Prof. Xiaoli Li
Nanyang
Technological
University,
Singapore (IEEE Fellow)
Biography: Xiaoli is currently the Department Head and Senior Principal Scientist at the Institute for Infocomm Research, A*STAR, Singapore. He also serves as an adjunct full professor at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. With a diverse range of research interests, Xiaoli focuses on cutting-edge areas such as AI, data mining, machine learning, and bioinformatics. His contributions to these fields are evident through his extensive publication record, boasting over 370 peer-reviewed papers, and the recognition he has received, including over ten best paper awards. He has been serving as Editor-in-chief of the Annual Review of Artificial Intelligence and an Associate Editor for prestigious journals like IEEE Transactions on Artificial Intelligence and Knowledge and Information Systems, as well as conference chairs and area chairs of leading AI, machine learning, and data science conferences, such as AAAI, IJCAI, ICLR, NeurIPS, KDD, ICDM etc. Xiaoli is an IEEE Fellow and Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). He has been recognized as one of the world's top 2% scientists in the AI domain by Stanford University, and Clarivate's Highly Cited Researcher. Beyond academia, Xiaoli possesses extensive industry experience, where he has successfully spearheaded over 10 R&D projects in collaboration with major industry players across diverse sectors, such as aerospace, telecom, insurance, and professional service companies. In addition, he has been a member of Information Technology Standards Committee (ITSC) from Infocomm Media Development Authority (IMDA) since 2020. Moreover, he serves as a health innovation expert panel member for the Ministry of Health (MOH), expert panel member for Ministry of Education (MOE), as well as an AI advisor for the Smart Nation and Digital Government Office (SNDGO), Prime Minister s Office, highlighting his extensive involvement in key Government and industry initiatives.
A. Prof. Ts. Dr. Mohd Arfian Bin Ismail
Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia
Biography: Mohd Arfian Bin Ismail obtained his Master's Degree (Computer Science) and Universiti tecknoologi Malaysia (UTM) Doctor of Philosophy's Degree in Malaysia (UTM). He is currently an Associate Professor in the School of Engineering at UTM's School of Computer Science. He has extensive research experience in Machine Learning, Fuzzy Systems, Metaheuristic Algorithms, Data Mining, Privacy Preserving and other fields. As an academic, he has extensive teaching experience, he has successfully mentored more than a number of graduate students and received more than 11 research grants, and he has been invited as a keynote speaker at several international conferences.
A. Prof. Fangkun Guo
Sanda University, China
Biography: Professor Guo has led and completed over 30 projects for Taiwan's science and technology regulatory authorities, sports regulatory authorities, and industry; Key Project of School level Education Reform at Shanghai Sanda University; Key Research Project of Shanghai Sanda University Foundation; Shanghai Sanda University Key Course Project; Ctrip Campsite Service and Management Standardization Horizontal Project; The paper has been published in over 20 international SCI and SSCI journals.