Nihar Shah Associate Professor CMU Scholars Page Office 8211 Gates and Hillman Centers Email nihars@cs.cmu.edu Phone (412) 268-7896 Department Machine Learning Department Computer Science Department Research Interests Artificial Intelligence Machine Learning Theory Advisees Alexander Goldberg Keerthana Gurushankar CSD Courses Taught 15281 - Spring, 2024 Nihar's research broadly lies in the areas of statistical learning, game theory, and information theory, with a focus on problems in crowdsourcing and learning from people. Nihar received his PhD from the EECS department at the University of California, Berkeley in 2017. His thesis received the 2017 David J. Sakrison Memorial Prize from EECS Berkeley for "truly outstanding and innovative research". He is also a recipient of the Microsoft Research PhD Fellowship 2014-16, the Berkeley Fellowship 2011-13, the IEEE Data Storage Best Paper and Best Student Paper Awards for the years 2011/2012, the SVC Aiya Medal from the Indian Institute of Science for the best master’s thesis, and an Outstanding Graduate Student Instructor award at UC Berkeley in 2016. Nihar's favorite sport is kite fighting. He is recently also excitedly playing lots of ultimate frisbee. Publications Journal Article How do authors' perceptions of their papers compare with co-authors' perceptions and peer-review decisions? 2024 • PLoS ONE • 19(4): Rastogi C, Stelmakh I, Beygelzimer A, Dauphin YN, Liang P, Vaughan JW, Xue Z, Daume III H, Pierson E, Shah NB Preprint On the Detection of Reviewer-Author Collusion Rings From Paper Bidding 2024 Jecmen S, Shah NB, Fang F, Akoglu L Conference A Dataset on Malicious Paper Bidding in Peer Review 2023 3816-3826 Jecmen S, Yoon M, Conitzer V, Shah NB, Fang F Preprint A Gold Standard Dataset for the Reviewer Assignment Problem 2023 Stelmakh I, Wieting J, Neubig G, Shah NB Journal Article A large scale randomized controlled trial on herding in peer-review discussions 2023 • PLoS ONE • 18(7): Stelmakh I, Rastogi C, Shah N, Singh A, Daume IIIH
Journal Article How do authors' perceptions of their papers compare with co-authors' perceptions and peer-review decisions? 2024 • PLoS ONE • 19(4): Rastogi C, Stelmakh I, Beygelzimer A, Dauphin YN, Liang P, Vaughan JW, Xue Z, Daume III H, Pierson E, Shah NB
Preprint On the Detection of Reviewer-Author Collusion Rings From Paper Bidding 2024 Jecmen S, Shah NB, Fang F, Akoglu L
Conference A Dataset on Malicious Paper Bidding in Peer Review 2023 3816-3826 Jecmen S, Yoon M, Conitzer V, Shah NB, Fang F
Preprint A Gold Standard Dataset for the Reviewer Assignment Problem 2023 Stelmakh I, Wieting J, Neubig G, Shah NB
Journal Article A large scale randomized controlled trial on herding in peer-review discussions 2023 • PLoS ONE • 18(7): Stelmakh I, Rastogi C, Shah N, Singh A, Daume IIIH