Professor Le Song Joins MBZUAI Machine Learning Department as Deputy Department Chair
MBZUAI is proud to announce that Professor Dr. Le Song will be joining MBZUAI as Deputy Department Chair of the Machine Learning Department. Dr. Le Song has led a lengthy and distinguished career that spans decades as a research pioneer and academic in machine learning and artificial intelligence.
Prof. Le Song’s impressive portfolio includes his several years’ experience in various Institutes such as Georgia Institute of Technology, Google Research, Carnegie Mellon University and National ICT Australia.
Prof. Le Song was an Associate Professor of Computational Science and Engineering and also the Associate Director of Center for Machine Learning at Georgia Institute of Technology in the USA. He holds a PhD in Computer Science from the University of Sydney and National ICT Australia. As an educator, he received honors and awards for his research and articles as a Principal Investigator and co-Principal Investigator.
He developed machine learning methods and algorithms for complex and dynamic data, machine learning and cross-campus multi-disciplinary research, large scale machine learning package for Internet data, nonparametric probabilistic graphical models for complex social and biological data and analyzed sensor time series data using kernel methods.
Prof. Le Song’s remarkable works won several best paper awards at the ACM Conference on Recommendation System (Recsys) in 2016, Artificial Intelligence and Statistics (AISTATS) in 2016, IEEE International Parallel & Distributed Processing Symposium (IPDPS) in 2015, Neural Information Processing Systems (NeurIPS) in 2013, and International Conference on Machine Learning (ICML) in 2010. He was also the recipient of the National Science Foundation CAREER Award in 2014, and Outstanding Junior Faculty Research Award in 2014 and Lockheed Martin Inspirational Young Faculty Award in 2014.
Prof. Le Song published more than 160 papers in peer-reviewed top machine learning conferences and journals such as NeurIPS, ICML, ICLR, AISTATS and JMLR over the past 15 years. He was invited as an Area Chair in many international conferences. Prof. Le Song is also an active member of several regional and international groups in the field of Machine Learning, Artificial Intelligence and Statistics, such as being a Board Member of the International Conference on Machine Learning.