Associate Professor of Systems and Industrial Engineering
Associate Professor, Applied Mathematics Graduate Interdisciplinary Program
Associate Professor, Statistics Graduate Interdisciplinary Program
Dr. Neng Fan is an associate professor at Department of Systems and Industrial Engineering, and also a member of Statistics Graduate Interdisciplinary Program (GIDP), and Applied Math GIDP at the University of Arizona, Tucson, Arizona. He received his bachelor degree in computational mathematics from Wuhan University in China, and master degree in applied mathematics from Nankai University in China. He also received his master and PhD degrees from Department of Industrial and Systems Engineering at University of Florida. Before joining UA, he worked in Los Alamos National Laboratory, Los Alamos, New Mexico and Sandia National Laboratories, Albuquerque, New Mexico. His research focuses on development of various optimization methodologies, and their applications in energy systems, renewable energy integration, healthcare, sustainable agriculture, and data analytics. His work has been supported by National Science Foundation, US Department of Energy, US Department of Agriculture, and local industrials.
- Ph.D. Industrial and Systems Engineering
- University of Florida, Gainesville, Florida, United States
- Combinatorial and Nonlinear Optimization Methods with Applications in Data Clustering, Biclustering and Power Systems
Optimization, Operations Research, Data Analytics, Machine Learning
Large-scale optimization, and its applications in energy systems, renewable energy integration, healthcare, sustainable agriculture, and data analytics
- Gu, W., Fan, N., & Liao, H. (2021). Fitting aggregated phase-type distributions to the length-of-stay in intra-hospital patient transfers. Operations Research for Health Care, 29, 100291. doi:10.1016/j.orhc.2021.100291
- Gu, W., Fan, N., & Liao, H. (2021). Modeling the length-of-stay of patients with geriatric diseases or alcohol use disorder using phase-type distributions with covariates. IISE Transactions on Healthcare Systems Engineering. doi:10.1080/24725579.2020.1866715
- Karimi, S., Liao, H., & Fan, N. (2021). Flexible methods for reliability estimation using aggregate failure-time data. IISE Transactions, 53(1), 101-115. doi:10.1080/24725854.2020.1746869
- Zuniga Vazquez, D., Sun, O., Fan, N., Sproul, E., Summers, H., Quinn, J., Khanal, S., Gutierrez, P., Mealing, V., Landies, A., Seavert, C., Teegerstrom, T., & Evancho, B. (2021). Integrating environmental and social impacts into optimal design of guayule and guar supply chains. Computers & Chemical Engineering, 146, 107223. doi:10.1016/j.compchemeng.2021.107223
- Dabkowski, M., Fan, N., & Breiger, R. (2020). Finding globally optimal macrostructure in multiple relation, mixed-mode social networks. Methodological Innovations, 13(3), 1--17. doi:10.1177/2059799120961693
- Ruiz Duarte, J., Fan, N., & Jin, T. (2020). Multi-process production scheduling with variable renewable integration and demand response. European Journal of Operational Research, 281(1), 186-200. doi:10.1016/j.ejor.2019.08.017
- Sproul, E., Summers, H., Seavert, C., Robbs, J., Khanal, S., Mealing, V., Landies, A., Fan, N., Sun, O., & Quinn, J. (2020). Integrated techno-economic and environmental analysis of guayule rubber production. Journal of Cleaner Production, 273, 122811. doi:10.1016/j.jclepro.2020.122811
- Sun, O., & Fan, N. (2020). A review on optimization methods for biomass supply chain: models and algorithms, sustainable issues, challenges and opportunities. Process Integration and Optimization for Sustainability, 4, 203-226. doi:10.1007/s41660-020-00108-9
- Gu, W., Fan, N., & Liao, H. (2019). Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients. Annals of Operations Research, 276(1-2), 89-108. doi:10.1007/s10479-018-2957-1
- Sun, O., & Fan, N. (2019). Solving multistage PMU placement problem by integer programming and equivalent network design model. Journal of Global Optimization, 74(3), 477--493. doi:10.1007/s10898-018-0672-8
- Sun, O., & Fan, N. (2019). The probabilistic and reliable connected power dominating set problems. Optimization Letters, 13(5), 1189--1206. doi:10.1007/s11590-018-1339-6
- Wang, X., Fan, N., & Pardalos, P. M. (2018). Robust chance-constrained support vector machines with second-order moment information. Annals of Operations Research, 263(1-2), 45-68. doi:10.1007/s10479-015-2039-6
- Chen, R. L., Fan, N., Pinar, A., & Watson, J. (2017). Contingency-constrained unit commitment with post-contingency corrective recourse. Annals of Operations Research, 249(1), 381-407. doi:10.1007/s10479-014-1760-x
- Golari, M., Fan, N., & Jin, T. (2017). Multistage stochastic optimization for production-inventory planning with intermittent renewable energy. Production and Operations Management, 26(3), 409-425. doi:10.1111/poms.12657
- Guo, Z., Chen, R., Fan, N., & Watson, J. (2017). Contingency-constrained unit commitment with intervening time for system adjustments. IEEE Transactions on Power Systems, 32(4), 3049-3059. doi:10.1109/TPWRS.2016.2612680
- Zuniga Vazquez, D., Ruiz Duarte, J., Fan, N., Qiu, F., & Wang, J. (2020, Feb). Reliable power grid expansion considering N-1-1 contingencies. In IEEE PES Innovative Smart Grid Technologies Conference.
- Ruiz Duarte, J. L., Hou, S., & Fan, N. (2019, May). Water-constrained optimal operations of power grid with renewable integration. In Proceedings of the 2019 IISE Annual Conference.
- Zuniga Vazquez, D. A., & Fan, N. (2019, Oct). Two-stage stochastic power grid expansion considering multiple N-1-1 contingencies. In Proceedings of 51st North American Power Symposium.
- Hou, S., & Fan, N. (2018, May). Optimal operations and scheduling of water pump stations considering energy consumption. In Proceedings of the 2018 IISE Annual Conference, 2056-2061.
- Fan, N., & Golari, M. (2014). Integer programming formulations for minimum spanning forests and connected components in sparse graphs. In International Conference on Combinatorial Optimization and Applications.
- Fan, N., Sadeghi, E., & Pardalos, P. M. (2014). Robust support vector machines with polyhedral uncertainty of the input data. In International Conference on Learning and Intelligent Optimization.
- Fan, N., & Watson, J. (2012). Solving the connected dominating set problem and power dominating set problem by integer programming. In International Conference on Combinatorial Optimization and Applications.
- Fan, N., Chen, R., & Watson, J. (2012). N-1-1 contingency-constrained optimal power flow by interdiction methods. In 2012 IEEE Power and Energy Society General Meeting.
- Fan, N., & Pan, F. (2011). Locating phasor measurements and detecting cutset angles in power systems. In Innovative Smart Grid Technologies (ISGT), 2011 IEEE PES.
- Fan, N., Zheng, Q. P., & Pardalos, P. M. (2011). On the two-stage stochastic graph partitioning problem. In International Conference on Combinatorial Optimization and Applications.
- Fan, N., & Pardalos, P. M. (2010). Robust optimization of graph partitioning and critical node detection in analyzing networks. In International Conference on Combinatorial Optimization and Applications.