معرفی
Ismail Abdulrashid is an Assistant Professor of Data Analytics in the School of Finance and Operations Management at The University of Tulsa, affiliated with the College of Engineering & Natural Sciences. He contributes to interdisciplinary research at the intersection of operations research, healthcare, and artificial intelligence.
Education:
- Ph.D. in Operations Research, Auburn University
- M.S. in Data Science, Auburn University
- M.S. in Mathematics, African University of Science and Technology
- B.A. in Mathematics, Bayero University, Nigeria
Dr. Abdulrashid's research focuses on Healthcare Analytics, Population Health, Transportation and Logistics, and Artificial Intelligence. His work applies advanced mathematical modeling and data science techniques to solve complex real-world problems in healthcare delivery, supply chain resilience, and urban logistics. He leverages operations research and machine learning to optimize systems under uncertainty.
His publications span high-impact journals such as the European Journal of Operational Research and Healthcare Analytics, reflecting a strong trend in applying optimization and AI to healthcare operations, chemotherapy modeling, and sustainable logistics. The research demonstrates a consistent focus on dynamic systems, time delays, and stochastic environments.
Scientific Awards and Honors:
- Nominated for the Mayo Teaching Excellence Award, The University of Tulsa, Feb 2024
- Outstanding International Student Award, Auburn University, Apr 2019
- Teaching Citations Award in Applied Statistics, Auburn University, Nov. 2018
- Kevin Doheny Fellowship, Auburn University, December 2017
- Best Graduate Student Award in Mathematics, African University, May 2013
- Best Undergraduate Student Award, Bayero University-Nigeria, March 2011
Dr. Abdulrashid has received research and teaching recognition, including competitive fellowships and teaching awards. While specific grant details are not listed, his fellowship support and publication record suggest active engagement in funded research. He advises students in data analytics and operations research, though specific advisees are not named. His work bridges theoretical modeling with practical applications in health and logistics systems.
