Developing new methods or algorithms for decision-making under uncertainty. 

Nan JIANG joined the Department of Industrial Engineering and Decision Analytics at the Hong Kong University of Science and Technology as an Assistant Professor in August 2025. Prior to this position, he was a Postdoctoral Researcher at Cornell Tech. He received his Ph.D. in Operations Research from the School of Industrial and Systems Engineering at Georgia Institute of Technology and B.S. in Industrial Engineering from University of Pittsburgh (2019). 

1. D. Han, N. Jiang, S. Dey, W. Xie (2025), Regularized MIP Model for Integrating Energy Storage Systems and its Application for Solving a Trilevel Interdiction Problem. INFORMS Journal on Computing. doi: 10.1287/IJOC.2024.077


2. S. Acharya, S. Li, Y. Wu, N. Jiang, W. Lou, T. Hou (2025) Spectrum-Efficient Solution with Data Rate Guarantees in 5G/Next-G Networks. IEEE Internet of Things Journal. doi: 10.1109/JIOT.2025.3595817


3. S. Li, N. Jiang, C. Li, S. Acharya, Y. Wu, W. Xie, W. Lou, T. Hou (2025), Real-time MU-MIMO Beamforming with Limited Channel Samples in 5G Networks. IEEE Transactions on Mobile Computing. doi: 10.1109/TMC.2025.3592929


4. S. Acharya, S. Li, N. Jiang, Y. Wu, W. Xie, W. Lou, T. Hou (2025), Real-time Scheduling for GAA Users' Coexistence in CBRS Using O-RAN Architecture. IEEE Transactions on Cognitive Communications and Networking. doi: 10.1109/TCCN.2025.3584935.


5. S. Acharya, S. Li, Y. Wu, N. Jiang, W. Xie, W. Lou, T. Hou (2025), A New Approach to Tackle Channel Uncertainty with Limited Data Samples. IEEE Wireless Communications. doi:10.1109/MWC.013.2400339


6. N. Jiang, W. Xie (2025), ALSO-X#: Better Convex Approximations for Distributionally Robust Chance Constrained Programs. Mathematical Programming, 213, pp.575-638.


7. N. Jiang, W. Xie (2025), The Terminator: An Integration of Inner and Outer Approximations for Solving Wasserstein Distributionally Robust Chance Constrained Programs via Variable Fixing. INFORMS Journal on Computing, 37(2), pp.381–412. 


8. S. Li, N. Jiang, Y. Chen, W. Xie, W. Lou, T. Hou (2024), MU-MIMO Beamforming with Limited Channel Data Samples. IEEE Journal on Selected Areas in Communications 42(11), pp.3032-3047. 


9. N. Jiang, W. Xie (2024), Distributionally Favorable Optimization: A Framework for Data-driven Decision-making with Endogenous Outliers. SIAM Journal on Optimization 34(1), pp.419–458. 


10. N. Jiang, W. Xie (2022), ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs. Operations Research 70(6), pp.3581-3600.