Keynote Speakers

 

Prof. Jonathan Garibaldi
University of Nottingham, UK

Title: Emerging Topics in Fuzzy AI
Abstract: Fuzzy sets and systems are a mature technology, now in existence for almost 60 years, and one of the three main pillars of Computational Intelligence. Whilst fuzzy sets and systems have made significant impact in CI over the years, recently there has been a relative decline in interest, with (particularly) Deep Learning and Large Language Models receiving huge attention worldwide and largely dominating AI research. In this talk, I will argue that fuzzy-based research still has an important role to play in the future of AI. As such, I will identify and discuss some emerging topics in fuzzy systems which I suggest are interesting and potentially valuable areas of future research focus.

Bio: Prof. Jon Garibaldi is currently the Provost of the University of Nottingham Ningbo China, and a member of the University of Nottingham Executive Board (UEB). His main research interest is in modelling human reasoning in uncertain environments, with a particular emphasis on the medical domain. He has published over 300 papers, and has participated in multi-disciplinary research projects worth over £80M [750M RMB]. He is a Fellow of the IEEE, was the Editor-in-Chief of IEEE Transactions on Fuzzy Systems from Jan 2017 to Dec 2022, and is currently a member of the IEEE CIS Administrative Committee.

Prof. Grigoris Antoniou
Leeds Beckett University, UK

Title: AI for mental health diagnostics
Abstract: In this talk we cover work on using AI as a clinical decision support tool for mental health conditions, with a focus on adult ADHD and suicide risk assessment. These works are done collaboratively with the one of UK's NHS Trusts and have resulted in developing new technological solutions. In addition, we also review the development and potential use of domain-specific ontologies and discuss potential uses of Large Language Models.

Bio: Grigoris Antoniou is Professor of AI at Leeds Beckett University and Visiting Professor at the L3S Research Centre in Germany. His research interests lie in semantic technologies, particularly knowledge representation and reasoning and semantics for big data, and its application to health, law and smart cities. He has published over 200 technical papers in scientific journals and conferences. His research has attracted over 15,000 citations. He is member of editorial boards of journals including Artificial Intelligence Journal. He is Fellow of IEEE, Fellow of the European Association for Artificial Intelligence and Fellow of the Asia-Pacific AI Association.

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