Xiaoming Huo is A. Russell Chandler III Professor at the Stewart School of Industrial & Systems Engineering at Georgia Tech.
Dr. Huo’s research interests include statistics, machine learning, and the foundation of data science. He has made numerous contributions to sparse representation, compressive sensing, wavelets, theory of deep learning, and fast algorithms. His papers appeared in top journals, and some are highly cited.
Dr. Huo received a B.S. degree in mathematics from the University of Science and Technology, China, in 1993 and an M.S. in electrical engineering and a Ph.D. in statistics from Stanford University, Stanford, CA, in 1997 and 1999, respectively. Since August 1999, he has been an Assistant/Associate/Full Professor with the School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta. He represented China in the 30th International Mathematical Olympiad (IMO), held in Braunschweig, Germany 1989, and received a golden prize. From August 2013 to August 2015, he served the USA National Science Foundation as a Program Director in the Division of Mathematical Sciences (DMS). Dr. Huo has presented keynote talks at major conferences and numerous invited colloquia and seminar presentations in the US, Asia, and Europe.
Dr. Huo is now the Executive Director of TRIAD (Transdisciplinary Research Institute for Advancing Data Science), an NSF-funded research center at Georgia Tech. He is also the Associate Director for Research at the Institute for Data Engineering and Science and an Associate Director in the Master of Science in Analytics program, overseeing a new branch in the Shenzhen-China off-campus instructional site of Georgia Institute of Technology. Huo is actively involved in the NSF AI Institute: ACTION (https://action.ucsb.edu).