Neng Fan
- Professor, Systems and Industrial Engineering
- Professor, Applied Mathematics - GIDP
- Professor, Statistics-GIDP
- Member of the Graduate Faculty
- (520) 621-6557
- Engineering, Rm. 312
- Tucson, AZ 85721
- nfan@arizona.edu
Biography
Dr. Neng Fan is a Professor of Systems and Industrial Engineerin at the University of Arizona, and a member of the Applied Mathematics-GIDP and Statistics-GIDP. He received his PhD degrees from Department of Industrial and Systems Engineering at University of Florida. His research focuses on optimization under uncertainty and large-scale optimization, and their applications in power systems, renewable energy integration, sustainable agriculture, and healthcare. His research has been funded by the NSF, DOE, USDA, and local industry partners. He is a member of INFORMS and a member of IISE.
Degrees
- Ph.D. Industrial and Systems Engineering
- University of Florida, Gainesville, Florida, United States
- M.S. Applied Math
- Nankai University, China
- B.S. Computational Math
- Wuhan University, China
Interests
Research
Optimization under uncertainty and large-scale optimization, and applications in power systems, renewable energy integration, sustainable agriculture, and healthcare
Teaching
Optimization, Operations Research, Probability and Statistics
Courses
2025-26 Courses
-
Dissertation
SIE 920 (Spring 2026) -
Intro SIE Mth:Linear Prg
SIE 500C (Spring 2026) -
Research
SIE 900 (Spring 2026) -
Stochastic Optimization
SIE 649 (Spring 2026) -
Survey Optimization Meth
SIE 440 (Spring 2026) -
Survey Optimization Meth
SIE 540 (Spring 2026) -
Deterministic Oper Rsrch
SIE 340 (Fall 2025) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2025) -
Research
SIE 900 (Fall 2025)
2024-25 Courses
-
Deterministic Oper Rsrch
SIE 340 (Spring 2025) -
Dissertation
SIE 920 (Spring 2025) -
Integer + Comb Optimiz
SIE 644 (Spring 2025) -
Intro SIE Mth:Linear Prg
SIE 500C (Spring 2025) -
Survey Optimization Meth
SIE 440 (Spring 2025) -
Survey Optimization Meth
SIE 540 (Spring 2025) -
Deterministic Oper Rsrch
SIE 340 (Fall 2024) -
Dissertation
SIE 920 (Fall 2024) -
Independent Study
SIE 599 (Fall 2024)
2023-24 Courses
-
Deterministic Oper Rsrch
SIE 340 (Spring 2024) -
Dissertation
SIE 920 (Spring 2024) -
Research
SIE 900 (Spring 2024) -
Survey Optimization Meth
SIE 440 (Spring 2024) -
Survey Optimization Meth
SIE 540 (Spring 2024) -
Deterministic Oper Rsrch
SIE 340 (Fall 2023) -
Directed Research
SIE 492 (Fall 2023) -
Dissertation
SIE 920 (Fall 2023) -
Internship
SIE 493 (Fall 2023) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2023)
2022-23 Courses
-
Internship
SIE 493 (Summer I 2023) -
Deterministic Oper Rsrch
SIE 340 (Spring 2023) -
Dissertation
SIE 920 (Spring 2023) -
Internship
SIE 493 (Spring 2023) -
Survey Optimization Meth
SIE 440 (Spring 2023) -
Survey Optimization Meth
SIE 540 (Spring 2023) -
Deterministic Oper Rsrch
SIE 340 (Fall 2022) -
Dissertation
SIE 920 (Fall 2022) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2022) -
Research
SIE 900 (Fall 2022)
2021-22 Courses
-
Internship
SIE 493 (Summer I 2022) -
Internship
SIE 593 (Summer I 2022) -
Deterministic Oper Rsrch
SIE 340 (Spring 2022) -
Dissertation
SIE 920 (Spring 2022) -
Independent Study
SIE 599 (Spring 2022) -
Integer + Comb Optimiz
SIE 644 (Spring 2022) -
Intro SIE Mth:Linear Prg
SIE 500C (Spring 2022) -
Research
SIE 900 (Spring 2022) -
Survey Optimization Meth
SIE 440 (Spring 2022) -
Survey Optimization Meth
SIE 540 (Spring 2022) -
Deterministic Oper Rsrch
SIE 340 (Fall 2021) -
Independent Study
SIE 599 (Fall 2021) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2021) -
Research
SIE 900 (Fall 2021)
2020-21 Courses
-
Dissertation
SIE 920 (Summer I 2021) -
Deterministic Oper Rsrch
SIE 340 (Spring 2021) -
Dissertation
SIE 920 (Spring 2021) -
Intro SIE Mth:Linear Prg
SIE 500C (Spring 2021) -
Research
SIE 900 (Spring 2021) -
Survey Optimization Meth
SIE 440 (Spring 2021) -
Survey Optimization Meth
