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 the B.S. degree in mathematics from the University of Science and Technology, China, in 1993, and the M.S. degree in electrical engineering and the Ph.D. degree 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), which was held in Braunschweig, Germany, in 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 in major conferences and numerous invited colloquia and seminar presentations in the US, Asia, and Europe. He is the Specialty Chief Editor in Frontiers in Applied Mathematics and Statistics – Statistics, April 2021 – present.
Dr. Huo is now the Executive Director of TRIAD (Transdisciplinary Research Institute for Advancing Data Science), an NSF-funded research center located at Georgia Tech. In addition, he is the Associate Director for Research of the Institute for Data Engineering and Science. He is also an Associate Director in the Master of Science in Analytics program, overseeing a new branch in the Shenzhen-China campus of Georgia Institute of Technology.