معرفی
Recep Bekci is an Assistant Professor of Operations Research in the Department of Management Science and Engineering at the University of Waterloo. His research focuses on developing data-driven optimization models for decision-making under uncertainty, with applications in supply chain management, revenue management, and inventory control. He holds a Ph.D. in Operations Management from McGill University (2023) and a BSc in Industrial Engineering from Bilkent University.
Education Background:
- Ph.D., Operations Management, McGill University, 2023
- B.Sc., Industrial Engineering, Bilkent University
Research Interests: Specializes in integrating machine learning with operations research methodologies. Recent work includes:
- Image-based sales forecasting for fast-fashion using CNNs
- Genomic mutation analysis via graph neural networks
- Risk-averse revenue management frameworks
- Dynamic inventory control with censored demand data
Teaching Experience:
- MSCI 609: Quantitative Data Analysis (University of Waterloo, 2024)
- MSCI 131: Work Design and Facilities Planning (University of Waterloo, 2024)
- MGCR 472: Operations Management (McGill University, 2022)
Industry Collaboration: Partnered with companies like Koton (Europe's largest fast-fashion retailer), Aviva-Sa Insurance, and Turkish Aerospace Industries to implement optimization solutions.