SIE 540 (Spring 2021) -
Deterministic Oper Rsrch
SIE 340 (Fall 2020) -
Dissertation
SIE 920 (Fall 2020) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2020) -
Research
SIE 900 (Fall 2020)
2019-20 Courses
-
Deterministic Oper Rsrch
SIE 340 (Summer I 2020) -
Deterministic Oper Rsrch
SIE 340 (Spring 2020) -
Dissertation
SIE 920 (Spring 2020) -
Intro SIE Mth:Linear Prg
SIE 500C (Spring 2020) -
Research
SIE 900 (Spring 2020) -
Survey Optimization Meth
SIE 440 (Spring 2020) -
Survey Optimization Meth
SIE 540 (Spring 2020) -
Deterministic Oper Rsrch
SIE 340 (Fall 2019) -
Dissertation
SIE 920 (Fall 2019) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2019)
2018-19 Courses
-
Dissertation
SIE 920 (Spring 2019) -
Internship
SIE 593 (Spring 2019) -
Master's Report
SIE 909 (Spring 2019) -
Nonlinear Optimization
SIE 645 (Spring 2019) -
Thesis
STAT 910 (Spring 2019) -
Deterministic Oper Rsrch
SIE 340 (Fall 2018) -
Dissertation
MATH 920 (Fall 2018) -
Dissertation
SIE 920 (Fall 2018) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2018)
2017-18 Courses
-
Dissertation
MATH 920 (Spring 2018) -
Dissertation
SIE 920 (Spring 2018) -
Master's Report
SIE 909 (Spring 2018) -
Research
SIE 900 (Spring 2018) -
Survey Optimization Meth
SIE 440 (Spring 2018) -
Survey Optimization Meth
SIE 540 (Spring 2018) -
Deterministic Oper Rsrch
SIE 340 (Fall 2017) -
Dissertation
MATH 920 (Fall 2017) -
Dissertation
SIE 920 (Fall 2017) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2017) -
Master's Report
SIE 909 (Fall 2017) -
Research
SIE 900 (Fall 2017)
2016-17 Courses
-
Master's Report
SIE 909 (Summer I 2017) -
Research
SIE 900 (Summer I 2017) -
Dissertation
MATH 920 (Spring 2017) -
Dissertation
SIE 920 (Spring 2017) -
Integer + Comb Optimiz
SIE 644 (Spring 2017) -
Master's Report
SIE 909 (Spring 2017) -
Research
SIE 900 (Spring 2017) -
Survey Optimization Meth
SIE 440 (Spring 2017) -
Survey Optimization Meth
SIE 540 (Spring 2017) -
Deterministic Oper Rsrch
SIE 340 (Fall 2016) -
Dissertation
SIE 920 (Fall 2016) -
Intro SIE Mth:Linear Prg
SIE 500C (Fall 2016) -
Master's Report
SIE 909 (Fall 2016) -
Research
SIE 900 (Fall 2016) -
Thesis
SIE 910 (Fall 2016)
2015-16 Courses
-
Survey Optimization Meth
SIE 440 (Spring 2016) -
Survey Optimization Meth
SIE 540 (Spring 2016) -
Thesis
SIE 910 (Spring 2016)
Scholarly Contributions
Journals/Publications
- Chen, X., Liu, Y., Fan, N., & Wu, L. (2025).
An operating profit-oriented medium-term planning method for renewable-integrated cascaded hydropower
. Energy, 338, 138686. doi:10.1016/j.energy.2025.138686 - Chen, X., Liu, Y., Zhong, Z., Fan, N., Zhao, Z., & Wu, L. (2025).
A carryover storage quantification framework for medium-term cascaded hydropower planning: a Portland General Electric system study
. IEEE Transactions on Sustainable Energy, 16(3), 1903--1918. doi:10.1109/TSTE.2025.3540923 - Mahdavimanshadi, M., & Fan, N. (2025).
Multistage stochastic optimization for semi-arid farm crop rotation and water irrigation scheduling under drought scenarios
. Journal of Agricultural, Biological and Environmental Statistics, 30(2), 310--333. doi:10.1007/s13253-024-00651-9 - Tang, G., & Fan, N. (2025).
Solution path algorithm for double margin support vector machines
. Information Systems Frontiers. doi:10.1007/s10796-025-10612-3 - Washburn, A., Fan, N., & Zhang, H. (2025).
Novel SVM-based classification approaches for evaluating pancreatic carcinoma
. Annals of Mathematics and Artificial Intelligence, 16(3), 1903--1918. doi:10.1007/s10472-023-09888-5 - Mahdavimanshadi, M., Yao, S., & Fan, N. (2024).
Optimal guayule harvest planning and machinery scheduling under drought scenarios in semi-arid farms
. Smart Agricultural Technology, 7, 100420. doi:10.1016/j.atech.2024.100420 - Tang, G., & Fan, N. (2024).
Solution path algorithm for distributionally robust regression
. Optimization, 73, 3275--3296. doi:10.1080/02331934.2024.2341938 - Yao, S., Fan, N., & Krokhmal, P. (2024).
