• Associate Professor
James Caverlee

Educational Background

  • Ph.D., Computer Science, Georgia Institute of Technology, 2007
  • M.S., Computer Science, Stanford University, 2001
  • M.S., Engineering-Economic Systems & Operations Research, Stanford University, 2000
  • B.A., Economics magna cum laude, Duke University, 1996

Research Interests

    • Web-scale information management
    • Distributed data-intensive systems
    • Information retrieval
    • Databases
    • Social Computing

Awards & Honors

  • National Science Foundation CAREER Award, 2012
  • Air Force Office of Scientific Research (AFOSR) Young Investigator Award, 2012
  • Montague-CTE (Center for Teaching Excellence) Scholar for excellence in undergraduate teaching, 2011-2012
  • Defense Advanced Research Projects Agency Young Faculty Award (DARPA YFA), 2010
  • Google Research Award, 2009
  • Department of Computer Science and Engineering Graduate Faculty Teaching Award, 2009

Selected Publications

  • A. Fayazi, K. Lee, J. Caverlee, and A. Squicciarini, "Uncovering Crowdsourced Manipulation of Online Reviews," SIGIR 2015.
  • H. Lu and J. Caverlee, "Exploiting Geo-Spatial Preference for Personalized Expert Recommendation," RecSys 2015.
  • Z. Cheng, J. Caverlee, H. Barthwal, and V. Bachani, "Who is the Barbecue King of Texas?: A Geo-Spatial Approach to Finding Local Experts," SIGIR 2014.
  • K. Kamath, J. Caverlee, K. Lee, and Z. Cheng, "Spatio-Temporal Dynamics of Online Memes: A Study of Geo-Tagged Tweets," WWW 2013.