Amin Rahimian, PhD

Assistant Professor

1003 Benedum Hall | 3700 O’Hara Street | Pittsburgh, PA 15261

rahimian@pitt.edu

Research Overview

Amin Rahimian joined Pitt IE in the fall of 2020. Prior to that, he was a postdoc with joint appointments at MIT Institute for Data, Systems, and Society (IDSS) and MIT Sloan School of Management. He received his PhD in Electrical and Systems Engineering from the University of Pennsylvania, and Master’s in Statistics from Wharton School. Broadly speaking his works are at the intersection of networks, data, and decision sciences. He borrows tools from applied probability, statistics, algorithms, as well as decision and game theory. Some of his current focus is on the challenges of inference and intervention design in complex, large-scale sociotechnical systems, with applications ranging from online social networks, public health, e-commerce and collective decision/action platforms to modern civilian cyberinfrastructure and future battlefields. He is especially interested in the critical role that information plays in the operation of sociotechnical institutions and its societal implications, including on diversity, fairness, and privacy. He has served on the program committee of the 2021 ACM Economics and Computation conference and is currently serving on the advisory council of the vaccine confidence fund (a new industry alliance) as well as the program committee of the 2022 IISE annual conference (as the operations research track co-chair). He has published in the Proceedings of the National Academy of Sciences, the Operations Research journal, the Automatica journal, and several IEEE Transactions. At Pitt he teaches Stochastic Processes (IE 2084), Design of Experiments (IE 1072) and a new engineering elective (IE 1171) on “Data for Social Good” that is supported by the Pitt Year of Data and Society Initiative.

Research projects

• Improving Cooperation and

Coordination in Heterogeneous Crowds of Soldiers and Robots (Army) • Advancing Analytics Using Simulation

Modeling to Improve Actionable

Changes in the Opioid Overdose

Epidemic (CDC) • Socially Responsible Data Collection and Network Intervention Design (Pitt

Momentum Funds)