Li Xiaoli

Professor Li Xiaoli

Department Head & Senior Principal Scientist, Institute for Infocomm Research, A*STAR

Dr. Li Xiaoli is the Department Head and Senior Principal Scientist of the Machine Intellection department at the Institute for Infocomm Research (I2R), A*STAR, Singapore. He also holds adjunct full professor position at School of Computer Science and Engineering, Nanyang Technological University. He has been a member of ITSC (Information Technology Standards Committee) from ESG Singapore and IMDA since 2020 and has served as joint lab directors with a few major industry partners.  Dr. Li also served as a health innovation expert panel member for the Ministry of Health (MOH), 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.

His research interests include AI, data mining, machine learning, and bioinformatics. He has been serving as the Chair of many leading AI/data mining/machine learning related conferences & workshops (including KDD, ICDM, SDM, PKDD/ECML, ACML, PAKDD, WWW, IJCAI, AAAI, ACL, and CIKM). He currently serves as editor-in-chief of Annual Review of Artificial Intelligence, and associate editors of IEEE Transactions on Artificial Intelligence, Knowledge and Information Systems, and Machine Learning with Applications (Elsevier).

He led his team to win various top AI and data analytics international benchmark competitions and works closely with government agencies and industry partners across different verticals, e.g., bank and insurance, healthcare, aerospace, telecom, audit firm, transportation etc, to create social and economic impact.

Dr Li has published more than 320 peer-reviewed papers in top AI, Data Mining, Machine Learning and Bioinformatics conferences and journals with more than 19,000 citations (more than 2,000 annual citations in recent years; H-index 70) and won ten best paper awards.

His global standing in the field of Computer Science has been acknowledged by his ranking at #713 among the Best Scientists by ( Additionally, he has been recognized as one of the world's top 2% scientists in the AI domain by Stanford University.

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