Dr. Craig Knoblock

Professor

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Biography

Craig Knoblock is a Research Professor at the Thomas Lord Department of Computer Science and the Keston Executive Director of the Information Sciences Institute at the University of Southern California. He holds a Bachelor's degree in Computer Science from Syracuse University and both Master's and Doctoral degrees in Computer Science from Carnegie Mellon University. With over 400 publications, including journal articles, book chapters, and conference papers, Craig's research has garnered multiple awards. His areas of expertise include techniques for describing, acquiring, and exploiting semantic data. Notably, he has worked extensively on source modeling, schema ontology alignment, entity record linkage, and methods for cleaning and normalizing data from the web to build comprehensive knowledge graphs. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery, and has held prestigious positions including past President and Trustee of the International Joint Conference on Artificial Intelligence. His dedication to the field has been recognized with significant awards such as the Robert S. Engelmore Award.

Research Interests

Experience

Research Professor

— Present

University of Southern California • Los Angeles, CA

Conducting research and directing programs at the Thomas Lord Department of Computer Science.

Keston Executive Director

— Present

Information Sciences Institute • Los Angeles, CA

Leading research initiatives and projects at the Information Sciences Institute.

Awards

#2014

Robert S. Engelmore Memorial Lecture Award

#2013

In-use Paper Award

#2012

Research Paper Award

#2008

Distinguished Scientist

#2004

Fellow

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
GRE General
Prerequisites
Bachelor's degree in Engineering, Math, or Hard Science
Application Checklist
  • Online application
  • Official transcripts
  • Personal Statement
  • Resume/CV
  • Letters of Recommendation (not required for MS CS, but allowed)
Specialization Notes

GRE is NOT required for Master's applicants for 2025-2026.