Jay Pujara, Ph.D.
Research Assistant Professor, Research Team Leader, Director of the Center on Knowledge Graphs
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
Jay Pujara is a research assistant professor of Computer Science at the University of Southern California and the director of the Center on Knowledge Graphs and a research lead at the Information Sciences Institute. His principal areas of research are artificial intelligence, machine learning, 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. Jay has also worked in industry at Yahoo!, Google, LinkedIn and Oracle. Jay is the author of over fifty peer-reviewed publications and has received four best paper awards for his work, and had his work featured in AI Magazine.
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