The Michigan Engineer News Center

Siqian Shen receives DoE Early Career award

IOE professor Siqian Shen has received funding from the Department of Energy Early Career Research Program for her project entitled, "Extreme‐Scale Stochastic Optimization and Simulation via Learning‐Enhanced Decomposition and Parallelization"| Short Read

Title: Extreme‐Scale Stochastic Optimization and Simulation via Learning‐Enhanced Decomposition and Parallelization

Funding Source: Department of Energy Early Career Research Program, Office of Advanced Scientific Computing Research

The purpose of this research is to incorporate machine learning techniques into decomposition algorithms for solving stochastic optimization and simulation models using high performance computing. We consider a broad class of complex decision‐making problems, where discrete or continuous decisions are made before and/or after knowing multiple and potentially correlated sources of uncertainties. Examples include Cloud Computing service scheduling, sensor deployment for monitoring critical infrastructures, and other resource allocation and operational problems in energy and national security.

Please see https://science.energy.gov/early-career/ for the official announcement.

Portrait of Kristi Rork

Contact

Kristi Rork
Research Process Manager

Industrial & Operations Engineering

(734) 764-2478

1813 IOE Building

Researchers
The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

Mapping quantum structures with light to unlock their capabilities

Rather than installing new “2D” semiconductors in devices to see what they can do, this new method puts them through their paces with lasers and light detectors. | Medium Read