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Faculty

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The Faculty in Quantitative Methods Area:

  • Andy Alexander: Ph.D. from Purdue University (2014); areas of interests: parameter analysis in decision modeling, statistical quality control, contract design and analysis in manufacturing and maintenance systems, data science, big data, operations research, sports analytics, and optimization
  • Gary Evans: Ph.D. from University of California, Los Angeles (2014); areas of interest: multivariate analysis, optimization algorithms, and statistics education
  • Matthew A. Lanham: Ph.D. from Virginia Tech (2016); areas of interests: big data analytics and data science, choice modeling and demand forecasting, decision support systems, assortment planning, multi-echelon inventory optimization, and supply chain information systems
  • Yanjun Li: Ph.D. from Carnegie Mellon University (2002); areas of interests: combinatorial optimization, integer programming, polyhedral theory, polynomial-time algorithms, and complexity analysis
  • Thanh Nguyen: Ph.D. from Cornell University (2010); areas of interests: optimization, game theory, market design and its applications
  • Robert D. Plante: Ph.D. from University of Georgia (1980); areas of interests: statistical quality control and improvement with focus on robust product/process design, screening procedures for process control and improvement, statistical/process/dynamic process control models, and specialized process improvement problems
  • Jen Tang: Ph.D. from Bowling Green State University (1981); areas of interests: multivariate statistical analysis, bootstrap method, statistical computing, applied diffusion processes, statistical process control and engineering control, data mining, reliability and degradation tests, and stochastic models in operations research/management
  • Mohit Tawarmalani: Ph.D. from University of Illinois at Urbana-Champaign (2001); areas of interests: mathematical programming, complexity and approximation, symbolic computing, global optimization theory, algorithms and software, applications and models in business, economics, systems, engineering design, and molecular design
  • Jiaming Xu: Ph.D. from University of Illinois at Urbana-Champaign (2014); areas of interests: network science, machine learning, high-dimensional statistical inference, information theory, optimization, stochastic systems, game theory, mean-field theory, communications and networking