Keynote Speaker I

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 II

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 III

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.