Invited Speakers

Prof. Witold Pedrycz
University of Alberta, Edmonton, Canada

IEEE Life Fellow

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.
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 J. of Data Information and Management (Springer).

Prof. Tao Cheng
University College London, UK

Tao Cheng (HDR, PhD, FRGS, FICE, CEng) is a Professor of Geoinformatics in the Department of Civil, Environmental, and Geomatics Engineering at University College London (UCL). She serves as the Theme Lead for Mobility at the Alan Turing Institute and is a member of the College of Experts (CoE) for the Department for Transport, UK. She is also the Founder and Director of UCL SpaceTimeLab (www.ucl.ac.uk/spacetimelab), a world-leading research center that leverages SpaceTimeAI to gain actionable insights and foresights from spatio-temporal data for government, business, and society.
Her research interests span AI and Big Data, network complexity, and urban analytics with applications in transport and mobility, safety and security, business intelligence, and natural hazards prevention. She has secured more than £25M in research grants in the UK and EU, collaborating with government and industrial partners in the UK, including Transport for London, the London Metropolitan Police Service, Public Health England, and Arup, among others. She has published over 300 research articles and received numerous international best paper awards. Please refer to https://profiles.ucl.ac.uk/10774 for further details.

Assoc. Prof. Cheng Siong Lee (Vincent)
Monash University, Australia

Vincent CS Lee is currently an Associate Professor (top Level D professorial), whichis equivalent to "Full Professor of North America Academic Scheme" with the Department of Data Science and Artificial Intelligence, Faculty of IT, Monash University in Melbourne, Australia. Lee earned PhD degree from The University of Newcastle, NSW in Australia, Bachelor and Master degrees in EEE, both from the National University of Singapore; MBA from Henley Management College in Oxford, Brunel University, England; BBus (Hons 1st class in Economics & Finance) and MBus (Accountancy), both from RMIT University in Melbourne. He is an elected Fellow of The Institute of Engineers, Australia (FIEAust), a Senior Member of IEEE (USA). Recipient of 2016 Monash University’s Dean of IT excellence in Postgraduate Supervision. His research fields are Automated Machine Learning; Generative AI; Multimodal ChatGPT; Signal and Information Processing; Climate Financial Systems; and Educational Data Mining.