James Caverlee

Associate Professor
Department of Computer Science and Engineering
Texas A&M University
infolab
[my_last_name] 'at' cse.tamu.edu

Teaching Fall 2017: CSCE 470, Information Storage and Retrieval

infolab Symposium (Friday October 13, 2017): Data Science from Theory to Practice

My research targets topics from social media, information retrieval, recommender systems, data mining, emerging networked information systems, and occasional forays into distributed systems and services computing. I usually wear one of two hats in my work:

  • For many years, I have studied threats to these systems, including social spam/bots [ICWSM2011, SIGIR2010], crowd-powered strategic manipulation [SIGIR2015], collective attention threats [ICWSM2013], attacks on search engines [PODC 2007], and other emerging threats [CIKM2016].
  • I'm also very interested in creating new beneficial algorithms and frameworks for these systems, including our work on geo-social characteristics of social media [WWW2013, ICWSM2011], user modeling [SIGIR2017, RecSys 2016], expert detection [RecSys2016, SIGIR2014], and geo-inferencing [CIKM2010].

My research approach is primarily data-driven and experimental in nature; we like to develop algorithms, models, and systems, and then evaluate their effectiveness over real data and in live settings.

About me: I received my Ph.D. in Computer Science from Georgia Tech in 2007, co-advised by Ling Liu (CS) and Bill Rouse (ISYE). Before that, I earned two M.S. degrees from Stanford University: one in Computer Science in 2001 and one in Engineering-Economic Systems & Operations Research in 2000. My undergraduate degree is a B.A. in Economics (magna cum laude) from Duke University in 1996. I joined the faculty at Texas A&M in 2007. I spent most of my sabbatical in 2015 at Google as a Visiting Scientist in Ed Chi's group. I've been honored to receive an NSF CAREER award, DARPA Young Faculty award, a AFOSR Young Investigator award, as well as several teaching awards.

Acknowledgments: Our lab has been generously supported by NSF, DARPA, AFOSR, Google, Amazon, the Texas A&M College of Engineering, and Texas A&M. Thank you!

Wampa attack!
Wampa attack. Or you may prefer: guitar, Korean, bike, canoe, rainy, Gandalf, GRRM, younger me, or fancy me.

Publications

See also my publications at DBLP, Google Scholar, and at Semantic Scholar. 2007 and earlier

Students

Current and Former PhD Students

Current and Former MS Students

Current and Former Undergrads

Teaching

Courses at Texas A&M

Other Teaching Experience

Service

Awards