Keynote Speaker I

Prof. Witold Pedrycz, University of Alberta, 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, 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).

 

 

Keynote Speaker II

Prof. Qing Li, The Hong Kong Polytechnic University, Hong Kong, China (IEEE Fellow)

Qing Li is currently a Chair Professor (Data Science) and the Head of the Department of Computing, the Hong Kong Polytechnic University. Formerly, he was the founding Director of the Multimedia software Engineering Research Centre (MERC), and a Professor at City University of Hong Kong where he worked in the Department of Computer Science from 1998 to 2018. Prior to these, he has also taught at the Hong Kong University of Science and Technology and the Australian National University (Canberra, Australia). Prof. Li served as a consultant to Microsoft Research Asia (Beijing, China), Motorola Global Computing and Telecommunications Division (Tianjin Regional Operations Center), and the Division of Information Technology, Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia. He has been an Adjunct Professor of the University of Science and Technology of China (USTC) and the Wuhan University, and a Guest Professor of the Hunan University (Changsha, China) where he got his BEng. degree from the Department of Computer Science in 1982. He is also a Guest Professor (Software Technology) of the Zhejiang University (Hangzhou, China) -- the leading university of the Zhejiang province where he was born.

Prof. Li has been actively involved in the research community by serving as an associate editor and reviewer for technical journals, and as an organizer/co-organizer of numerous international conferences. Some recent conferences in which he is playing or has played major roles include APWeb-WAIM'18, ICDM 2018, WISE2017, ICDSC2016, DASFAA2015, U-Media2014, ER2013, RecSys2013, NDBC2012, ICMR2012, CoopIS2011, WAIM2010, DASFAA2010, APWeb-WAIM'09, ER'08, WISE'07, ICWL'06, HSI'05, WAIM'04, IDEAS'03,VLDB'02, PAKDD'01, IFIP 2.6 Working Conference on Database Semantics (DS-9), IDS'00, and WISE'00. In addition, he served as a programme committee member for over fifty international conferences (including VLDB, ICDE, WWW, DASFAA, ER, CIKM, CAiSE, CoopIS, and FODO). He is currently a Fellow of IEEE and IET/IEE, a member of ACM-SIGMOD and IEEE Technical Committee on Data Engineering. He is the chairperson of the Hong Kong Web Society, and also served/is serving as an executive committee (EXCO) member of IEEE-Hong Kong Computer Chapter and ACM Hong Kong Chapter. In addition, he serves as a councilor of the Database Society of Chinese Computer Federation (CCF), a member of the Big Data Expert Committee of CCF, and is a Steering Committee member of DASFAA, ER, ICWL, UMEDIA, and WISE Society.

 

 

Keynote Speaker III

Prof. Henry Leung, University of Calgary, Canada (IEEE Fellow)

Dr. Henry Leung is a professor of Electrical and Computer Engineering at the University of Calgary, Canada. He was previously with the Department of National Defence (DND) of Canada as a defense scientist. He has over 300 journal papers and over 250 refereed conference papers in the areas of signal and image processing, data mining, information fusion, machine learning, IoT, and sensor networks. He also holds more than 15 patents. Dr. Leung is the editor of the Springer book series on “Information Fusion and Data Science”. He has been an associate editor of various journals such as the International Journal on Information Fusion, IEEE Trans. Aerospace and Electronic Systems, IEEE Signal Processing Letters, IEEE Circuits and Systems Magazine, IEICE Trans. on Nonlinear Theory and Applications. He is a Fellow of IEEE and SPIE.

 

 

Keynote Speaker IV

Prof. Reynold C.K. Cheng, The University of Hong Kong, Hong Kong, China

Prof. Reynold Cheng is the Division Head and Professor (Computer Science), at the School of Computing and Data Science, in the University of Hong Kong (HKU). He is also a Steering Committee Member of the HKU Musketeers Foundation Institute of Data Science. He is an academic advisor to the College of Professional and Continuing Education of HKPU. He was an Associate Dean of Engineering in 2022-24. His research interests are in data science, big graph analytics and uncertain data management. Professor Cheng is named the AI 2000 Most Influential Scholar Honorable Mention in Database in 2023 and 2024. He received the ACM Distinguished Membership Award and the HKU Outstanding Research Student Supervisor Award in 2023. He was listed as the World’s Top 2% Scientists by Stanford University in 2022.  He received the SIGMOD Research Highlights Reward 2020, HKICT Awards (2021, 2023), and HKU Knowledge Exchange Award (Engineering) (2024, 2021). He was granted an Outstanding Young Researcher Award 2011-12 by HKU. He received the Universitas 21 Fellowship in 2011, and two Performance Awards from HKPU Computing in 2006 and 2007.  He was a PC co-chair of IEEE ICDE 2021. He is on the editorial board of IS, DAPD and DSEJ.

