Ph.D. in Industrial Engineering and Management Sciences, Northwestern University, 2019

B.S. in Industrial and Systems Engineering, Georgia Institute of Technology, 2014

Professor Haoxiang Yang received his bachelor’s degree from the Georgia Institute of Technology in 2014; he later obtained his PhD degree in Industrial Engineering and Management Sciences from Northwestern University in 2019. Professor Yang’s current research interests include optimization under uncertainty, large-scale optimization and decomposition methods, mixed integer programming, and nonlinear optimization, with applications focusing on energy systems, disaster relief and humanitarian aid, public health, air transportation, supply chain, and sports analytics.

Prior to joining CUHK-Shenzhen in Summer 2021, Professor Yang was a Postdoctoral Research Associate of Los Alamos National Laboratory, working on nonlinear optimization under uncertainty models and algorithms for power system contingency analysis, quantum computing, and pandemic control. Professor Yang accumulated a wealth of industrial research experience at Pacific Northwest National Lab, RAND Corporation, and Wal-Mart Stores, Inc.

1. P. J. Rathouz, V. Valencia, P. Chang, D. P. Morton, H. Yang, Ö. Sürer, S. J. Fox, E. C. Matsui, A. B. Haynes, L. A. Meyers. "Survival analysis methods for analysis of hospitalization data: Application to COVID-19 patient hospitalization experience". Submitted.

2. H. Yang, D. Morton. "Optimal Crashing of an Activity Network with Disruptions". Accepted at Mathematical Programming.

3. H. Yang, Ö. Sürer, D. Duque, D. P. Morton, B. Singh, S. J. Fox, R. Pasco, K. Pierce, P. Rathouz, Z. Du, M. Pignone, M. E. Escott, S. I. Adler, S. C. Johnston, L. A. Meyers. "Design of COVID-19 Staged Alert Systems to Ensure Healthcare Capacity with Minimal Closures". Accepted at Nature Communications.

4. H. Yang, D. Duque, D. Morton, "Optimizing Diesel Fuel Supply Chain Operations for Hurricane Relief". Under revision at IISE Transactions.

5. H. Yang, H. Nagarajan, "Optimal Power Flow in Distribution Networks under N-1 Disruptions: A Multi-stage Stochastic Programming Approach". Accepted at INFORMS Journal on Computing.

6. H. Yang, C. Bandi, K. Dvijotham, D. Morton. (2021) "Robust Optimization for Electricity Generation". INFORMS Journal on Computing, 33:1, 336-351

7. H. Yang, D. Morton, Y. Hu. (2020) "Analyzing Client Behavior in a Syringe Exchange Program". Analyzing client behavior in a syringe exchange program. IISE Transactions on Healthcare Systems Engineering, 10:2, 142-157.

8. P. Verhaeghen, S. Geigerman, H. Yang, A. C. Montoya, D. Rahnev. (2019) "Resolving age-related differences in working memory: Equating perception and attention makes older adults remember as well as younger adults". Experimental aging research, 45:2, 120-134.

9. J. Yu, H. Baroud, H. Yang. "Two-stage Stochastic Programming Approach for the Integrated Preparedness and Response of Interdependent Infrastructure Networks Under Uncertainty". Working Paper.

10. H. Yang. "Multi-stage Distributionally Robust Optimization under Stochastic Disruptions". Working Paper.