معرفی
Dr. Yongjia Song is an Associate Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. His research focuses on optimization under uncertainty, stochastic programming, and network interdiction with applications in disaster logistics, energy systems, and humanitarian operations.
- BS in Computational Mathematics (2009), Peking University
- MS in Industrial Engineering (2012), University of Wisconsin-Madison
- MS in Computer Sciences (2012), University of Wisconsin-Madison
- PhD in Industrial Engineering (2013), University of Wisconsin-Madison
His work addresses complex systems under uncertainty through:
- Stochastic and robust optimization frameworks
- Integer programming for discrete decision problems
- Applications in disaster response and transportation networks
- Evacuation planning and shelter management
- Human trafficking disruption modeling
Recent publications demonstrate trends in:
- Multistage stochastic programming for dynamic disaster response
- Bayesian preference elicitation for complex design problems
- Network interdiction models for security and trafficking disruption
- Integration of logistics and evacuation planning under uncertainty
- Adaptive algorithms for large-scale optimization
Professional affiliations include:
- Institute for Operations Research and the Management Sciences (INFORMS)
- Mathematical Optimization Society (MOS)
- Society for Industrial and Applied Mathematics (SIAM)
He teaches graduate courses in risk modeling (IE 8090) and actively works on practical implementations of optimization techniques in real-world systems.
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