Prof. Witold Pedrycz

University of Alberta, Canada

IEEE Life Fellow

Biography : Witold Pedrycz (IEEE Life Fellow) is Professor in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a foreign member of the Polish Academy of Sciences and a Fellow of the Royal Society of Canada. He is a recipient of several awards including Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society.
His main research directions involve Computational Intelligence, Granular Computing, and Machine Learning, among others.
Professor Pedrycz serves as an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer).

Prof. Yi-Cheng Zhang

University of Fribourg, Fribourg, Switzerland

Member of The Academy of Europe (Academia Europaea)

Biography: Professor Yi-Cheng Zhang is a senior professor at the University of Fribourg in Switzerland. He is a member of the First Academic Committee of Alibaba Research Institute, and an expert of the China Information Society 50 People Forum. He has published more than 250 papers in top international journals such as RPL, PNAS, and Physics Reports, and have been cited over 32,000 times on Google Scholar, with an h-index of 65. He has authored four academic books published by Oxford University Press and has undertaken multiple international projects under the European Union's 7th Framework Programme. His major academic contribution includes the famous KPZ (Kardar-Parisi-Zhang) equation, which is one of the three major works for which his mentor, Professor Giorgio Parisi, was awarded the Nobel Prize in Physics in 2021. The Austrian mathematician Martin Haire also received the Fields Medal in 2014 for his outstanding contributions to the solution of the KPZ equation. In addition, Professor Zhang has made pioneering and foundational contributions in various fields of information sciences and complex sciences, such as Minority Game, Econophysics, and Information Physics. His research achievements have not only had a wide academic impact internationally but have also been widely applied in industries. He is one of the few top scientists who have made significant contributions in both the academic and industrial sectors.

Prof. TAN Kay Chen

The Hong Kong Polytechnic University, Hong Kong SAR, China

IEEE Fellow

Speech Title: Advances in Evolutionary Transfer Optimisation and Applications

Abstract: It is known that the learning processes and the transfer of what has been learned are central to human problem-solving. However, the study of optimization methodology that learns from the problem solved and transfers what has been learned to help problem-solving on unseen problems, has been under-explored in the context of evolutionary computation. This talk will introduce some of our recent work in evolutionary transfer optimization (ETO), which applies knowledge learning and transfer across problems for enhanced evolutionary optimization performance. It will highlight the challenges of solving complex optimization problems and our attempts to tackle various problems, e.g., large-scale, many-objective, and multitasking problems. Some discussions on future research directions will also be given.

Biography:Kay Chen Tan is a Chair Professor (Computational Intelligence) of the Department of Computing, The Hong Kong Polytechnic University. He has co-authored 9 books and published over 300 peer-reviewed journal articles. Prof. Tan serves as the Vice-President (Publications) of the IEEE Computational Intelligence Society, USA, from 2021-2024. He was the Editor-in-Chief of IEEE Transactions on Evolutionary Computation from 2015-2020 and IEEE Computational Intelligence Magazine from 2010-2013. Prof. Tan is an IEEE Fellow and an Honorary Professor at the University of Nottingham in the UK. He is also the Chief Co-Editor of the Springer Book Series on Machine Learning: Foundations, Methodologies, and Applications.

Prof. Huiyu Zhou

School of Computing and Mathematical Sciences, University of Leicester, UK

Speech Title: Towards uncertainty in learning and modelling

Abstract: There are many questions to answer in image interpretation and understanding. Uncertainty in image analysis needs strong and powerful modelling tools to describe the objects in the images. Artificial intelligence (AI) plays a very important role in the design of a robust tool for image representation. Using some examples from his own work on uncertainty analysis, Prof. Zhou will explore how AI can stimulate new concepts or development of dealing with complicated problems and lead us to novel adventures through these applications.

Biography:Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 500 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry. Homepage:

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