["Awarded a PITA grant (2025–2026) for research on 'Monitoring Health and Well-being through Videos on Edge Devices'", 'Doctoral Consortium Chair for WACV 2026 and CVPR 2024; Broadening Participation Chair for WACV 2025 and IJCB 2025; Program Chair for ACM IHMMSec Workshop 2023', 'Associate Editor for Elsevier’s Pattern Recognition (2023–Present)', 'Published 'Learning the Power of "No": Foundation Models with Negations' at WACV 2025', "Accepted 'Watermarks vs. Perturbations for Preventing AI-based Style Editing' to ICLR Workshop on GenAI Watermarking 2025", "Accepted 'Implications of Neural Compression for Scientific Images' to ACM IHMMSec 2025", "Paper 'Is Perturbation-based Protection Disruptive to Image Editing?' to be published in ICIP 2025", "Accepted 'A Relative Data Diversity Measure for Synthetic Face Images' to IJCB 2024", "Accepted 'Exploring Saliency Bias in Manipulation Detection' to ICIP 2024", "Accepted 'SynthProv: Interpretable framework for profiling identity leakage' to WACV 2024", "Accepted 'IdProv: Identity-Based Provenance for Synthetic Image Generation' to AAAI 2023", "Published 'A Computer Vision Method for Estimating Velocity from Jumps' at WACV Workshop on Computer Vision for Winter Sports 2023", "Released 'Multi-Demographic Retouched Faces Dataset with Human Responses' (IJCB 2022 Data Release)", "Delivered keynote talk 'Tracing the Hidden Trails: Provenance, Leakage, and Privacy in Synthetic Multimedia' at ACM IHMMSec 2025"]
Background
Assistant Professor in the Department of Computer Science & Engineering at Lehigh University
Research interests include Media Forensics, Computer Vision, Biometrics, Pattern Recognition, and Machine Learning
Member of the IEEE Information Forensics and Security Technical Committee
Member of the IEEE Biometric Council's Editorial Board and PAMI-TC
Served on program committees for CVPR, AAAI, WACV, IJCB, FG, and ICPR
Research goals: re-establish trust in visual media, incorporate human perception into forensic methods, improve model generalizability in visual learning, and explore visual tasks where humans underperform