FACULTY PROFILE

Lihui Bai

Assistant Professor of Information and Decision Sciences

225 Urschel Hall
464-5188

Website

http://faculty.valpo.edu/lbai


Biography

Dr. Bai, a native of China, joined the College of Business Administration at Valpo in 2004 upon completion of her Ph.D. in Industrial and Systmes Engineering at the University of Florida. She teaches courses such as Business Statistics, Management Sciences and Business Spreadsheet Applications.

Dr. Bai's research interests include transportation science, congestion pricing and computational optimization. She is also interested in modelling in supply chain management. He has published research papers in journals such as Networks and Academy of Information and Management Sciences Journal; and pedagogical papers in journals such as Journal of Economics and Economic Education Research and Journal of the International Academy of Case Studies. She is currently a member of INFORMS and DSI.

Education

Ph.D. in Industrial and Systems Engineering - University of Florida 2004
M.S. in Computational Mathematics - Chinese Academy of Sciences, Beijing, China 1999
B.S. in Computational Mathematics - Inner Mongolia University, Hehehaote, China 1994

Courses Taught

IDS205: Business Statistics
IDS110: Business Spreadsheet Applications
IDS111: Business Programming
IDS493: Seminar in Applied Statistics
IDS320: Management Science
MBA540: Managerial Statistics

Research Interests

Transportation Science; Congestion Pricing; Computational Optimization; Modelling in Supply Chain Management

Publications

  • Networks
    - Decomposition Techniques for the Minimum Toll Revenue Problem (2004)
  • Journal of Economics and Economic Education Research
    - The Case of Simulating the Choices of Money Mangers By Applying Modern Portfolio Theory Using Real Stock Price Data (forthcoming)
  • Journal of the International Academy of Case Studies
    - Optimizing the Advertising Budget for a Regional Business: the Case of Cycle World (forthcoming)
  • Academy of Information and Management Sciences Journal
    - An Evolutionary Method for the Minimum Toll Booth Problem (forthcoming)

Professional Affiliations

  • Institute for Operations Research and Management Sciences
  • Decision Sciences Institute