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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: April 30, 2021
Associate Professor Andy Sun has been appointed to a David M. McKenney Family Associate Professorship, as announced by Georgia Tech’s H. Milton Stewart School of Industrial and Systems Engineering (ISyE). Prior to this appointment, Sun held an Anderson-Interface Early Career Professorship.
Sun’s research focuses on both theory and applications of deterministic optimization and optimization under uncertainty. Much of his research concerns applications for energy systems, including resiliency of power systems.
He has developed one of the first efficient algorithms for solving two-stage robust optimization problems that are significantly faster than Benders’ decomposition; cutting plane methods for multistage robust linear optimization that are much more scalable than the duality approach; models for decision-dependent uncertainty; and a fast exact algorithm (SDDiP) for multistage stochastic integer linear programming. Sun’s team is working toward developing new algorithms and complexity analysis for multistage stochastic and distributionally robust programs with integer decisions and nonlinear constraints, as well as first-order methods for nonconvex distributed and nonlinear optimization.
In particular, Sun has received recognition for his research on applications for energy systems. A Georgia Tech team led by Sun won third place in the 2020 ARPA-E Grid Optimization Competition for solving large-scale optimization problems for electric power grid operation. Additional awards include:
Sun also received an NSF CAREER grant in 2018.