Omar Besbes
Scholar

Omar Besbes

Google Scholar ID: sao65cAAAAAJ
Columbia University
Data-Driven AlgorithmsMarketplacesOperationsPricing
Citations & Impact
All-time
Citations
3,616
 
H-index
27
 
i10-index
41
 
Publications
20
 
Co-authors
30
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Robust Auction Design with Support Information, Management Science (forthcoming)
  • Beyond IID: Data-Driven Decision-Making in Heterogeneous Environments, Management Science (forthcoming)
  • On the Robustness of Second-Price Auctions in Prior-Independent Mechanism Design, Operations Research (forthcoming)
  • Effective Wages under Workforce Scheduling with Heterogeneous Time Preferences, Manufacturing & Service Operations Management (forthcoming)
  • Dynamic Resource Allocation: Algorithmic Design Principles and Spectrum of Achievable Performances, Operations Research (forthcoming)
  • Contextual Inverse Optimization: Offline and Online Learning, Operations Research (articles online)
  • How Big Should Your Data Really Be? Data-Driven Newsvendor: Learning One Sample at a Time, Management Science (articles online)
  • Survey of Dynamic Resource Constrained Reward Collection Problems: Unified Model and Analysis, Operations Research (articles online)
  • Optimal Pricing with a Single Point, Management Science (articles online)
  • Mechanism Design with Approximate Incentive Compatibility, Operations Research (articles online)
  • Shapley Meets Uniform: an Axiomatic Framework for Attribution in Online Advertising, Management Science (forthcoming)
  • The Exploration-Exploitation tradeoff in the Newsvendor Problem, Stochastic Systems (forthcoming)
  • Pricing with Samples, Operations Research, 2022, 70 (2), 1088-1104
  • Spatial Capacity Planning, Operations Research, 2022, 70 (2), 1271-1291
  • Static Pricing: Universal Guarantees for Reusable Resources, Operations Research, 2022, 70 (2), 1143-115
  • Surge Pricing and its Spatial Supply Response, Management Science, 2021, 67 (3), 1350-1367
  • Prior-Independent Optimal Auctions, Management Science, 2020, 66 (10), 4417-4432
  • Pricing Analytics for Rotable Spare Parts, INFORMS Journal on Applied Analytics, 2020, 50 (5), 313-324
Research Experience
  • Lead or co-author in multiple research projects covering areas such as auction design, data-driven decision-making, dynamic resource allocation, and more.
Background
  • Vikram S. Pandit Professor, Decision, Risk & Operations, Columbia University, Graduate School of Business.