Dr. Xiaoli Li is currently a Full Professor and Head of the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). He previously led A*STAR’s Machine Intellection Department, where he built and directed Singapore’s largest AI and data science research group. He has served as a Senior the Technical Director of the AI for Manufacturing Centre of Excellence, which is a national initiative funded by Ministry of Trade & Industry Singapore. Additionally, Xiaoli holds an adjunct professorship at Nanyang Technological University and previously held a similar position at the National University of Singapore for six years. He is an IEEE Fellow and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). His research focuses on AI and deep learning, with a particular emphasis on time series data analytics, learning with limited training data, and domain adaptation.
He has published over 400 peer-reviewed papers, with widely cited works in areas such as time series data analytics, positive unlabeled learning, and graph data analytics. Xiaoli frequently delivers keynote addresses, distinguished lectures, tutorials, and invited talks. His contributions have earned him numerous accolades, including 10 Best Paper Awards and recognition as a Clarivate Highly Cited Researcher. He has held numerous leadership roles in academic community, including serving as Chair and Area Chair for leading conferences in AI, data mining, and machine learning. Additionally, he serves as an editor for several high-impact journals.
Xiaoli has extensive industry experience, leading research teams to address real-world challenges across various sectors. He has successfully spearheaded over 10 R&D projects in collaboration with industry partners, including leading organizations in aerospace, manufacturing, semiconductor, telecommunications, and insurance. His expertise in AI, data mining, and machine learning has enabled him to develop innovative solutions tailored to the needs of these industries.