Research Assistant Professor of Industrial and Systems Engineering, Research Team Leader
PhD, Computer Science, University of Texas at Austin
Mayank Kejriwal is a Research Assistant Professor in the Department of Industrial and Systems Engineering, and a Research Lead at the USC Information Sciences Institute. His research has been, or is currently, funded by DARPA, corporate and philanthropic grants, and government agencies. He is a passionate advocate of using Artificial Intelligence technology for social good, and regularly collaborates with domain-experts to build such systems. He is the author of three books, the most recent being Knowledge Graphs: Fundamentals, Techniques and Applications, published by MIT Press in March, 2021.
Mayank's primary research focuses on knowledge graphs (KG), an exciting area of Artificial Intelligence and data analytics research that has found widespread applications in industry (including in e-commerce giants like Amazon, and search providers like Google), academia (health informatics and social sciences) and for social causes (fighting human trafficking and mobilizing resources in the aftermath of crises). He is also active in other applied graph-theoretic communities such as network science, complex systems and computational social science, with recent journal articles published in Applied Network Science, Simulation Modeling Practice and Theory (Elsevier), Plos One, Journal of Computational Social Science, and Experimental Results (Cambridge University Press).
Named Finalist, AAAS Early Career Award for Public Engagement with Science, 2021
Recipient, Yahoo! Faculty Research Engagement Program, 2019
Recipient, Copper Black Award for Creative Achievement, Mensa Foundation, 2019
Recipient, Key Scientific Challenge Award, Allen Institute for Artificial Intelligence, 2018
Recipient, International Best Dissertation Award, Semantic Web Science Association, 2017
Research Lead, Information Sciences Institute