Dr. Gbeminiyi John Oyewole
About Dr. Gbeminiyi John Oyewole
A problem-solving and passionate researcher and teacher in the field of operations research, business analytics, industrial engineering, operations/engineering management, optimization, and predictive analytics (planning, researching, modeling, solving optimization problems).
Dr. Oyewole's teaching philosophy centers on bridging theoretical principles with practical industrial applications, preparing students to think critically and solve complex engineering/operations management problems. Dr. Oyewole has over 8 years of experience teaching a wide range of undergraduate and graduate courses in Industrial Engineering and Engineering Management, mentoring research students, preparing grant applications, and contributing to curriculum development within and outside the United States.
Dr. Oyewole has worked in the manufacturing, logistics, and transportation sectors in both the United States and internationally, including roles with FGF Brands LLC, FedEx, and Candel Agrochemicals. As a faculty member, he hopes to create a platform where students of different races and ethnicities can express themselves and exchange perspectives on teaching and research with their peers.
Education
- Postdoc Engineering Management, University of Pretoria, Pretoria
- Ph.D. Industrial Engineering, University of Pretoria, Pretoria
- M.Sc. Industrial and Production Engineering, University of Ibadan, Nigeria
Credentials
- Professional Engineer with the Engineering Council of South Africa (ECSA)
Affiliations
- Member of Industrial Engineering and Operations Management Society (IEOM)
Research at a Glance
Summary
Dr. Oyewole's research interests include applied optimization, predictive analytics, operations research, simulation modeling, supply chain management, and data analytics, with applications in agriculture, energy, logistics, transportation, infrastructure maintenance, and related industries. He is committed to advancing data-driven decision-making through interdisciplinary research and industry collaboration to address complex operational and societal challenges.
Areas of Expertise
- Operations Research
- Mathematical Optimization
- Simulation Modelling
- Engineering Management
- Network Modelling and Optimization
Selected Publications
- Oyewole, G.J. and Thopil, G.A., 2023. Data clustering: application and trends. Artificial Intelligence Review, Volume 56, pages 6439–6475, (2023)
Teaching
Courses Taught
- Operations Research
- Quality control and Improvement
- Advanced Engineering Economics
- Advanced Logistics and Supply Chain
- Ethics in Engineering
Teaching Interests
- Network Modelling with applications in Logistics, Supply chain
- Operations research
- Engineering Management
- Introduction to Machine learning
- Decision support systems and machine learning