Scholar
James Caverlee
Google Scholar ID: LB1dq_sAAAAJ
Professor, Computer Science and Engineering, Texas A&M University
Citations & Impact
Citations
6,557
H-index
40
i10-index
101
Publications
20
Co-authors
68
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received the 2022 SIGIR Test of Time Award Honorable Mention, the 2020 CIKM Test of Time Award, and several Best Paper (Candidate) awards. Research has been supported by an NSF CAREER award, an AFOSR Young Investigator Award, a DARPA Young Faculty Award, and multiple grants from Google, Amazon, AFOSR, DARPA, and the NSF.
Research Experience
- Published papers in major venues such as KDD, EMNLP, WWW, SIGIR, WSDM, AAAI, RecSys, and more. Served as General Co-Chair of WSDM 2020 and as a Senior Associate Editor of the ACM Transactions on Intelligent Systems and Technology, as well as on the Senior Program Committee of many venues.
Education
- Insufficient information
Background
- Professor in the Department of Computer Science and Engineering at Texas A&M University and a Visiting Researcher at Google DeepMind. Research interests include developing trustworthy, resilient, and responsible machine learning algorithms and systems, particularly in personalization, efficiency, and AI risks in domains like LLMs, recommender systems, conversational systems, and speech.
Miscellany
- Personal interests include traveling, playing guitar, coffee, biking, and canoeing.
