siqian-shen-featuredMICDE Associate Director Siqian Shen has been selected to receive an Early Career Award for the Department of Energy Office of Science by the DoE Office of Advanced Scientific Computing Research. The objective of her proposal titled “Extreme‐Scale Stochastic Optimization and Simulation via Learning‐Enhanced Decomposition and Parallelization” is to develop an efficient and unified framework that integrates machine learning with discrete optimization and risk‐averse modeling. The models considered represent a broad class of complex decision‐making problems, where 0‐1 or continuous decisions are made before and/or after knowing multiple and potentially correlated sources of uncertainties. This research will shed new light on the traditional decomposition algorithms for high‐performance computing.

Prof. Shen was recently promoted to Associate Professor of Industrial and Operations Engineering. To learn more about her research please visit https://live-umor-micde.pantheonsite.io/faculty-member/siqian-shen/.

The Early Career Award program from the US Department of Energy is a funding opportunity for researchers in universities and DOE national laboratories to support the development of individual research programs of outstanding scientists early in their careers. For the past 8 years this program has helped stimulate research careers in the disciplines supported by the DOE Office of Science. These include Advanced Scientific Computing Research (ASCR); Biological and Environmental Research (BER); Basic Energy Sciences (BES), Fusion Energy Sciences (FES); High Energy Physics (HEP), and Nuclear Physics (NP).