Salman Asif
I am an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside.
Research interests. My research interests broadly lie in the areas of computational imaging, signal/image processing, computer vision, and machine learning. I design algorithms to learn and exploit latent signal structures for fast and efficient information recovery.
Current research focus is on computational imaging (physics-based and data-driven approaches), adversarial attacks and defenses for robust computer vision, multi-task and multi-modal machine learning, and wearable sensors for health monitoring and rehabilitation.
Positions available
Prospective PhD students: I am looking for new Ph.D. students to join my group for projects related to computational imaging and multi-modal machine learning.
A successful candidate should have solid understanding of Linear Algebra, programming (Matlab and Python), basics of Convex Optimization, and interest in tinkering with hardware prototypes (no special skills needed, but should be able to assemble a lego set with or without instructions).
Important: If you send me an email, please include your CV/resume and a brief statement of your research interests. I try to respond to as many emails as I can, but please do not be offended if you do not receive a response.
UCR offers PhD admissions in Fall, Winter, and Spring quarters. Please look at Graduate admissions page for details.
Undergraduate students: If you are at UCR and want to work on computational imaging, machine learning, or computer vision, get in touch.
News and updates
February 2024: One paper accepted to IEEE TCI. Congratulations Nebiyou and Bek!
February 2024: One paper accepted to CVPR 2024. Congratulations Qi and Zhan!
February 2024: One paper presented in AAAI 2024. Congratulations Zikui and collaborators!
January 2024: One paper accepted to IEEE TPAMI. Congratulations Zhihao and Zhan!
December 2023: Two papers accepted to ICASSP 2024
October 2023: Two preprints on robustness to distribution shifts
October 2023: Two preprints on multimodal machine learning with Kaykobad Reza and Ashley Prater-Bennette
October 2023: One preprint on parameter-efficient network adaptation for multi-task and multi-domain learning
September 2023:
Happy to serve as Area Chair for ICLR 2024, CVPR 2024, and WACV 2024
Happy to serve as Senior Program Committee Member for AAAI 2024
September 2023: We received a Gift Award from Amazon for research on Multimodal Networks.
August 2023: We received a new grant from SoCalHub for Ensemble-based Robust Models for Computer Vision
May 2023: We received a new grant from USDA on Vision-Guided Flexible Robots for Harvesting the Interior of Tree Crops with Jun Sheng as a PI.
May 2023: Yucheng successfully defended his PhD. Congratulations!
March 2023: Two papers accepted to CVPR 2023. Congratulations to Zikui, Yaoteng, Qi, and Zhan!
February 2023: Two papers accepted in ICASSP 2023
January 2023: Two journal papers on coded illuminations and lensless imaging. Congratulations to Yucheng!
January 2023: One journal paper on resolution analysis of masks-based lensless cameras.
more news
Research interests
My research interests broadly lie in the areas of computational imaging, signal/image processing, computer vision, and machine learning. I design algorithms to learn and exploit latent signal structures for fast and efficient information recovery. Recently, I have been working on some projects in computational imaging, adversarial computer vision, multi-modal machine learning, and soft, wearable robotics.
Service
Area Chair CVPR 2024
Area Chair ICLR 2024
Senior Program Committee AAAI 2024
Area Chair WACV 2023, 2024
Senior Program Committee IJCAI 2023
Area Chair ICASSP 2020, 2021, 2022, 2023
Area Chair ICIP 2019, 2020, 2021, 2022, 2023
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