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.
- PhD, Massachusetts Institute of Technology, 2011
- MEng, Massachusetts Institute of Technology, 2005
- BS, Massachusetts Institute of Technology, 2004
- Detecting Bots and Assessing Their Impact in Social Networks
N. G. des Mesnards, D. S. Hunter, Z. el Hjouji and T. Zaman
- Finding Online Extremists in Social Networks
J. Klausen, C. Marks, and T. Zaman
- Mitigating the Backfire Effect Using Pacing and Leading
Q. Yang, K. Qureshi and T. Zaman
- Opinion Dynamics with Stubborn Agents
D.S. Hunter and T. Zaman