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Tauhid Zaman

Tauhid Zaman

Associate Professor of Operations Management

Tauhid is an Associate Professor of Operations Management at the Yale School of Management. He received his BS, MEng, and PhD degrees in electrical engineering and computer science from the MIT Sloan School of Management.

His research focuses on solving operational problems involving social network data using probabilistic models, network algorithms, and modern statistical methods.  Some of the topics he studies in the social network space include predicting the popularity of content, finding online extremists, and geo-locating users.

His broader interests cover data-driven approaches to investing in startup companies, non-traditional choice modeling, algorithmic sports betting, and biometric data.

His work has been featured in the Wall Street Journal, Wired, Mashable, the LA Times, and Time Magazine.

Education

  • PhD, Massachusetts Institute of Technology, 2011
  • MEng, Massachusetts Institute of Technology, 2005
  • BS, Massachusetts Institute of Technology, 2004

Articles

Detecting Bots and Assessing Their Impact in Social Networks

D. Mesnards, N. G. Hunter, D. S. Hjouji, and Zaman, T.
Operations Research, issue 2022
2022

Optimizing Opinions with Stubborn Agents

Hunter, D. Scott, and T. Zaman
Operations Research, issue 2022
2022

Building a Location-Based Set of Social Media Users

Marks, C. Edward, and T. Zaman
Operations Research, issue 2022
2022

Working Papers

Penetrating a Social Network: The Follow-back Problem

F. Que, K. Rajagopalan, and T. Zaman
2018