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Quantitative Methods Area

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

  • Cagri Haksoz: Ph.D. from New York University (2004); areas of interests: risk intelligence, supply chain risk, behavioral decision making, data mining, and simulation modeling

  • 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

  • Will Wei Sun: Ph.D. from Purdue University (2015); areas of interests: Machine Learning: reinforcement learning (multi-armed bandits), deep learning (interpretable convolutional neural networks, deep generative adversarial network on graphs); tensor learning; non-convex optimization. Data Science: computational advertising

  • 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

  • Zhiwei Zhu: Ph.D. from Michigan State University (2001); areas of interests: applied statistics, decision sciences, business communication, analytics strategy and leadership, data infrastructure and governance, and business intelligence