Gladwin Development Chair Assistant ProfessorDepartment of Computer Science
Office: Stuart Building 226D
Mail: 10 W. 31st Street Room 226D, Chicago, IL 60616E-mail: kshu at iit.edu
[11/2022] Selected for the AAAI-2023 New Faculty Highlights Program.
[10/2022] Received a DARPA grant on modeling misinformation pathways, joint with Charles River Analytics.
[9/2022] Invited to talk (remotely) at Tsinghua University and Georgetown University.
[9/2022] Invited to talk at Cisco Research Responsible AI Summit.
[8/2022] Received two IIT ACT Center Computational Interdisciplinary Seed Funding to study disinformation and pandemic modeling [IIT News].
[7/2022] Invited to serve as a Senior PC for AAAI 2023.
[6/2022] Invited to talk at Cisco Research on fair machine learning.
[5/2022] One paper is accepted in KDD 2022.
[4/2022] One paper is accepted in NAACL 2022.
[4/2022] One paper is accepted in IEEE TKDE (Minor Revision).
[4/2022] Received a Cisco Research Award to support our research on explainable AI with fairness and privacy.
[3/2022] Keynote invitation in SocialNLP 2022 workshop, collocated in TheWebConf'22
[3/2022] Invited to participate in a panel on How Data Science Impacts Industry, Education, and Society, College of Computing Speaker Series.
[2/2022] AI 2000 Most Influential Scholar Honorable Mention (Data Mining), Aminer 2022.
[1/2022] Two papers are accepted in TheWebConf 2022.
[12/2021] Finalist, Meta (Facebook) Research Faculty Award.
[12/2021] Invited to serve as a PC member for SIGIR 2022.
[12/2021] Invited to talk at The University of Chicago on Combating Disinformation on Social Media.
[11/2021] Finalist, the 2021 BenchCouncil Distinguished Doctoral Dissertation Award.
Kai Shu is a Gladwin Development Chair Assistant Professor in the Department of Computer Science at Illinois Institute of Technology since Fall 2020. His research lies in machine learning, data mining, social computing with applications such as disinformation, education, and healthcare. He obtained his PhD in Computer Science at Arizona State University in July 2020, under the supervision of Professor Huan Liu. He was the recipients of 2023 AAAI New Faculty Highlights, 2022 Cisco Faculty Research Award, the finalist of a 2022 Meta Research Award, 2020 ASU Engineering Dean's Dissertation Award, and 2020/2015 ASU CIDSE Doctoral Fellowship. He interned at Microsoft Research AI, Yahoo Research and HP Labs. His research is supported by the U.S. federal agencies (DARPA, IARPA, NSF) and industry organizations (Cisco, Google, DPI).
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