Salman Asif

M. Salman Asif Assistant Professor Department of Electrical and Computer Engineering Cooperating Faculty Department of Computer Science and Engineering University of California, Riverside Email: sasif@ece.ucr.edu Phone: (951) 827-2385 Office: 4126 Multidisciplinary Research Building (MRB) Mail: 900 University Ave., Riverside, CA 92521 Web: www.ece.ucr.edu/~sasif Google Scholar profile

I am currently an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside.

Prior to joining UC Riverside, I was a postdoctoral research associate in the DSP group at Rice University. Before that I briefly worked as a Research Engineer at Samsung Research America, Dallas. I received my Ph.D. at the Georgia Institute of Technology under the supervision of Justin Romberg.

My research interests broadly lie in the areas of information processing and computational sensing with applications in signal processing, machine learning, and computational imaging. 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 and the co-design of sensing hardware and information recovery algorithms.

News and updates

• March 2020: One paper accepted to CVPR.

• March 2020: Our paper on Generative Models for Low-Dimensional Video Representation and Reconstruction accepted to IEEE Trans. on Signal Processing.
  Code available at https:github.com/CSIPlab/gmlr.

• February 2020: Three papers accepted in ICASSP 2020. Congratulations Ashley, Fahimeh, Rongjia, and Yucheng!

  • Coded illumination and multiplexing for lensless imaging (joint work with PhD student Yucheng Zheng and MS student Rongjia Zhang)

  • Fourier phase retrieval with arbitrary reference signal (joint work with my PhD student Fahimeh Arab)

  • Low-rank tensor ring model for completing missing visual data (joint work with Ashley Prater-Bennette at AFRL)

• December 2019: A paper on Generative models for low-dimensional video representation and compressive sensing presented in NeurIPS workshop on Deep Inverse (joint work with Rakib Hyder).

• Decemebr 2019: A paper on Image and depth estimation with mask-based lensless cameras presented in CAMSAP (joint work with Yucheng Zheng)

• November 2019: Serving as an area chair for ICASSP 2020

• November 2019: A paper on Generative models for Fourier phase retrieval presented at Asilomar conference (joint work with Rakib Hyder and Chinmay Hegde).

• November 2019: A paper on line cameras for lensless imaging presented at Asilomar Conference (joint work with Yucheng Zheng).

• October 2019: Invited to attend an IMA workshop on computational Imaging. (Videos of the talks are available on the workshop webpage, highly recommended!)

• September 2019: Preprint on Joint Image and Depth Estimation with Mask-Based Lensless Cameras with Yucheng Zheng is available online.

• September 2019: Preprint on A Dual Camera System for High Spatiotemporal Resolution Video Acquisition with Zhan Ma's group is available online.

• September 2019: Presented a paper on Multilinear Compressive Sensing With Tensor Ring Factorization at ICIP in Taipei, Taiwan (joint work with Ashley Prater-Bennette)

• August 2019: Visiting Air Froce Research Laboratory in Rome NY

• April 2019: A paper on using generative models for compressive phase retrieval problem presented at ICASSP (joint work with Rakib Hyder, Viraj Shah, and Chinmay Hegde)

• April 2019: A paper on Exactly Decoding a Vector through Relu Activation presented at ICASSP (joint work with Samet Oymak)

• April 2019: Received an ONR grant on integrated perception and planning with Amit Roy-Chowdhury, Fabio Pasqualetti, and Kostas Karydis (press release)

• March 2019: Received Google Faculty Award (Google announcement)

• March 2019: Received funding from Samsung Electronics to develop computational cameras in mobile phones.

• February 2019: Preprint on Generative Models for Low-Rank Video Representation and Reconstruction with Rakib Hyder is online.