Publications
Selected Journal Articles
- Alhussaini, Mohammed A., Zachary M. Binger, Bianca M. Souza-Chaves, Oluwamayowa O. Amusat, Jangho Park, Timothy V. Bartholomew, Dan Gunter, and Andrea Achilli. Analysis of backwash settings to maximize net water production in an engineering-scale ultrafiltration system for water reuse. Journal of Water Process Engineering, 53: 103761, 2023.
- Jangho Park and Guzin Bayraksan. A multistage distributionally robust optimization approach to water allocation under climate uncertainty. European Journal of Operational Research, 306.2: 849-871, 2023
- Jangho Park, Juliane Muller, Bhavna Arora, Boris Faybishenko, Gilberto Pastorello, Charuleka Varadharajan, Reetik Sahu, and Deborah Agarwal. Long-term missing value imputation for time series data using deep neural networks. Neural Computing and Applications, 35.12: 9071-9091, 2023
- Jangho Park, Rebecca Stockbridge, and Guzin Bayraksan. Variance reduction for sequential sampling in stochastic programming. Annals of Operations Research, 300.1:171-204, 2021
- Juliane Muller, Jangho Park, Reetik Sahu, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, and Deborah Agarwal.Surrogate optimization of deep neural networks for groundwater predictions. Journal of Global Optimization, 81.1:203-231, 2021
- Reetik Sahu, Juliane Muller, Jangho Park, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, and Deborah Agarwal. Impact of input feature selection on groundwater level prediction from a multi-layer perceptron Neural Network. Frontiers in Water, 2:46, 2020
- Jangho Park and Chi-Hyuck Jun. A new multivariate EWMA control chart via multiple testing. Journal of Process Control, 26:51-55, 2015
- Sang-Ho Lee, Jangho Park, and Chi-Hyuck Jun. An exponentially weighted moving average chart controlling false discovery rate. Journal of Statistical Computation and Simulation, 84(8):1830-1840, 2014
- Jangho Park and Chi-Hyuck Jun. Multivariate process control chart for controlling the false discovery rate. Industrial Engineering and Management Systems, 11(4):385-389, 2012
Selected Talks
- Distributionally Robust Optimization
- UC Santa Cruz Applied Mathematics seminar, Santa Cruz, CA, Nov 23, 2020.
- INFORMS Annual Meeting, National Harbor, MD, Nov 8-11, 2020.
- INFORMS Annual Meeting, Seattle, WA, Oct 20-23, 2019.
- CS Seminars at the Berkeley Lab, Berkeley, CA, Oct 3, 2018.
- INFORMS Annual Meeting, Houston, TX, Oct 22-25, 2017.
- Hyperparameter Tuning in Neural Networks for Time-Series Data
- SIAM Conference on Computational Science and Engineering, Fort Worth, TX, March 1-5, 2021.
- INFORMS Annual Meeting, National Harbor, MD, Nov 8-11, 2020.
- CS Area Postdoc Symposium, Berkeley, CA, Jan 30, 2020.
- Variance Reduction for Sequential Sampling in Stochastic Programming
- INFORMS Annual Meeting, Phoenix, AZ, Nov 4-7, 2018.
- INFORMS Annual Meeting, Houston, TX, AZ, Oct 22-25, 2017.
- INFORMS Computing Society Conference, Austin, TX, January 15-17, 2017.
- INFORMS Annual Meeting, Nashville, TN, November 13-16, 2016.
- INFORMS Annual Meeting, Philadelphia, PA, November 1-4, 2015.
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