Wei Sun, PhD
Research Assistant Professor, Sensor Fusion Lab, Dept. of Systems Engineering & Operations Research, George Mason University
Senior Analyst, Dept. of Enterprise Optimization, United Airlines, Inc.
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Wei Sun, PhD Research Assistant Professor, Sensor Fusion Lab, Dept. of Systems Engineering & Operations Research, George Mason University Senior Analyst, Dept. of Enterprise Optimization, United Airlines, Inc. |
Education
Ph.D. in Information Technology, George Mason University, 2007
M.S. in Operations Research, George Mason University, 2003
B.S. in Electrical Engineering, Zhejiang University, 1991
Research
Efficient Bayesian network inference algorithms development
Stochastic modeling for solving real problem such as forecasting, pattern detection, etc.
Non-linear filtering for tracking dynamic systems
Data-mining, simulation, and decision support under uncertainty using artificial intelligence
Typical Projects
Demand forecasting for airlines revenue management
Efficient innovative inference algorithm development for Bayesian network
Parameter estimation for stochastic volatility model
Non-linear filtering methods comparison
Performance evaluation modeling for Bayesian networks
Monte Carlo simulation and Gaussian mixture model in Bayesian inference
Portfolio return forecasting using Bayesian network
Publications
Wei Sun, PhD dissertation: Efficient Inference for Hybrid Bayesian Networks. George Mason University, 2007.
Wei Sun, KC Chang, Message Passing
for Hybrid Bayesian Networks: Representation, Propagation and Integration.
To appear in IEEE Trans. on Aerospace and Electronic Systems, 2009.
Wei Sun and KC Chang, Hybird Message Passing for Mixed Bayesian Networks. In proceedings of the 10th International Conference on Information Fusion, Quebec, Canada, July 2007.
Wei Sun and KC Chang, Unscented Message Passing for Arbitrary Continuous variables in Bayesian Networks. In proceedings of the 22rd AAAI Conference on Artificial Intelligence, Vancouver, Canada, July 2007.
Wei Sun and KC Chang, Probabilistic Inference Using Importance Sampling for Hybrid Bayesian Networks. In proceedings of SPIE, Volume 5809, Orlando, 2005.
KC Chang and Wei Sun, Performance Modeling for Dynamic Bayesian Networks. In proceedings of SPIE, Volume 5429, Orlando, 2004.
KC Chang and Wei Sun, Comparing Probabilistic Inference for Mixed Bayesian Networks. In proceedings of SPIE, Volume 5096, Orlando, 2003.
Selected Awards
Outstanding PhD Fellowship, The Volgenau School of Information Technology & Engineering, George Mason University, 2003~2007.
Academic Excellence, Department of Systems Engineering & Operations Research, George Mason University, 2003.