Salman Asif
Associate Professor
Los Angeles Metropolitan Area United States
Summary
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Senior🎓
Top SchoolSalman Asif is an associate professor and researcher in electrical and computer engineering with 13+ years of experience spanning academia and industry, focused on machine learning, computational and medical imaging, compressive sensing, and convex optimization. He holds a Ph.D. from Georgia Tech and has translated theory into practice through roles at Samsung Research America and internships at MERL and Mitsubishi Electric Research Labs, plus consulting for Amazon Lab126. His work blends signal and image processing with practical imaging systems—examples include lens-free imaging, light-field and multiview camera algorithms, and sparse-reconstruction methods for MRI and other medical modalities. Known for developing low-complexity, structure-preserving algorithms (e.g., streaming compressive sensing and biconvex phase retrieval), he bridges fast-moving industrial constraints and rigorous academic analysis. Based in the Los Angeles area, he combines deep theoretical grounding with hands-on system building, mentoring students and driving translational research at UC Riverside.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Computer Engineering, Doctor of Philosophy (PhD), Electrical and Computer Engineering at Georgia Institute of TechnologyBachelor’s Degree, Electrical engineering, Bachelor’s Degree, Electrical engineering at University of Engineering and Technology, Lahore
English, UrduProgramming languages (1)
Github contributions (5)
CSIPlab/Programmable3Dcam
Aug 2021 - Oct 2021
Contributions:5 commits, 4 pushes, 1 branch in 1 month
sasif/L1-homotopy
Jun 2013 - Jun 2013
Contributions:13 commits in 2 days
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