, Muhammad Intizar Ali. International ACM Smart City Workshop (AW4city) in conjunction with International World Wide Web Conference (WWW 2017).
Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications Muhammad Intizar Ali, Pankesh Patel, Soumya Kanti Datta, Amelie Gyrard. International Workshop on Very Large Internet of Things (VLIoT 2017) in conjunction with 43rd International Conference on Very Large Data Bases (VLDB 2017), August 28 – September 1 2017, Munich, Germany. Published within the Open Journal of Internet of Things (OJIOT). Research Online Publisher (RonPub). VLDB is ranked as A* conference according to Core conference Portal
Demo paper: Helping IoT application developers with Sensor-based Linked Open Rules. Amelie Gyrard, Christian Bonnet and Karima Boudaoud. International Workshop on Semantic Sensor Networks, in conjunction with the International Semantic Web Conference (ISWC 2014).
AI Expertise: Scientific event coordination/organizer
Scientific event coordination/organizer: Web Intelligence 2019 Demo Track, Applications of Knowledge Representation and Semantic Technologies in Robotics (AnSWeR19) workshop co-located with IROS 2019 (IEEE/RSJ International Conference on Intelligent Robots and Systems) (A Conference), SmartIoT Workshop at Association for the Advancement of Artificial Intelligence (AAAI) 2018, Knowledge Extraction for Web of Things (KE4WoT) Challenge at WWW 2018.

I am currently working on my PhD at the Doctoral School of Regional- and Business Administration Sciences of Széchenyi István University of Győr in Hungary. My research work is supported by Cooperative Doctoral Programme of the National Research, Development and Innovation Office of Hungary.

Applied data science with machine learning, neural networks, genetic algorithms

President Big Data Value Assoc.
VP OPC Foundation
Chairman Labs Network Industrie 4.0
Member SteCo Plattform Industrie 4.0

Founding Trustee of the FLOC Conferences
Editorial Board Journal of Automated Reasoning

Professor of Computational Linguistics, vice-director of Institute, Chair of META-NET Executive Board (http://www.meta-net.eu)

My google scholar profile is here
https://scholar.google.com/citations?user=1d3OxaUAAAAJ&hl=en

Alan Turing Fellow

Senior Fellow ‘Institut Universitaire de France’

Director of Amsterdam Data Science; Past President Informatics Europe

EurAI Fellow, member of Royal Dutch Academy of Sciences, member of Academia Europaea

Artificial Intelligence Theme Leader for Scottish Informatics and Computer Science Alliance, Editor-in-Chief Evolutionary Computation

I am a seasoned PhD researcher with extensive experience in project management and a specialization in the applications of AI in UAVs. I am deeply passionate about exploring the ethical dimensions of AI, particularly in relation to UAV technology.

EuRAI Fellow – IEEE Fellow – IAPR Fellow – Former President of AFIA, French Association of AI

Associate Editor-in-Chief of International Journal on AI Tools

IJCAI Computers and Thought Award; ERC Starting Grant; ERC Consolidator Grant

Since 2000, Dr. Henesey has been researching on the application of Distributed Artificial Intelligence in Container Ports and Terminals, which has culminated into 60+ published articles and two books. In addition to lecturing at several US and European Universities, Dr. Henesey is a member of the board of advisors at the Port Operations Research and Technology Centre at Imperial College London. Dr. Henesey posseses 27 years of industrial work experience while employed with companies such as: Evergreen, Sea Land, TTS Port Equipment, Conductix-Wampfler AG, Vahle GmbH, SIMPORT AB.

Dr. Henesey assists in the development of solutions for energy and data transmission needs in ports and container terminals globally. Dr. Henesey has worked with clients on employing automation and electrification technologies such as AGVs, ASCs, Automated cranes, RTGs and RMGs.

Dr. Henesey earned his PhD in Computer Science from Blekinge Institute of Technology, Sweden. Additional degrees are: MSc (Cum-Laude) in Transport and Maritime Management from the University of Antwerp, Belgium and degrees from Old Dominion University, Virginia, USA.

Member of the following organisations: Port Equipment Manufacturers Association (PEMA), Swedish Artificial Intelligence Society (SAIS), and Association of Computer Machinery (ACM).

PhD Computer Science (Artificial Intelligence)
PMP certified (Project Management Institute)
Research interests: Explainable Artificial Intelligence; Argumentation; Multi-Agent Systems; Persuasion Technologies; Educational Recommender Systems

AI in Telecommunications (5G/6G) and Computer Vision (Light Field Analysis)

EurAI Fellow

Member of Academia Europaea
ERC Advanced Grantee
h-index 51

Member Academia Europaea, National Prize in Mathematics and Information Science and Technology, Aritmel Computer Society National Prize, Founding Director IMDEA Software Institute, President INRIA Scientific Board, Member Dagstuhl Scientific Board, Former General Director of the Spanish scientific research funding agency

Machine Learning, Deep Learning, AI, Cognitive Computing

– Marie-Curie Individual Fellow for Experienced Researchers (completed, QMUL, London)

– Current position, lab leader in Singapore, but would like to be affiliated with Europe AI movement.