 

 

Keynote Speaker V

Prof. Yu-Wang Chen, The University of Manchester, UK

Yu-Wang Chen is Professor of Decision Sciences and Business Analytics at Alliance Manchester Business School (AMBS), The University of Manchester. He was Turing Fellow at The Alan Turing Institute from 2021 to 2023. Prior to joining AMBS, he worked briefly as a Postdoctoral Research Fellow at the Department of Computer Science, Hong Kong Baptist University. He received the PhD degree in System Engineering from Shanghai Jiao Tong University. His research focuses primarily on Decision Sciences, Data Analytics and AI, with applications in business analytics, maritime transportation, risk analysis, healthcare decision support, etc. He has published more than 80 research articles in leading journals, such as European Journal of Operational Research, Risk Analysis, Information Sciences, Information Fusion, Computers & Operation Research, Knowledge-Based Systems and IEEE Transactions on Systems, 5 books or book chapters and 20+ publications in conference proceedings. He has been awarded a number of research or industry projects as PI, Joint PI or Co-I by Innovate UK, Turing-UoM Fund, EPSRC (Engineering and Physical Sciences Research Council), ERDF (European Regional Development Fund), etc., with a total funding budget of over 2 million pounds. He currently serves as Associate Editor of the Decision Analytics Journal and Editorial Board Member of multiple journals. He is a member of EPSRC Peer Review College, International Society of Multiple Criteria Decision Making and EURO Multiple Criteria Decision Aiding (MCDA) Working Groups. He has successfully coordinated and taught across a broad portfolio of course units at all different undergraduate and postgraduate levels at AMBS. Previously, he served as the Programme Director (2015-2018 & 2020-2023) for the MSc Business Analytics programme (2023 QS Ranking: 2nd in the UK & 16th in the world).

 

 

Keynote Speaker VI

Prof. Yingwah Teh, University of Malaya, Malaysia

As a highly accomplished computer scientist and data mining expert with over 35 years of experience, I have demonstrated exceptional leadership, expertise, and vision in the field. Over the course of my career, I have achieved numerous successes and made significant contributions to the industry. I began as an entry-level computer programmer in 1988 and advanced to become a Professor of Data Mining at the Faculty of Computer Science and Information Technology at the University of Malaya. I obtained my tertiary academic qualifications from Oklahoma City University and the University of Malaya, and I have published more than 90 academic papers in top-tier journals, including Information Fusion and the International Journal of Information Management. I have a remarkable H-index and number of citations in Web of Science, Scopus, and Google Scholars databases, and I have supervised numerous students at all levels of study. My areas of research include data warehouse, data mining, deep learning, IoT, activity recognition, wearable sensors, accelerometers, heart arrhythmia, electrocardiograph, supraventricular premature beat, multivariate time series, edge computing, task scheduling, data streams, mobile computing, speaker verification, language recognition, clustering algorithms, MapReduce, stock market, and sentiment analysis. I have received several grants of more than RM one million, including public, international, and private grants, and I have completed two commercial data science projects for Petronas GTD and Air Liquide. I serve as an Associate Editor for Human-Media Interaction - Frontiers in Psychology and a reviewer for several high-quality journals. I am also an Expert Advisory Panel for Master of Science (Data Science) Degree Program at UTP, Programme Advisory Panel for Bachelor of Business (Honors) in Business Analytics at TARUC, and an external assessor of Swinburne University of Technology (BS of Computer Science program). Additionally, I am an External Assessor for Programme Master Sciences (Computer and Information Engineering), IIUM, and a technical assessor of Swiss National Science Foundation. I have been teaching data mining since 2002, and have produced many highly qualified data scientists and Ph.D. graduates who have gone on to work for top companies like IBM, Amazon Web Services, and Google. As a highly respected and accomplished computer scientist, I have demonstrated exceptional dedication to the industry, and I am confident that my expertise, leadership, and vision make me a highly qualified computer scientist.

 

 

Invited Speaker VII

Dr. Fanlin Meng, University of Exeter, UK

Dr. Fanlin Meng is a Senior Lecturer in Operations and Analytics at the University of Exeter Business School where he is also the Director of Research and Impact for Operations and Analytics subdepartment. Previously he held academic positions at the University of Manchester and University of Essex. He received his PhD in Computer Science (machine learning and optimisation) from University of Manchester in 2015. Dr Meng's primary research interests include Energy Market, Carbon Market, Smart Energy and Mobility, Machine Learning, Game Theory and Optimisation. With a strong interdisciplinary background, his research has appeared in leading journals in Business and Management (such as European Journal of Operational Research, IEEE Transactions on Evolutionary Computation), Energy (such as IEEE Transactions on Smart Grid, Renewable and Sustainable Energy Reviews), AI and Intelligent Systems (such as Neural Networks, IEEE Transactions on Industrial Informatics). He is a Fellow of British Computer Society (FBCS), member of EPSRC Peer Review College, and Senior Member of IEEE.