Minimizing the influence spread over a network through node interception
. Optimization Letters, 18, 1361--1382. doi:10.1007/s11590-024-02117-w - Zhong, Z., Fan, N., & Wu, L. (2024). Multistage robust optimization for the day-ahead scheduling of hybrid thermal-hydro-wind-solar systems. Journal of Global Optimization, 88, 999--1034. doi:10.1007/s10898-023-01328-2
- Zhong, Z., Fan, N., & Wu, L. (2024). Multistage stochastic optimization for mid-term integrated generation and maintenance scheduling of cascaded hydroelectric system with renewable energy uncertainty. European Journal of Operational Research, 318(1), 179--199. doi:10.1016/j.ejor.2024.05.011
- Ruiz Duarte, J., & Fan, N. (2023). Operations of data centers with onsite renewables considering greenhouse gas emissions. Sustainable Computing: Informatics and Systems, 40, 100903. doi:10.1016/j.suscom.2023.100903
- Zhong, Z., Fan, N., & Wu, L. (2023). A hybrid robust-stochastic optimization approach for day-ahead scheduling of cascaded hydroelectric systems in restructured electricity market. European Journal of Operational Research, 306(2), 909--926. doi:10.1016/j.ejor.2022.06.061
- Zuniga Vazquez, D., Qiu, F., Fan, N., & Sharp, K. (2022). Wildfire mitigation plans in power systems: a literature review. IEEE Transactions on Power Systems, 37(5), 3540--3551. doi:10.1109/TPWRS.2022.3142086
- 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, 11, 181--191. 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., Fan, N., Teegerstrom, T., Seavert, C., Summers, H., Sproul, E., & Quinn, J. (2021). Optimal production planning and machinery scheduling for semi-arid farms. Computers and Electronics in Agriculture, 187, 106288. doi:10.1016/j.compag.2021.106288
- 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
- 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
- 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
- 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
- Wang, X., Fan, N., & Pardalos, P. M. (2017). Stochastic subgradient descent method for large-scale robust chance-constrained support vector machines. Optimization Letters, 11(5), 1013–1024. doi:10.1007/s11590-016-1026-4
- Zhang, P., & Fan, N. (2017). Analysis of budget for interdiction on multicommodity network flows. Journal of Global Optimization, 67(3), 495-525. doi:10.1007/s10898-016-0422-8
- Zhang, P., Fan, N., & Liu, W. (2017). Mixed integer programming with dose-volume constraints in intensity-modulated 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 one-mode, unsigned, deterministic networks using integer programming and structural equivalence. Social Networks, 47, 93--106.
- Sadeghi, E., & Fan, N. (2016). On the minimum-cost lambda-edge-connected k-subgraph problem. Computational Management Science, 13(4), 571–596. doi:10.1007/s10287-016-0260-7
- Fan, N., & Watson, J. (2015). On integer programming models for the multi-channel PMU placement problem and their solution. Energy Systems, 6(1), 1--19.
- Chen, R. L., Cohn, A., Fan, N., & Pinar, A. (2014). Contingency-risk informed power system design. IEEE Transactions on Power Systems, 29(5), 2087--2096.
- Golari, M., Fan, N., & Wang, J. (2014). Two-stage stochastic optimal islanding operations under severe multiple contingencies in power grids. Electric Power Systems Research, 114, 68--77.
- Huang, Y., Zheng, Q. P., Fan, N., & Aminian, K. (2014). Optimal scheduling for enhanced coal bed methane production through CO 2 injection. Applied Energy, 113, 1475--1483.
- Fan, N., & Pardalos, P. M. (2012). Multi-way clustering and biclustering by the Ratio cut and Normalized cut in graphs. Journal of combinatorial optimization, 23(2), 224--251.
- Fan, N., Izraelevitz, D., Pan, F., Pardalos, P. M., & Wang, J. (2012). A mixed integer programming approach for optimal power grid intentional islanding. Energy Systems, 3(1), 77--93.
- Fan, N., Zheng, Q. P., & Pardalos, P. M. (2012). Robust optimization of graph partitioning involving interval uncertainty. Theoretical Computer Science, 447, 53--61.
- Liu, H., Fan, N., & Pardalos, P. M. (2012). Generalized lagrange function and generalized weak saddle points for a class of multiobjective fractional optimal control problems. Journal of Optimization Theory and Applications, 154(2), 370--381.
- Fan, N., & Pardalos, P. M. (2011). A rearrangement of adjacency matrix based approach for solving the crossing minimization problem. Journal of combinatorial optimization, 22(4), 747--762.
- Fan, N., Xu, H., Pan, F., & Pardalos, P. M. (2011). Economic analysis of the N- k power grid contingency selection and evaluation by graph algorithms and interdiction methods. Energy Systems, 2(3-4), 313--324.
- Fan, N., & Pardalos, P. M. (2010). Linear and quadratic programming approaches for the general graph partitioning problem. Journal of Global Optimization, 48(1), 57--71.
