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Talal Rahwan, Ph.D

Affiliations: 
Computer Science New York University Abu Dhabi 
Area:
Artificial Intelligence, Graph Theory, Computational Social Science
Website:
https://www.trahwan.com/
Google:
"https://scholar.google.com/citations?user=eoBU6GwAAAAJ&hl=en&oi=ao"
Bio:

Talal Rahwan is an Associate Professor of Computer Science at New York University Abu Dhabi, UAE. He received his Ph.D. in Computer Science in 2007 from The University of Southampton, UK, where he received the Dean’s Award for Early Career Researcher. His Ph.D. thesis earned him the British Computer Society's Distinguished Dissertation award, which annually recognizes the most outstanding Ph.D. thesis in the UK in Computer Science. He was selected by the IEEE Computer Society as one of the 10 most promising, young Artificial Intelligence (AI) researchers in the world. His work appeared in major academic journals, including Nature Communications, Nature Human Behaviour, and Nature Machine Intelligence. His research interests include: Data Science, Computational Social Science, Game Theory, and Artificial Intelligence.

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Parents

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Nick Jennings grad student 2007 University of Southampton

Children

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Hochan Lee research assistant New York University Abu Dhabi
Bedoor AlShebli grad student 2013-2017 New York University Abu Dhabi
Fengyuan (Michael) Liu grad student 2020-2025 New York University Abu Dhabi
Marcin Waniek post-doc 2019- New York University Abu Dhabi
Balaraju BATTU post-doc 2021- (Neurotree)
Shahan Ali Memon research scientist 2020-2023 New York University Abu Dhabi

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Publications

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Ibrahim H, Liu F, Asim R, et al. (2023) Author Correction: Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Scientific Reports. 13: 17101
Waniek M, Suri N, Zameek A, et al. (2023) Human intuition as a defense against attribute inference. Scientific Reports. 13: 16088
Ibrahim H, Liu F, Asim R, et al. (2023) Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Scientific Reports. 13: 12187
Makovi K, Sargsyan A, Li W, et al. (2023) Trust within human-machine collectives depends on the perceived consensus about cooperative norms. Nature Communications. 14: 3108
Liu F, Rahwan T, AlShebli B. (2023) Non-White scientists appear on fewer editorial boards, spend more time under review, and receive fewer citations. Proceedings of the National Academy of Sciences of the United States of America. 120: e2215324120
Waniek M, Holme P, Farrahi K, et al. (2023) Author Correction: Trading contact tracing efficiency for finding patient zero. Scientific Reports. 13: 1548
Battu B, Rahwan T. (2023) Cooperation without punishment. Scientific Reports. 13: 1213
Liu F, Holme P, Chiesa M, et al. (2023) Gender inequality and self-publication are common among academic editors. Nature Human Behaviour
Chaqfeh M, Asim R, AlShebli B, et al. (2023) Towards a World Wide Web without digital inequality. Proceedings of the National Academy of Sciences of the United States of America. 120: e2212649120
Waniek M, Magdy W, Rahwan T. (2022) Hiding opinions from machine learning. Pnas Nexus. 1: pgac256
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