Neng Fan is an associate professor in the Systems and Industrial Engineering Department at the University of Arizona. He obtained his bachelor’s degree in computational mathematics from Wuhan University in 2004 and master’s degree in applied mathematics from Nankai University in 2007. He obtained his master’s and PhD degrees from the Industrial and Systems Engineering Department at the University of Florida in 2009 and 2011, respectively.

Fan’s research interests include integer programming, stochastic and robust optimization methods, and their applications in data mining, combinatorial optimization, energy systems, water systems, and health care. He has been involved in organizing several conferences in the areas of optimization, smart grids, and health care, and also served as a reviewer for many journals. Currently, he is the associate editor for two journals, Optimization Letters and Energy Systems, published by Springer.

Fan is a member of the Institute for Operations Research and Management Sciences (INFORMS) and the Institute of Industrial Engineering (IIE).

Degrees:

  • PhD Industrial and Systems Engineering - University of Florida, 2011
  • MS Industrial and Systems Engineering - University of Florida, 2009
  • MS Applied Mathematics - Nankai University, 2007
  • BS Computational Mathematics - Wuhan University, 2004

Teaching Interests: Optimization, operations research, probability, statistics, data analytics, and machine learning

Research Interests: Methodologies in optimization: integer programming, combinatorial optimization, stochastic programming, robust optimization, multilevel programming, and large-scale optimization; applied operations research: energy systems, water systems, renewable energy integration, interdependent infrastructures, healthcare and sustainable agriculture; data analytics: data mining, machine learning, and high-dimensional data with uncertainties