Chun-Hung Chen

Modeling the unpredictable.

Understanding what could go wrong before it happens is vital to almost every industry. Stochastic modeling works to help engineers simulate incidents that arise from seemingly random circumstances. This is especially important to air transportation systems, technology manufacturing, healthcare, security networks, power grids, and military operations. Chun-Hung Chen is the inventor of a novel idea called Optimal Computing Budget Allocation, which drastically improves the efficiency of stochastic simulation.

Because this methodology has proven to be of great importance to so many applications, Chen’s research has been funded by a variety of organizations such as the National Science Foundation, the National Institutes of Health, the Department of Energy, NASA, the US Air Force, the US Missile Defense Agency, and the Federal Aviation Administration. Chen teaches several sections of systems simulation modeling and research techniques at the graduate and undergraduate levels.

Research

2012 - 2015: Stochastic Simulation Optimization: An Optimized Approach. Funded by the National Science Foundation.

2010 - 2013: Using GIS and Simulation for Analyzing Optimal Geographical Boundaries and Organ Allocation Mechanism for Liver Transplant. Funded by the National Institutes of Health.

2009 - 2013: New Approaches for Rare-event Simulation and Decision Making. Funded by the US Department of Energy.

Research Interests

Simulation

Degrees

• PhD, Decision and Control, Harvard University
• MS, Electrical Engineering, National Taiwan University
• BS, Control Engineering, National Chiao-Tung University