Parshan Pakiman

PhD, College of Business Administration, University of Illinois Chicago
MSc, College of Business Administration, University of Illinois Chicago
BSc, College of Science, University of Tehran

• Supply chain analytics
• Production and operations management

• Studying impactful health care and retail operations problems by designing new algorithms based on data-driven optimization, reinforcement learning, and machine learning techniques.
• Developing algorithms to tackle large-scale Markov decision processes that are accessible to business users by requiring minimal human intervention during implementation.

Self-Guided Approximate Linear Programs: Randomized Multi-Shot Approximation of Discounted Cost Markov Decision Processes. P. Pakiman, S. Nadarajah, N. Soheili, Q. Lin. Published in Management Science.

SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine. A. Chenreddy, P. Pakiman, S. Nadarajah, R. Chandrasekaran, R. Abens. Published in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019).

Dynamic Optimization of Workforce Talent. D. Adelman, A. J. Mersereau, P. Pakiman. Under review at Operations Research.

Adaptive Risk Mitigation in Demand Learning. P. Pakiman, B. Chen, S. Nadarajah, S. Jasin. In preparation for submission to Manufacturing & Service Operations Management.

Back to the Future: Revisiting a Pioneering Approximation of Average Cost Markov Decision Processes Using a Multi-Shot Perspective. P. Pakiman, S. Nadarajah. In preparation for submission to INFORMS Journal on Computing.

• Institute for Operations Research and the Management Sciences (INFORMS)
• Manufacturing and Service Operations Management Society (MSOM)
• Production and Operations Management Society (POMS)
• INFORMS Chicago Chapter Ambassador

• Production and Operations Management (POM)
• INFORMS Journal on Computing (IJOC)
• Information Systems Research (ISR)
• International Conference on Learning Representations (ICLR)
• Annals of Operations Research (ANOR)
• Computers & Operations Research (COR)
• Electronic Commerce Research (ECR)
• Information Systems and Operational Research (INFOR)

• Session chair, Dynamic Pricing and Risk Management, POMS 35th Annual Conference 2025
• Session co-chair, New Topics in Dynamic Assignment, INFORMS Annual Meeting 2024
• Session co-chair, Recent Advances in Approximate Dynamic Programming, INFORMS Annual Meeting 2024
• Session co-chair, Risk Management in Reinforcement Learning, INFORMS Annual Meeting 2023
• Session co-chair, Learning and Sequential Decision Making, INFORMS Annual Meeting 2022
• Session co-chair, Large-scale Linear Programs and Applications, INFORMS Optimization Society Conference 2022
• Session chair, Recent Advances in Reinforcement Learning, INFORMS Annual Meeting 2021
• Session co-chair, Social Responsibility and Risk in Supply Chains, INFORMS Annual Meeting 2021