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.

Senior Assoc. Prof. Jionglong Su
Xi'an Jiaotong-Liverpool University (XJTLU), China

Dr Jionglong Su is the director of Education and R&D Institute, School of AI and Advanced Computing. He is concurrently the Taicang School Programme Leader in BEng Data Science and Big Data Technology. He holds a PhD in Statistics (Warwick) and a PhD in Automatic Control and Systems Engineering (Sheffield). Before joining XJTLU, he worked for Warwick University, University College London and Nazarbayev University where he was the Maths Head. Dr Jionglong Su has held several key appointments in the Department of Mathematical Sciences, such as the Group Head in Undergraduate Studies and the Programme Director in Financial Mathematics. His research interests include bioinformatics, artificial intelligence, portfolio management and medical image processing. He is the principal investigator and research collaborator in several interdisciplinary research funded by the National Nature Science Foundation of China and State Key Laboratory of Software Architecture, with more than 4.5 million RMB in grant. Dr Jionglong Su actively participates in the university iLead teaching programmes as an instructor for Chinese universities teachers. He was the recipient of the 2017 XJTLU Outstanding Teacher Award. He received the Excellent Advisor Award in the 4th XJTLU Research-Led Learning Competition.

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.

Assoc. Prof. Michele Melchiori
University of Brescia, Italy

Michele Melchiori is an Associate Professor at the Department of Information Engineering, University of Brescia, where he has been conducting research and teaching activities since 1998. He earned a Ph.D. in Information Engineering from the University of Brescia and a Master's Degree in Computer Science from the University of Milan, Italy.
His research interests include semantic-based technologies, data-driven approaches, information systems, blockchain, web services, and emerging applications such as LLM-RAG for service-based architectures, and data integration. He has worked on various funded competitive research projects in these areas.
He has been part of over 100 program committees of international computer science conferences and has also been involved in the organization of some international conferences. He serves on the editorial board of the Big Data and Cognitive Computing Journal and has been a member of the steering/advisory committees for international conferences on data mining and data semantics.
He co-authored the Best Paper at the 25th International Conference on Advanced Information Systems Engineering (CAiSE 2013) and the Best Paper at the 2nd EAI International Conference on ICT Infrastructures and Services for Smart Cities (IISSC 2017). Additionally, he has been active in industry dissemination, moderating panel discussions on blockchain and cybersecurity.
A partial list of publications can be found here http://tinyurl.com/mm-publications.

Dr. Armstrong Aboah
North Dakota State University, USA

I am an Assistant Professor at the North Dakota State University. An ingenious and resourceful Transportation Data Scientist with a proven track record of success in research and hands-on experience developing cutting-edge database solutions, statistical modeling, data products, and computer vision systems aimed at improving transportation system management and operations. Has worked as an architect and application developer on a variety of projects that required the use of data mining and machine learning models to solve large-scale, complex, and difficult transportation problems.
I'm broadly interested in computer vision and machine learning. My research involves visual reasoning, vision and language, image generation, air taxis, naturalistic studies, and autonomous vehicles.