
معرفی
Aram Bahrini is a Teaching Assistant Professor and Deloitte Scholar at the Gies College of Business (University of Illinois at Urbana-Champaign), holding an Assistant Professor rank in Business Administration. His research focuses on mathematical modeling, optimization, game theory, and machine learning applied to resource management, healthcare systems, and supply chain operations.
Education:
- Ph.D., Systems Engineering, University of Virginia (2023)
- M.S., Mathematics, University of British Columbia (2019)
- M.S., Industrial & Manufacturing Systems Engineering, Kansas State University (2017)
Research Interests:
- Methods: Mathematical modeling, optimization, machine learning, game theory
- Applications: Supply chain management, healthcare analytics, business intelligence, renewable energy forecasting
Key Contributions:
His work spans predictive healthcare analytics, sustainable supply chain optimization, and AI ethics in hiring. Notable projects include developing XGBoost-based energy consumption models and analyzing post-pandemic patient flow in healthcare clinics.
Awards & Service:
- Recipient of Teachers Ranked as Excellent (UIUC, 2023)
- Session chair for IEEE SIEDS (2022–2024) and INFORMS Annual Meeting (2023–2024)
- Ad Hoc reviewer for over 30 journals including European Journal of Operational Research and IEEE Transactions on Industrial Informatics
Teaching:
- Courses: BADM 210/211 (Business Analytics), BADM 378 (Logistics Management), BADM 453 (Business Intelligence)
Labs & Teams:
Active in systems engineering and data science collaborations at the University of Virginia's Link Lab and UIUC's Business Analytics group.
Aram Bahrini در سایتهای دیگر
جستوجوهای مرتبط
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