Published multiple journal and conference papers, such as 'Saliency and location aware pruning of deep visual detectors for autonomous driving' (Neurocomputing, 2025), 'DSAA: Cross-Modal Transferable Double Sparse Adversarial Attacks from Images to Videos' (Neurocomputing, 2025), etc. He is the PI of the NSF-funded project 'CRII:RI: Deep neural network pruning for fast and reliable visual detection in self-driving vehicles', Grant No. NSF 2153404, 2412285, 2022 - 2025, $149,343.00.
Research Experience
Before joining UAB, he worked as an assistant professor at Bowling Green State University, an applied scientist intern at Amazon Visual Search, and a software developer at Nakisa Inc.
Education
Ph.D. from the Department of Electrical and Computer Engineering at McGill University, Canada, under the co-supervision of James Clark and Tal Arbel.
Background
Currently an Assistant Professor of Computer Science at the University of Alabama at Birmingham, USA. His primary research interests lie in Computer Vision and Machine Learning, particularly neural network compression; autonomous driving perception; neural architecture search; adversarial AI.