- ICLR 2025: ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
- ICCV 2023: TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection
- JPV 2022: Electroluminescence Analysis and Grading of Hail Damaged Solar Panels
- PVSC/JPV 2021: Automated Defect Detection and Localization in Photovoltaic Cells using Semantic Segmentation of Electroluminescence Images
Awards:
- 2nd Place in the Google DeepMind Second Perception Test Challenge Grounded VQA task @ ECCV24, Sept. 2024
- 3rd Place in the 3rd Annual HSI Battle of the Brains competition, individually awarded eBay competition scholarship, Sept. 2023
Research Experience
PhD Research Scientist/Engineer Intern, Adobe Inc., Seattle, Washington, USA, May 2025 - Aug. 2025. Designed a novel method for adaptive smart media organization and developed an on-device capable VLM for efficient media tagging and captioning.
Education
Ph.D. in Computer Vision, University of Central Florida (UCF), Advisor: Dr. Mubarak Shah, August 2022 - Present
Background
Research interests include bias mitigation, privacy preservation, large multimodal models, action recognition, and anomaly detection in computer vision. Currently a 4th year Ph.D. student at the University of Central Florida (UCF) under Dr. Mubarak Shah, focusing on video understanding tasks, particularly learning useful representations under privacy and fairness constraints.