Neng Fan is an assistant professor in systems and industrial engineering. His research focuses on the methodology of mathematical optimization, data mining, machine learning, and their applications in energy/water systems modeling and optimization, renewable energy integration, and healthcare management.
N. Fan, J.-P. Watson, On integer programming models for the multi-channel PMU placement problem and their solution, Energy Systems, DOI: 10.1007/s12667-014-0132-6, 2014.
M. Golari, N. Fan, J.Wang, Two-stage stochastic optimal islanding operations under severe multiple contingencies in power grids, Electric Power Systems Research, Vol. 114, pp 68–77, 2014.
Y. Huang, Q. Zheng, N. Fan, K. Aminian, Optimal scheduling for enhanced coal bed methane production through CO2 injection, Applied Energy, vol. 113, pp 1475-1483, 2014.
R. Chen, A. Cohn, N. Fan, A. Pinar, Contingency-risk informed power system design, IEEE Trans. Power Systems, vol. 29(5), pp 2087–2096, 2014.
N. Fan, E. Sadeghi, P.M. Pardalos, Robust support vector machines with polyhedral uncertainty of the input data, In: P.M. Pardalos et al. (eds.): Learning and Intelligent OptimizatioN, (LION 2014), pp. 291–305, Lecture Notes in Computer Science Vol. 8426, 2014.