Keynote Lectures

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Brief Bio
Hani Hagras is a Professor of Artificial Intelligence, Director of Impact, Director of the Computational Intelligence Centre and Head of the Artificial Intelligence Research Group, in the School of Computer Science and Electronic Engineering, University of Essex, UK. He is a Fellow of Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Institution of Engineering and Technology (IET), Principal Fellow of the UK Higher Education Academy (PFHEA) and Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) His main research interests are in Explainable Artificial Intelligence (XAI) and Data Science with applications to Finance, Cyber Physical Systems, Neuroscience, Life Sciences, Uncertainty Management, Intelligent Robotics and Intelligent Control of Industrial Processes. He has authored more than 400 papers in international journals, conferences and books. He is amongst the top 2% of the most-cited scientists in the World (Scopus August 2021). His work received funding from major research councils and industry. He holds eleven industrial patents in the field of Explainable AI. His research has won numerous prestigious international awards where he was awarded by the IEEE Computational Intelligence Society (CIS), the 2010 Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems and the 2004 Outstanding Paper Award in the IEEE Transactions on Fuzzy Systems. He was also awarded the 2015 and 2017 Global Telecommunications Business award for his joint project with British Telecom. In 2016, he was elected as Distinguished Lecturer by the IEEE Computational Intelligence Society. His work has also won best paper awards in several leading international conferences including the 2014 and 2006 IEEE International Conference on Fuzzy Systems, the 2012 UK Workshop on Computational Intelligence and the 2016 International Conference of the BCS SGAI International Conference on Artificial Intelligence. He was awarded by the IEEE Computational Intelligence Society (CIS) the 2011 IEEE CIS Outstanding Chapter Award. In 2017, he was awarded by the University of Essex, the 2017 best Research impact award for his work with British Telecom. He acted as the Principal Investigator for a project which was awarded by the UK Technology Strategy Board, the 2011 UK Best Knowledge Transfer Partnership for London and the East Region. He also acted as the Principal Investigator for a project which was awarded the 2009 Lord Stafford Achievement in Innovation Award for East of England. In 2010, he Led a Research Students team to win the First place in the RoboCup 2010. In 2007, he was Shortlisted by the Times Higher Education supplement (THES) for the UK Young researcher of the year award. He is Associate Editor of many journals including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Artificial Intelligence, Knowledge Based Systems, Cognitive Computations and others. He served as the General and Programme Chair of numerous major international conferences where he served as the General co-Chair of the 2007 IEEE International Conference on Fuzzy Systems, and Programme Chair of the 2021 and 2017 IEEE International Conference on Fuzzy Systems as well as many other conferences

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Brief Bio
Anastasios Tefas  received the B.Sc. in informatics in 1997 and the Ph.D. degree in informatics in 2002, both from the Aristotle University of Thessaloniki, Greece. Since 2022 he has been a Professor at the Department of Informatics, Aristotle University of Thessaloniki. From 2008 to 2022, he was a Lecturer, Assistant Professor, Associate Professor at the same University. Prof. Tefas participated in 20 research projects financed by national and European funds. He is the Coordinator of the H2020 project OpenDR, “Open Deep Learning Toolkit for Robotics”. He is Area Editor in Signal Processing: Image Communications journal. He has co-authored 150 journal papers, 280 papers in international conferences and contributed 17 chapters to edited books in his area of expertise. He has co-organized more than 15 workshops, tutorials, special sessions and special issues and has given more than 20 invited talks. He has co-edited the book “Deep Learning for Robot Perception and Cognition”, Elsevier, 2022. Over 9600 citations have been recorded to his publications and his H-index is 48 according to Google scholar. His current research interests include computational intelligence, deep learning, pattern recognition, machine learning, digital signal and image analysis and retrieval, computer vision and robotics.