Bio

Abhinav Shrivastava is an Associate Professor of Computer Science at the University of Maryland, College Park, with a joint appointment in UMIACS. He leads the Perception and Intelligence (PI) Lab, working on computer vision, machine learning, and robotics. His research is supported by NSF, DARPA, IARPA, NGA, Apple, Amazon, Google, Adobe, Meta, and others. He is lead PI for IARPA VideoLINCS and DARPA SAIL-ON, and co-PI for IARPA SMART, DARPA MediFor, SemaFor, and GARD. He has received the NSF CAREER Award, Amazon Research Awards (2021, 2024), Google Faculty Research Gift (2024), and Apple Research Award (2025). His work has received best paper awards at WACV (2014, 2020) and a best paper finalist at CVPR (2019). He has been invited to present at the White House and the NAE/JHU Forum on Engineered AI Systems. His work has been featured in Forbes, BBC, AP, CNN, Wired, Newsweek, and Popular Science. Before Maryland, he was a visiting research scientist at Google Research. He completed his PhD in Robotics from Carnegie Mellon University in 2017, where he was a Microsoft Research Fellow.

Abhinav Shrivastava is an Associate Professor of Computer Science at the University of Maryland, College Park, with a joint appointment in UMIACS. He leads the Perception and Intelligence (PI) Lab and is a member of the Center for Automation Research (CfAR), Computer Vision Lab (CVL), Maryland Robotics Center (MRC), and Center for Machine Learning (CML). His research focuses on computer vision, machine learning, and robotics.

His research is supported by NSF, DARPA, IARPA, NGA, Air Force, Apple, Amazon, Google, Adobe, Meta, Honda, and Dolby. He is lead PI for IARPA VideoLINCS and DARPA SAIL-ON, and co-investigator for IARPA SMART and WRIVA, DARPA MediFor, SemaFor, and GARD, and NSF EFRI.

He has received the NSF CAREER Award (2023), Amazon Research Awards (2021, 2024), Google Faculty Research Award (2024), Apple Research Award (2025), and the Microsoft Research PhD Fellowship (2014–16). His work has received best paper awards at WACV 2014 (Student) and WACV 2020 (Applications), a best paper finalist at CVPR 2019, and was named CNN's Top-10 Ideas in 2013. He received the Distinguished Alumni Award for Academic Excellence from JIIT in 2025.

He was invited to present at the White House on AI research and at the NAE/JHU Forum on Engineered AI Systems. His work has been featured in Forbes, BBC, AP, CNN, Wired, Newsweek, TechCrunch, and Popular Science.

Before Maryland, he was a visiting research scientist at Google AI. He received his PhD in Robotics from Carnegie Mellon University in 2017, advised by Abhinav Gupta. He also holds an MS from CMU's Robotics Institute (with Alexei Efros and Martial Hebert) and a B.Tech. from JIIT, where he graduated with the Vice Chancellor Gold Medal.