Welcome to the Stochastic Optimization and Learning Lab. Our research integrates theories from operations research, optimization, data science, and machine learning to address complex problems across various industries.
News
October 2024 : Prof. Jangho Park presented "Value of Data for Distributionally Robust Optimization with Phi-Divergences" in the Invited Session (OPT: Optimization Under Uncertainty) at the 2024 INFORMS Annual Meeting, Seattle WA USA.
August 2024 : Invited Speaker - Prof. Jangho Park presented "Distributionally Robust Optimization with Phi-Divergences" at the Seminar Series in the Department of Integrated Systems Engineering at The Ohio State University.
August 2024 : The Stochastic Optimization and Learning Laboratory (SOL Lab) is now open!