Personal profile

About

Haitao Li’s areas of research include optimization modeling, simulation, and algorithm design in the application areas of supply chain optimization, resource allocation and routing/scheduling. He has worked as a statistical analyst at the Naval Personnel Research, Study and Technology (NPRST) in Millington, TN, and he was a visiting scholar at the Hewlett-Packard Laboratory (HP Lab) in Palo Alto, CA. He has also worked as a research consultant at the NPRST on the Navy's Shipboard Manpower Optimization Project. Dr. Li has extensive experience in linear and integer programming modeling, combinatorial optimization, statistical analysis, and hybrid algorithm design. Li has published in journals such as Decision Sciences, European Journal of Operational Research, Omega, Journal of the Operational Research Society, Computers and OR, Interfaces, Military Operations Research, Journal of Scheduling, and Annals of Operations Research, among others. He was a recipient of the Young Investigator Award from the US Army Research Office (ARO) in 2010, the Douglas Durand Award for Research Excellence of UMSL in 2015. With two U.S. Patent applications and a number of invention disclosures, he was named 2015 UMSL Inventor of The Year. Dr. Li currently serves as Associate Editor of the Journal of the Operational Research Society, and Editorial Board member of the International Journal of Project Management.

Contact Information

Phone: 314-516-5890

Related documents

Education/Academic qualification

Production and Operations Management, PhD, University of Mississippi

20002005

Industrial Foreign Trade, BA, Beihang University

19952000

Research Interests

  • Algorithm Design
  • Bayesian (Nonparametric) Methods
  • Data Mining
  • Optimization
  • Predictive Analytics
  • Predictive Modeling
  • Business Forecasting
  • Cost Benefit Analysis
  • Math Programming
  • Metaheuristics
  • Optimization Methods
  • Prescriptive Analytics
  • Python
  • R
  • SAS
  • SPSS
  • Constraint Programming
  • Stochastic Modeling and Optimization

Disciplines

  • Business Administration, Management, and Operations
  • Economics