At KAUST, I am developing next-generation hardware and software, co-design new functional cameras for metrology, microscopy and virtual reality applications, adding tiny but significant contributions to the emerging computational imaging revolution all over the world.
Congli Wang PhD Student, EE

Education Profile

  • B.Eng., Electrical Engineering, Tianjin University, China, 2015
  • M.Sc., Electrical Engineering, KAUST, Thuwal, Saudi Arabia, 2016

Honors & Awards

  • Tianjin University Thesis Funding Program, 2014
  • Special Prize, Tianjin College Physics Contest, 2013

Professional Memberships

  • OSA student member
  • OSA-KAUST student chapter officer
  • ACM student member

Congli Wang is a Ph. D. candidate in the Computational Imaging Group (VCCIMAGING) under the supervision of Professor Wolfgang Heidrich at King Abdullah University of Science and Technology (KAUST). 

Education and Early Career

Congli Wang obtained his bachelor of engineering in Electrical Engineering from Tianjin University in China in 2015. After that, he joined KAUST and received his master degree in Electrical Engineering in 2016.

Research Interest

Congli is focusing in his research on Wavefront Sensing, Adaptive Optics, Computational Imaging and Computational Photography. He is working on experimental optical setups and numerical algorithms based on physical priors.

Honors and Awards

Congli received the Special Prize at Tianjin College Physics Contest in 2013. He was awarded with the Tianjin University Thesis Funding Program in 2014.

Selected Publications

Wang, C. (2018). Large-scale Comparative Study of Hi-C-based Chromatin 3D Structure Modeling Methods, (Thesis). https://hdl.handle.net/10754/627924
Wang, C., Dun, X., Fu, Q., & Heidrich, W. (2017). Ultra-high resolution coded wavefront sensor. Optics Express, 25(12), 13736. doi:10.1364/oe.25.013736
Wang, C. (2016). Coded Shack-Hartmann Wavefront Sensor, (Thesis). https://hdl.handle.net/10754/621951
Wang, J., Li, Y., Wang, Q., You, X., Man, J., Wang, C., & Gao, X. (2012). ProClusEnsem: Predicting membrane protein types by fusing different modes of pseudo amino acid composition. Computers in Biology and Medicine, 42(5), 564–574. doi:10.1016/j.compbiomed.2012.01.012
Wang, J., Li, Y., Zhang, Y., Wang, C., Xie, H., Chen, G., & Gao, X. (2011). Notice of Violation of IEEE Publication Principles - Bag-of-Features Based Medical Image Retrieval via Multiple Assignment and Visual Words Weighting. IEEE Transactions on Medical Imaging, 30(11), 1996–2011. doi:10.1109/tmi.2011.2161673