Guanghui (George) Lan is an A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He also serves as Associate Director of Machine Learning and Data Science of the Center for Machine Learning.
Dr. Lan's research interests lie in theory, algorithms, and applications of stochastic optimization and nonlinear programming. Most of his current research concerns the design of efficient algorithms with strong theoretical performance guarantees and superior practical performance for solving challenging optimization problems. Dr. Lan is actively pursuing the application of stochastic and nonlinear optimization models/algorithms in machine learning/intelligence.
Dr. Lan received his Ph.D. from Georgia Tech in 2009 and served as a faculty member in the Department of Industrial and Systems Engineering at the University of Florida from 2009-2015. His research has been supported by the National Science Foundation (NSF), the Office of Naval Research (ONR), Army Research Office, USDA, AFOSR, and AHA.
His academic honors include an INFORMS Computing Society Prize (2022), NSF CAREER Award (2013), first place in the INFORMS JFIG Paper Competition (2012), finalist in the Mathematical Optimization Society Tucker Prize (2012), second place in the INFORMS George Nicholson prize (2008), and first place in the INFORMS Computing Society Student Paper competition (2008).
Dr. Lan serves as an associate editor for Computational Optimization and Applications (2014-present), Mathematical Programming (2016-present), SIAM Journal on Optimization (2016-present) and Operations Research (2023-present).