Neng Fan

Associate Professor of Systems and Industrial Engineering

Assistant Professor, Applied Mathematics Graduate Interdisciplinary Program

Assistant Professor, Statistics Graduate Interdisciplinary Program
Dr. Neng Fan is an associate professor at Department of Systems and Industrial Engineerin, and also member of Graduate Interdisciplinary Program (GIDP) in Statistics, and GIDP in Applied Math at the University of Arizona (UA), 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.
Degrees
 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
 M.S. Industrial and Systems Engineering
 University of Florida, Gainesville, Florida, United States
 M.S. Applied Math
 Nankai University, Tianjin, China
 B.S. Computational Math
 Wuhan University, Wuhan, China
Interests
Teaching
Optimization, Operations Research, Probability, Statistics, Data Analytics, Machine Learning
Research
(1) Methodologies in Optimization: Integer programming, combinatorial optimization, stochastic programming, robust optimization, multilevel programming, largescale optimization; (2) Applied Operations Research: energy systems, water systems, renewable energy integration, interdependent infrastructures, healthcare, sustainable agriculture; (3) Data Analytics: data mining, machine learning, highdimensional data with uncertainties
Selected Publications
Journals/Publications
 Ruiz Duarte, J., Fan, N., & Jin, T. (2020). Multiprocess production scheduling with variable renewable integration and demand response. European Journal of Operational Research, 281(1), 186200. doi:10.1016/j.ejor.2019.08.017
 Gu, W., Fan, N., & Liao, H. (2019). Evaluating readmission rates and discharge planning by analyzing the lengthofstay of patients. Annals of Operations Research, 276(12), 89108. doi:10.1007/s1047901829571
 Ruiz Duarte, J., & Fan, N. (2019). Operations of a microgrid with renewable energy integration and line switching. Energy Systems, 10(2), 247272. doi:10.1007/s1266701802868
 Sun, O., & Fan, N. (2019). Solving multistage PMU placement problem by integer programming and equivalent network design model. Journal of Global Optimization, 74(3), 477493. doi:10.1007/s1089801806728
 Sun, O., & Fan, N. (2019). The probabilistic and reliable connected power dominating set problems. Optimization Letters, 13(5), 11891206. doi:10.1007/s1159001813396
 Wang, X., Fan, N., & Pardalos, P. M. (2018). Robust chanceconstrained support vector machines with secondorder moment information. Annals of Operations Research, 263(12), 4568. doi:10.1007/s1047901520396
 Chen, R. L., Fan, N., Pinar, A., & Watson, J. (2017). Contingencyconstrained unit commitment with postcontingency corrective recourse. Annals of Operations Research, 249(1), 381407. doi:10.1007/s104790141760x
 Golari, M., Fan, N., & Jin, T. (2017). Multistage stochastic optimization for productioninventory planning with intermittent renewable energy. Production and Operations Management, 26(3), 409425. doi:10.1111/poms.12657
 Golari, M., Fan, N., & Wang, J. (2017). Largescale stochastic power grid islanding operations by line switching and controlled load shedding. Energy Systems, 8(3), 601–621. doi:10.1007/s1266701602157
 Guo, Z., Chen, R., Fan, N., & Watson, J. (2017). Contingencyconstrained unit commitment with intervening time for system adjustments. IEEE Transactions on Power Systems, 32(4), 30493059. doi:10.1109/TPWRS.2016.2612680
 Wang, X., Fan, N., & Pardalos, P. M. (2017). Stochastic subgradient descent method for largescale robust chanceconstrained support vector machines. Optimization Letters, 11(5), 1013–1024. doi:10.1007/s1159001610264
 Zhang, P., & Fan, N. (2017). Analysis of budget for interdiction on multicommodity network flows. Journal of Global Optimization, 67(3), 495525. doi:10.1007/s1089801604228
 Zhang, P., Fan, N., & Liu, W. (2017). Mixed integer programming with dosevolume constraints in intensitymodulated proton therapy. Journal of Applied Clinical Medical Physics, 18(5), 29–35. doi:10.1002/acm2.12130
 Dabkowski, M., Fan, N., & Breiger, R. (2016). Exploratory blockmodeling for onemode, unsigned, deterministic networks using integer programming and structural equivalence. Social Networks, 47, 93106.
 Sadeghi, E., & Fan, N. (2016). On the minimumcost lambdaedgeconnected ksubgraph problem. Computational Management Science, 13(4), 571–596. doi:10.1007/s1028701602607
Proceedings Publications
 Zuniga Vazquez, D., Ruiz Duarte, J., Fan, N., Qiu, F., & Wang, J. (2020, Feb). Reliable power grid expansion considering N11 contingencies. In IEEE PES Innovative Smart Grid Technologies Conference.
 Ruiz Duarte, J. L., Hou, S., & Fan, N. (2019, May). Waterconstrained optimal operations of power grid with renewable integration. In Proceedings of the 2019 IISE Annual Conference.
 Zuniga Vazquez, D. A., & Fan, N. (2019, Oct). Twostage stochastic power grid expansion considering multiple N11 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, 20562061.
 Pan, Y., Li, M., Fan, N., & Hou, Y. (2018, Jun). On the throughput limit of multihop wireless networks with reconfigurable antennas. In The 15th IEEE International Conference on Sensing, Communication and Networking (SECON 2018).
 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). N11 contingencyconstrained 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 twostage 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.