James Caverlee

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

Co-organizing WSDM 2020 with Xia "Ben" Hu. Please consider submitting and/or participating!

Fall 2019 Teaching: CSCE 676 Data Mining and Analysis

My research targets topics from recommender systems, social media, information retrieval, 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:

My research approach is primarily data-driven and experimental in nature.

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!

EAGER: Fairness-Aware Personalized Recommendations

umm ...
(pic by Hongning Wang). Or you may prefer: Wampa attack, thinking, coffee, guitar, Korean, bike, canoe, rainy, Gandalf, GRRM, dunno, younger me, fancy me, or collaborating (pic by Hongning Wang).


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


Current and Former PhD Students

Current and Former MS Students

Current and Former Undergrads


Courses at Texas A&M

Other Teaching Experience