Adaptive Optics

KAUST’s eye-inspired imaging approach wins Best Paper Award at SIGGRAPH Asia 2025

3 min read ·
Fovea Stacking rethinks camera design by combining localized optical correction with computational reconstruction.

Gyan Deep Verma

Postdoctoral Research Fellow, Electrical and Computer Engineering
Gyan Deep verma works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Gyan Deep Verma received his B.Tech. degree in Electronics Engineering from Harcourt Butler Technological Institute, Kanpur, Uttar Pradesh, India, in 2015, and his M.Tech. degree in Communication Systems Engineering from the Indian Institute of Technology (IIT) Patna, Bihar, India, in

Congli Wang

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