Graduate Research Assistant
Part time, George Mason University, Department of Computer Science, 2013
- Designed and developed reusable mathematical models for non-linear, stochastic, hierarchical, and temporal manufacturing processes from real-world data.
- Designed and developed one-stage stochastic optimization algorithms based on deterministic approximation heuristics.
- Developed and published the stochastic optimization algorithm based on deterministic approximations (SODA) to efficiently solve the problem of finding controls for stochastic processes in a large manufacturing service network.
- Publications to come out of this work include GMU’14, ICS’15, JDS’15, HICSS’16, JDS’18, and IFIPDSS’18.