ABOUT ME
I am an Assistant Professor at the Department of Systems Engineering and Engineering Management at the University of North Carolina at Charlotte. Before joining UNC Charlotte, I served as a postdoctoral fellow at Institute for Mathematics and Its Applications at University of Minnesota from August 2017 to July 2019. I received my Ph.D. from the Department of Business Analytics at the University of Iowa in May 2017 under the mentorship of Dr. Samuel Burer.
EDUCATION
RESEARCH INTERESTS
Operations Research and Decision Analytics
Convex optimization, semidefinite optimization, copositive optimization, stochastic optimization
2012 - 2017, University of Iowa
Ph.D. in Management Sciences
Thesis advisor: Dr. Samuel Burer
Data-Driven and Adaptive Decision Making
Distributionally robust optimization, multi-stage
robust optimization, dynamic optimization
Healthcare and Energy Analytics
Personalized medicine, dynamic treatment regime, power system resilience enhancement
2010 - 2012, University of Iowa
M.S. in Industrial Engineering
Thesis advisor: Dr. Andrew Kusiak
2001 - 2007, Dalian University of Technology
M.S. in Management Science
B.S. in Metal Material Engineering
TEACHING EXPERIENCE
Spring 2020
Fundamentals of Stochastic System Analysis, Department of Systems Engineering and Engineering Management,
the University of North Carolina at Charlotte
Fall 2019
Fundamentals of Engineering Management, Department of Systems Engineering and Engineering Management,
the University of North Carolina at Charlotte
Summer 2019
Optimization and modeling, Institute for Mathematics and Its Applications, the University of Minnesota
Fall 2016, 2014
Operations management, Department of Business Analytics, the University of Iowa
INVITED TALKS
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TBD, INFORMS Optimization Society Meeting, Greenville SC, March 2020
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Data-Driven Decision Making and Its Applications in Wireless Sensor Networks, Department of Information Systems and Analytics, Miami University, OH, November 2019
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Zeroth-and First-Order Stochastic Methods for Large-Scale Distributionally Robust Optimization, INFORMS Annual Meeting, Seattle WA, October 2019
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Distributionally Robust Optimization with Confidence Bands for Probability Density Functions, INFORMS Annual Meeting, Seattle WA, October 2019
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Multi-Stage Robust Optimization via Copositive Programming, School of Mathematical and Statistical Sci- ences, Clemson University, SC, September 2019
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Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls, Department of Indus- trial and Systems Engineering, North Carolina State University, NC, January 2019
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Improved Decision Rule Approximations for Multi-Stage Robust Optimization, Department of Business An- alytics, University of Iowa, Iowa City, IA, December 2018
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A Data-Driven Distributionally Robust Optimization Approach for Appointment Scheduling with Random Service Durations and No-Shows, INFORMS Annual Meeting, Phoenix, AZ, November 2018
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A Data-Driven Distributionally Robust Optimization Approach for Appointment Scheduling with Random Service Durations and No-Shows, MOPTA 2018, Bethlehem, PA, August 2018
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Distributionally Robust Optimization with Confidence Bands for Probability Density Functions, 29th European Conference on Operational Research, Valencia, Spain, July 2018
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A Conic Programming Reformulation of Decision Rule Problems in Multi-Stage Adjustable Robust Linear Optimization, Twenty-Third International Symposium on Mathematical Programming, Bor- deaux, France, July 2018
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A Conic Approach for Two-Stage Adjustable Robust Linear Optimization, INFORMS Optimization Society Meeting, Denver, CO, March 2018
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A Data-driven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 0-1 Linear Programming, INFORMS Optimization Society Meeting, Denver, CO, March 2018
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A Data-driven Distributionally Robust Bound on the Expected Optimal Value of Uncertain Mixed 0-1 Linear Programming, INFORMS Annual Meeting, Houston, October 2017
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A Copositive Approach for Two-Stage Adjustable Robust Optimization with Uncertain Right-Hand Sides, 15th EUROPT Workshop on Advances in Continuous Optimization, Montr ́eal, July 2017
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Shape-Constrained Distributionally Robust Optimization, SIAM Conference on Optimization, Van- couver, May 2017
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Two-Stage Adjustable Robust Linear Optimization: A Copositive Programming Perspective, Jakob- sen Memorial Conference, Iowa City, IA, March 2017
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A Copositive Perspective on Two-Stage Adjustable Robust Linear Programming, INFORMS Annual Meeting, Nashville, TN, November 2016
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Improving the Affine Policy in Two-Stage Adjustable Robust Linear Programming with Uncertain Right-Hand Side, MOPTA 2016, Bethlehem, PA, August 2016
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Robust Sensitivity Analysis in the Optimal Value of Linear Programming, Jakobsen Memorial Con- ference, Iowa City, IA, March 2016
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RobustSensitivityAnalysisoftheOptimalValueofLinearProgramming,INFORMSAnnualMeeting, Philadelphia, PA, November 2015
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Robust Sensitivity Analysis of the Optimal Value of Linear Programming, The 3rd Annual Meeting of the Mathematical Modeling and Optimization Conference Institution, Shalimar, FL, July 2015
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Robust Sensitivity Analysis of the Optimal Value of Linear Programming, Twenty-Second Interna- tional Symposium on Mathematical Programming, Pittsburgh, PA, July 2015
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Robust Sensitivity Analysis for Linear Programming, COR@L Seminar at the Industrial and Systems Engineering (ISE) Department, Lehigh University, Bethlehem, PA, March, 2015
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Tight Relaxations of Non-Convex Quadratic Programs in Robust Sensitivity Analysis, INFORMS Annual Meeting, San Francisco, CA, November 2014
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A Branch-and-Bound Algorithm for Instrumental Variable Quantile Regression, MOPTA 2014, Beth- lehem, PA, August 2014
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Solving a Partial Inverse Optimization Problem via QP-Based Branch and Bound, The 3rd SIAM Gators Student Conference, Gainesville, FL, March 2014
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Solving Two Inverse Optimization Problems via Quadratic Branch-and-Bound, INFORMS Annual Meeting, Minneapolis, MN, October 2013