– Senior member IEEE

EurAI Fellow

Critical infrastructures, smart and resilient cities.

Promotion bei Wolfgang Bibel 1996

EurAI Fellow

EuRAI Fellow

– PI of the ERC ADG COHUBICOL: ‘Counting as a human being in the era of computational law’
– Co-founder of the Journal for Cross-Disciiplinary Research in Computational Law www.journalcrcl.org
– author of OA publication: Law for Computer Scientists and Other Folk (Oxford University Press): https://academic.oup.com/book/33735
– Co-Director of the VUB Research Group on Law Science Technology and Society studies
= In the Hall of Fame of Women in AI Ethics: https://womeninaiethics.org/the-list/hall-of-fame/

SURREY INSTITUTE FOR PEOPLE-CENTRED ARTIFICIAL INTELLIGENCE

Putting people at the heart of AI

Our pan-university institute brings together Surrey’s core AI-related expertise in vision, speech and signal processing, computer science, and mathematics, with its domain expertise across engineering and physical sciences, human and animal health, law and regulation, business, finance and the social sciences.

To whom it may concern,
My names is Prof. Dr. Thomas Hoeren and I am a law professor at the University of Muenster, Germany, and head of the Institute for Information, Telecommunications and Media Law.

For almost 25 years, I have been a professor of IT law with a special focus on the legal issues of blockchain, algorithms and AI. Thus, I have already supervised several interdisciplinary projects in this area (e.g. “GOAL-Governance of and by Algorithms”, “Blockchain and Law”, and “Assessing Big Data -ABIDA” . In addition, I am an adjunct professor at the Fraunhofer Institute for Applied Information Technology (FIT).

In the past, I also served as an international visiting scholar at the University of Amsterdam (Institute for Information Law), Kyushu University (Fukuoka/Japan), Harvard Law School (Boston), Stanford University, and Oxford Internet Institute/Balliol College, among others. These programs have allowed me to focus on international contexts and differences when considering IT law and the legal assessment of artificial intelligence.

I am co-editor of several renowned journals in the field of IT law, such as “Multimedia und Recht” (C.H.Beck), “International Journal of Law and Information Technology” (Oxford University Press) and the “Zeitschrift für Datenschutz” (C.H.Beck). All of these journals focus on the interaction of technological progress and the shaping of law. The discussion of artificial intelligence is also comprehensively addressed here. In addition, my research team and I are regularly publish on IT legal topics in renown law journals.

So far, this commitment has been honored, among other things, with the award “for German-Dutch scientific cooperation” (2018), the award of the “Daidalos-Silbermünze der Studienstiftung des deutschen Volkes” (2018) and honor with the ALCATEL-SEL Research Award „Technische Kommunikation“ (2005).

I would like to contribute my professional expertise to your research network and at the same time participate in the innovative ideas of the numerous members. In addition, I would like to join the research network with the Institute for Information, Telecommunications and Media Law in order to be able to contribute our competences even more comprehensively and profitably to the research network.

Best regards,
Thomas Hoeren

siehe meine Profile

Austrian Representative in IFIP TC 12 AI

AAAI Fellow

EurAI Fellow

Knowledge-based Configuration
High-level Computer Vision
Machine Learning

computer vision, autonomous driving, driver assistance, deep learning, generative adversarial networks

Area of interest: AI application in fluid simulation and pattern recognition.

10 years of industry experierence
Professor teaching AI
80+ publications in AI and related topics

http://www.lai4d.org/

As a professor at a business school I am learning, teaching and studying AI and Work & organization. I am spearheading the Dutch VSNU Digital Society agenda on work and Organization

PhD from Universidad Politécnica de Madrid. Expertise in multiagent systems, natural language processing, sentiment and emotion analysis, and linked data technologies.

In the last 13 years:
* 47 Funded research projects
* Coordinator in 16 of them
* More than 13 million euros in funding
* Numerous paper awards
* Yearly participation in the Program Committees of top conferences

