ISI Directory

Jay Pujara, Ph.D.

Research Assistant Professor, Research Lead, Director of the Center on Knowledge Graphs

Education

Ph.D. Computer Science, University of Maryland, College Park
M.S. Computer Science, Carnegie Mellon University
B.S. Computer Science, Carnegie Mellon University
B.S. Electrical and Computer Engineering, Carnegie Mellon University
B.S. Cognitive Science, Carnegie Mellon University

Bio

ay Pujara is a research assistant professor of Computer Science at the University of Southern California and a research lead at the Information Sciences Institute whose principal areas of research are machine learning, artificial intelligence, and data science. He completed a postdoc at UC Santa Cruz, earned his PhD at the University of Maryland, College Park and received his MS and BS at Carnegie Mellon University. Prior to his PhD, Jay spent six years at Yahoo! working on mail spam detection and user trust, and he has also worked at Google, LinkedIn and Oracle. Jay is the author of over thirty peer-reviewed publications and has received four best paper awards for his work. He is a recognized authority on knowledge graphs, and has organized the Automatic Knowledge Base Construction (AKBC) and Statistical Relational AI (StaRAI) workshops, presented tutorials on knowledge graph construction at AAAI and WSDM, and had his work featured in AI Magazine.

Awards

Outstanding Paper Award, Intelligent User Interfaces, 2019
Top Reviewer, Neural Information Processing Systems, 2018
Best Paper Award, Statistical Relational Learning Workshop, 2016
Outstanding Reviewer, International Joint Conference on AI, 2016
Best Student Paper Award, International Semantic Web Conference, 2013
Best Paper Award, Collaboration, Electronic Messaging, Anti-abuse, and Spam, 2011
Dean’s Fellowship Award, University of Maryland, College Park, 2010-2012
Yahoo! FREP Award, “Active Feature Acquisition”, Advisor: Martin Zinkevich, 2010-2012
Lemonade Stand Multi-agent Competition, 2nd place, 2009; 3rd place, 2010