The fun in computational imaging is to extend the human vision by jointly developing hardware and software, such that people can see the unseen, and see the seen in novel perspectives.
Qiang Fu Research Scientist, CS

Education Profile

  • B. S., Manufacturing and Design Automation of Machinery, University of Science and Technology of China, China, 2007
  • Ph. D., Optical Engineering, University of Chinese Academy of Sciences, China, 2012

Professional Memberships

ACM member

Location

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, specifically in 2014, he joined KAUST as a Postdoctoral Research Fellow. He went back to China and worked as a Research Associate Professor at ShanghaiTech University for about 1 year before he returned again to KAUST as a Research Scientist in the Visual Computing Center (VCC).

Research Interest

Qiang Fu is focusing in his research on computational imaging, optical system design, diffractive optics, micro/nano-fabrication, compressive sensing, spectral imaging and applications remote sensing.

Selected Publications

Qiang Fu co-authored many publications under his research field. The most recent paper is under the title “Reconfigurable rainbow PIV for 3D flow measurement” by Jinhui Xiong, Qiang Fu, Ramzi Idoughi, and Wolfgang Heidrich. This paper was published in 2018 in IEEE International Conference on Computational Photography (ICCP).