Short Bio

I am a doctoral student in the group of Prof. Jalal Etesami. My specific research objectives involve bridging the gap between operations research and machine learning, and finding novel applications in the various areas of applied multi-agent systems.​​​​ Here is my biographical website.

My research interests include:

• Methods:
  • Stochastic Decision Processes
  • Reinforcement Learning
  • Game Theory
• Applications:
  • Operations Management
  • Multi-Agent Systems
  • Platform Economics

Publications

Google Scholar/ DBLP

Teaching

If my research area excites you, feel free to reach out to discuss potential avenues of collaboration or M.Sc./B.Sc. supervision.

Supervised Theses / Advanced Seminar Projects

MSc:

• B. Altinel, Master's Thesis: Large Scale Machine Learning Systems for Maritime Logistics
• S. Misfeldt, Master's Thesis: Application of Deep Reinforcement Learning to Multi-Sourcing Strategies in Inventory Control

BSc:

• J. Bao, Bachelor's Thesis: Dynamic Pricing in an Oligopoly Market
• T. Hsu, Bachelor's Thesis: Application and Benchmarking of Monte Carlo Planning Algorithms
• M. Hristo, Bachelor's Thesis: Multi-Agent Reinforcement Learning for Dynamic Pricing
• A. Medini, Bachelor's Thesis: Causal Inference for Semiconductor Order Fulfillment Quality Control
• M. Hoaxhaj, Bachelor's Thesis: Managerial Insights for Competition in Supply Chains

Seminar Projects:

• L. Jayathilake, Advanced Seminar Project: Risk Mitigation in Newsvendor Models
• M. Rueda, Advanced Seminar Project: Data-Driven Marketing Strategy for Bike Sharing Systems

Public Service

Reviewer for Conferences: NeuRIPS 2024, ICLR 2024, AISTATS 2024, UAI 2024

Reviewer for Journals: INFORMS Journal on Computing, International Journal of Production Economics