Awarded NSF MEDIUM grant: 'Robustness to Distribution Shifts in Computational Imaging – Inference, Sampling, and Adaptation' (with Ulugbek Kamilov)
Received DARPA AIE award for DISCO: 'Discovery of Sparsity-Constrained Optimization Algorithms' (with Chinmay Hegde)
Awarded NSF SCH grant: 'Comprehensive Tissue Disease Diagnosis Using a Multimodal Robotic System' (collaborators include Jun Sheng, Chen Li, Sheng Xu, Mustafa Raoof)
Paper 'Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling' accepted to IEEE TCI
Paper 'VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions' accepted to ICCV 2025
Paper 'Targeted Unlearning with Single Layer Unlearning Gradient' accepted to ICML
Paper 'Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation' accepted to IEEE TPAMI
Paper 'Cross-Modal Safety Alignment: Is textual unlearning all you need?' accepted to EMNLP Findings
Background
Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside (UCR)
Cooperating Faculty in the Department of Computer Science and Engineering
Research interests broadly lie in computational imaging, signal/image processing, computer vision, and machine learning
Designs algorithms to learn and exploit latent signal structures for fast and efficient information recovery
Current research focus includes physics-based and data-driven computational imaging, adversarial attacks and defenses for robust computer vision, multi-task and multi-modal machine learning, and wearable sensors for health monitoring and rehabilitation