Compressive Sensing

Qiang Fu

Research Scientist, Computer Science

computational imaging micro and nanofabrication optical system design Compressive Sensing

Qiang Fu is a Research Scientist in the Computational Imaging Group (VCCIMAGING) working with Professor Wolfgang Heidrich at King Abdullah University of Science and Technology (KAUST). Education and Early Career Qiang Fu obtained his bachelor degree in Manufacturing and Design Automation of Machinery from University of Science and Technology of China in 2007. He has a Ph. D. in Optical Engineering from University of Chinese Academy of Sciences (2012). In 2012, Qiang joined the Academy of Opto-Electronics at Chinese Academy of Sciences as an Assistant Research Fellow. After 2 years

Mudassir Masood

Ph.D. (former), Electrical and Computer Engineering

Distribution Agnostic Bayesian Estimation of Sparse Signals Compressive Sensing Massive MIMO Physical layer security machine learning

Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Israel Jesus Santos Filho

M.S. Student (former), Electrical and Computer Engineering

Pattern Recognition machine learning deep learning Compressive Sensing

MS Student, Electrical and Computer Engineering ,work under the supervision of Professor Tareq Al-Naffouri at King Abdullah University of Science and Technology.

Chen Zhao

Research Scientist, Electrical and Computer Engineering

Deep learning Computer Vision Compressive Sensing image and video processing Video Understanding Reversible networks

Chen Zhao is a Research Scientist at KAUST, and Lead of the Video Understanding Theme in the Image and Video Understanding Lab. She received her Ph.D. degree from Peking University, China in 2016. She studied in University of Washington, US from 2012 to 2013, and at the National Institute of Informatics, Japan in 2016. She has published 40+ papers on representative journals and conferences such as TPAMI, CVPR, ICCV, ECCV, and has received over 3000 citations according to Google Scholar.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering

statistical signal processing Compressive Sensing high dimensional statistics mathematical optimization statistical learning Wireless Communications

Ph.D. degree in electrical and computer engineering from the King Abdullah University of Science and Technology (KAUST) working with Professor Tareq Al-Naffouri in the Information System Lab (ISL),Assistant Professor with the Electrical Engineering Department at University of Ha'il