James Foulds
Scholar

James Foulds

Google Scholar ID: j-kLU-4AAAAJ
University of Maryland, Baltimore County
Machine Learning
Citations & Impact
All-time
Citations
2,360
 
H-index
23
 
i10-index
36
 
Publications
20
 
Co-authors
34
list available
Resume (English only)
Academic Achievements
  • Received the NSF CAREER award; Multiple papers accepted for publication at conferences such as SDM 2021, WWW 2021, AAAI Fall Symposium, etc.; Papers by his students Rashidul Islam, Kamrun Keya, etc., also accepted.
Research Experience
  • Currently an associate professor in the Department of Information Systems at UMBC. Involved in multiple research projects including writing the new edition of the Witten et al. Data Mining textbook, co-editing the IEEE Data Engineering Bulletin (DEB) Special Issue on Interdisciplinary Perspectives on Fairness and Artificial Intelligence Systems with Shimei Pan, etc.
Education
  • PhD from Padhraic Smyth's DataLab at UCI; Postdoctoral scholar in Lise Getoor's LINQS research group at UCSC; Postdoctoral scholar at the University of California, San Diego under the Data Science Postdoctoral Fellowship program.
Background
  • Research interests are broadly in the area of socially conscious machine learning and artificial intelligence. His work aims to improve AI’s role in society regarding fairness and privacy, and to promote the practice of computational social science.
Miscellany
  • Goes by Jimmy personally; Recently gave talks at IJCAI, Leidos Innovations Center (LInC) AI/ML reading group meeting, etc.