Seonghun Park

Seonghun Park is a Ph.D. student in the Grado Department of Industrial and Systems Engineering.  He is advised by Manish Bansal.
Park’s research is focused on distributionally robust stochastic programming and combinatorial optimization. His expertise also extends to data analysis, including computer vision, time-series analysis, and probabilistic graphical models.
Ph.D Student
Research Areas:
  • Artificial Intelligence
  • iconComputer Vision
  • iconForecasting
  • iconProbabilistic Graphical Models
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