Mayank Kejriwal

Mayank Kejriwal is a Research Assistant Professor in the Department of Industrial and Systems Engineering at the University of Southern California (USC) and a Research Lead at the USC Information Sciences Institute (ISI). His work focuses on applying AI technologies for social good, particularly through knowledge graphs and neuro-symbolic AI.

Education:

• PhD in Computer Science, University of Texas at Austin

Research Interests:
Dr. Kejriwal's primary research is in knowledge graphs (KG), neuro-symbolic AI, and complex systems. He explores how AI can address real-world issues such as human trafficking, crisis response, and healthcare. His work bridges theory and application, combining symbolic reasoning with modern machine learning techniques.

He is also active in computational social science, network science, and AI ethics, with a strong emphasis on human-centered computing.

Scientific Awards:

• USC Graduate Student Mentorship Award (2021)
• AAAS Early Career Award for Public Engagement with Science Finalist (2021)
• Yahoo! Faculty Research Engagement Program Recipient (2019)
• Copper Black Award for Creative Achievement, Mensa Foundation (2019)
• Key Scientific Challenge Award, Allen Institute for AI (2018)
• International Best Dissertation Award, Semantic Web Science Association (2017)

Grants & Funding:
His research has been funded by DARPA, corporate sponsors, and philanthropic organizations. He has led multiple projects under the MEMEX and other federal programs aimed at AI for social impact.

Teaching & Mentorship:
He teaches courses such as ISE 540: Text Analytics and ISE 599: Applied Predictive Analytics. He has received the USC Graduate Student Mentorship Award for his dedication to student development.