Hamoud Sultan BinObaid
Arabia. He received a B.S. degree in Industrial Engineering from King Saud University, a M.S. degree in
Industrial Engineering from University of Pittsburgh (PITT), and received a Ph.D. degree from the
university of Oklahoma majoring in Industrial and Systems Engineering. His research interest is in the
area of Operations Research. More specifically in mathematical programming and multicriteria
optimization. His current work is in the fairness in resource allocation, the optimization of flow networks,
and decision making.
Personal Details:
Email : hsbinobaid@ksu.edu.sa
Research Gate : https://www.researchgate.net/profile/Hamoud_Bin_Obaid
Google Scholar : https://scholar.google.com/citations?user=cYL10MIAAAAJ&hl=en
Address Industrial Engineering Department
College of Engineering, King Saud University P O Box 800
Riyadh 11421
Kingdom of Saudi Arabia
:Biography
Dr. Hamoud Bin Obaid is an assistnat professor at King Saud University (KSU) in Riyadh, Saudi
Arabia. He received a B.S. degree in Industrial Engineering from King Saud University, a M.S. degree in
Industrial Engineering from University of Pittsburgh (PITT), and received a Ph.D. degree from the
university of Oklahoma majoring in Industrial and Systems Engineering. His research interest is in the
area of Operations Research. More specifically in mathematical programming and multicriteria
optimization. His current work is in the fairness in resource allocation, the optimization of flow networks,
and decision making.
Educational Qualification:
University of Oklahoma - Gallogly College of Engineering – Industrial and Systems Engineering Department
Ph.D.’s Degree in Industrial and Systems Engineering 2015- 2020
University of Pittsburgh - Swanson School of Engineering - Industrial Engineering Department
Master’s Degree in industrial engineering 2013- 2015
King Saud University – College of Engineering - Industrial Engineering Department
Bachelor degree in industrial engineering 2006-2011
Publications:
Obaid, H. S. B., & Trafalis, T. B. (2020). An approximation to max min fairness in multi commodity networks. Computational Management Science, 17(1), 65-77.
Bin-Obaid, H. S., & Trafalis, T. B. (2018, May). Fairness in Resource Allocation: Foundation and Applications. In International Conference on Network Analysis (pp. 3-18). Springer, Cham.
Obaid, H. B., & Trafalis, T. B. (2016, May). Linear Max-Min Fairness in Multi-commodity Flow Networks. In International Conference on Network Analysis (pp. 3-10). Springer, Cham.
Teaching:
IE222 Industrial Operations Analysis (Operations Research I)
IE420 Industrial Systems Simulation
IE469 Manufacturing Systems
IE471 Manufacturing Systems Design
Awards:
Best dissertation award by the Industrial and Systems Engineering, University of Oklahoma 2020
Best Capstone Project by the Industrial Engineering department, King Saud University 2011