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Jangho Park

JanghoPark
Jangho Park
Postdoctoral Scholar

I am a postdoctoral researcher in the Center for Computational Sciences and Engineering (CCSE) in theComputational Research Division of the Computing Sciences Directorate at the Lawrence Berkeley National Laboratory

I received my PhD in Operations Research from the Ohio State University in May 2019. My dissertation research studied stochastic optimization, particularly variance reduction for sequential sampling procedure in stochastic programming and data-driven distributionally robust optimization with applications in water resources management.

Manuscripts

  • J. Park, D. K. Love, and G. Bayraksan. Simple estimators of value of data and price of data for data-driven distributionally robust optimization. Working Paper, January 2019

  • J. Park, D. K. Love, and G. Bayraksan. Multistage distributionally robust approach to water allocation under climate uncertainty. Working Paper, January 2019

  • J. Park, R. Stockbridge, and G. Bayraksan. Variance reduction for sequential sampling in stochastic programming. Submitted

Journal Articles

Conference Talks

  • J. Park, D. K. Love, and G. Bayraksan. Simple estimators of value of data and price of data for data-driven distributionally robust optimization. In INFORMS Annual Meeting, Seattle, WA, October 20-23, 2019.

  • J. Park, R. Stockbridge, and G. Bayraksan. Variance reduction for sequential sampling in stochastic programming. In INFORMS Annual Meeting, Phoenix, AZ, November 4-7, 2018.

  • J. Park, D. K. Love, and G. Bayraksan. Data-driven distributionally robust water allocation under climate uncertainty. In INFORMS Annual Meeting, Houston, TX, October 22-25, 2017.

  • J. Park, R. Stockbridge, and G. Bayraksan. Variance reduction for sequential sampling in stochastic programming. In INFORMS Computing Society Conference, Austin, TX, January 15-17, 2017.

  • J. Park, R. Stockbridge, and G. Bayraksan. Variance reduction for sequential sampling in stochastic programming. In INFORMS Annual Meeting, Nashville, TN, November 13-16, 2016.

  • J. Park, R. Stockbridge, and G. Bayraksan. Variance reduction techniques for sequential sampling methods in stochastic programming. In INFORMS Annual Meeting, Philadelphia, PA, November 1-4, 2015.

  • J. Park, S. Lee, and C. Jun. An exponentially weighted moving average chart using multiple hypothesis testing. In 17th Conference on The Korean Institute of Plant Engineering, Pohang, South Korea, November 15-16, 2012.

  • J. Park and C. Jun. A multivariate process control scheme using multiple hypothesis testing. In The Joint Conference of Korean Operations Research and Management Science Society and Korean Institute of Industrial Engineers, Gyeongju, South Korea, May 10-11, 2012.