Assistant Professor of Systems and Industrial Engineering
Research is focused on the design, analysis, and implementation of stochastic approximation methods for solving convex optimization and stochastic variational inequality problems with applications in machine learning, game theory, and power systems.
Associate Professor, Systems & Industrial Engineering
Dr Liu's research is in the integration of manufacturing engineering knowledge, control theory and advanced statistics for product quality and productivity improvement. His recent research focuses on system prognostic/diagnostic modeling and analysis and
Stochastic nonlinear phenomena in biology and physics, especially problems from computational neuroscience and nonequilibrium statistical physics; Monte Carlo algorithms; numerical methods for stochastic differential equations; scientific computing.