He coordinates the Research Center CAMPUS and the Multimedia Lab. He holds a double PhD in image/video processing from UPB and University of Savoie, France. He has authored over 170 scientific publications (e.g., with Springer UMUAI IF 3.4, ACM CSUR IF 6.1, Elsevier CVIU IF 2.6, Elsevier IMAVIS IF 2.7, IEEE TCSVT IF 4). He serves/served as: reviewer for several journals (e.g., IEEE TPAMI, IEEE TIP, IEEE TM, IEEE TCSVT, IEEE SPL, IEEE TAC); lead editor for a Springer ACVPR book; lead guest editor for special issues with Springer IJCV (IF 6), Elsevier IMAVIS (IF 2.7), Springer MTAP (IF 2.1); technical programme committee (e.g., EUSIPCO, ACM MM, ACM ICMR, ACM MMSys, IEEE ICME); conference committee chair (e.g., area chair ACM Multimedia, general chair IEEE/ACM CBMI 2016, ACM ICMR 2017, CLEF 2021); organizer of workshops: “Information Fusion in Computer Vision for Concept Recognition” at ECCV 2012, “Event-based Media Integration and Processing” at ACM MM 2013, “Human-Centered Event Understanding from Multimedia” at ACM MM 2014 & 2015; lead organizer/co-organizer for several benchmarking campaigns (e.g., MediaEval Retrieving Diverse Social Images, Violent Scenes Detection, Predicting Media Interestingness/Memorability, ImageCLEF 2017-2020). He contributed to over 23 Romanian/EU funded research and strategic programmes (e.g., principal investigator for UEFISCDI SPIA-VA SOL 2.2M Eur, UEFISCDI SPOTTER PED 140k Eur, Erasmus+ UMETECH 900k Eur, ESF CAMPUS POS-CCE 14M Eur) and industry projects (e.g., beneficiaries Hana Institute of Technology, Republic of Korea, NXP Semiconductors Romania). He is a senior member of IEEE and a member of SPIE, ACM, EURASIP and technical program expert for the Horizon 2020 Programme.

Vice-Rector

Cognitive Science

Google Scholar: https://scholar.google.de/citations?user=FY3AIUsAAAAJ

LTSI, Inserm UMR 1099 – Université de Rennes 1
Equipe MediCIS
Faculté de Médecine 2, Avenue du Pr. Léon Bernard

Academic Program Director Computer Science

In addition to my work in AI and IoT, I am also associated with UPM(University of Madrid) and the Harvard Kennedy school for future of AI. My current research work in AI relates to Affective Computing. I have a Bachelors in Engineering(Uni Bombay); Masters in Information systems(Uni Salford); PhD(ongoing – TBC 2019) in AI with Uni Madrid

CB, FREng, EurAI Fellow, Vice-Provost

I am currently an Associate Professor (Maitre de conférences) at the Engineering School Polytech Nancy,
and associated to research lab: Centre de Recherche en Automatique de Nancy (CRAN) at Université of Lorraine, France since 2018.
I received his MSc. Degree in 2012 and Ph. D degree in Automatic control and Signal Processing in 2015 from Ecole Centrale de Lille, France.
Between 2015 and 2017 I pursued my post-doctoral studies at INSA Toulouse, France and Rolls Royce Technology Centre at University of Sheffield, United Kingdom.
My current research interests include hybrid prognostics, adaptive dynamic programming, reinforcement learning and deep neural networks.

Augmented Intelligence that helps every human thrive and survive

Mission:
Create a privacy-first “Personal Digital Twin” empowering humans.

Spearheading a new era of abundance.
Powered by exponential technologies.

Idea stage:
http://hos.ai
(Human Operating System)

?????? M: +47-91541900

IAPR Fellow

Dr. Richard Jiang is currently a Senior Lecturer (Associate Professor) in the School of Computing & Communications at Lancaster University, UK. Previously, he was a senior lecturer (2013-2019) in the Department of Computer Science and Digital Technologies at Northumbria University, Newcastle, UK. He is a Fellow of HEA, an Associate Member of EPSRC College, and a recognized EPSRC RISE Connector.

Dr Jiang’s research interest mainly resides in the fields of Biometrics, Privacy & Security, Intelligent Systems, and Biomedical Image Analysis. His recent research has been supported by grants from Qatar National Research Fund (NPRP No.8–140-2–065), EPSRC (EP/P009727/1), Leverhulme Trust (RF-2019-492) and other industry/international funders. He has supervised and co-supervised over 10 PhD students.He authored over 60 publications and is the lead editor of three Springer books. He served as TPC member and the reviewer for various conferences and journals.

Since 2017 Sergio Jiménez Celorrio is a Ramón y Cajal fellow at the Universitat Politècnica de València. Previously, Sergio was a post-doc at the University of Melbourne and a Juan de la Cierva fellow at the Universitat Pompeu Fabra de Barcelona. From 2004 to 2013 Sergio was assistant lecturer at the Universidad Carlos III de Madrid where he obtained the Distinguished Thesis Award 2011. Sergio is the recipient of the IJCAI 2016 distinguished paper award, co-organizer of the 7th International Planning Competition and program committee at several international conferences on Artificial Intelligence. His main research interests are program synthesis and the exploration of the synergies between automated planning and machine learning.

IEEE Fellow, Editor-in-Chief of IEEE Transactions on Cognitive and Developmental Systems

EurAI Fellow

Head of LIAAD, the AI lab of INESC TEC. Head of the Department of Computer Science of the University of Porto. Coordinator of the Portuguese AI Strategy. Vice-president of APPIA, the Portuguese Ai Society, from 2000 to 2005. Areas of work: Machine Learning, Data Mining, Recommender Systems, Information Extraction.