- Ph.D., Gaseous Pollutants Characterization using Airborne Hyperspectral Measurements at High Spatial Rresolution, The French Aerospace Lab (ONERA) and the University of Toulouse (ISAE), France, 2015
- MRes., Signal, Image, Acoustics and Optimization (SIAO), Higher Educational Institution in Toulouse (ENSEEIHT), France, 2011
- B. Eng., Space System & Image Processing, National Higher French Institute of Aeronautics and Space (ISAE/SUPAERO), France, 2011
- IEEE Signal Processing Society
- IEEE Geoscience and Remote Sensing Society
- ACM Siggraph
Ramzi Idoughi 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
Ramzi obtained his engineering degree in Space System and Image Processing from National Higher French Institute of Aeronautics and Space (ISAE/SUPAERO) in France in 2011. Later, he received his master degree in Signal, Image, Acoustics and Optimization (SIAO) from Higher Educational Institution in Toulouse (ENSEEIHT) in France in 2011. After that in 2015, he received his doctoral in Gaseous Pollutants Characterization using Airborne Hyperspectral Measurements at High Spatial Resolution from The French Aerospace Lab (ONERA) and the University of Toulouse (ISAE) in France.
During his studies in 2009, Dr. Idoughi was an intern for 10 months period at Airbus Defense and Space (EADS-Astrium) in Toulouse, France. After that in 2011, he had a 5 month internship at EL-Khroub Hospital in Constantine, Algeria. He worked as a teaching assistant in both IUT GMP Toulouse (2013) and later at INSA Toulouse (2014) in Toulouse, France.
Ramzi joined KAUST in 2016 as a postdoctoral fellow at first. Now, he’s working as a research scientist at the Visual Computing Center (VCC).
His research interests lie in signal and image processing, inverse problems and optimization for applied physics issues.
Dr. Idoughi has many publications in his research field. One of the papers that he co-authored with Guangming Zang, Mohamed Aly, Peter Wonka, and Wolfgang Heidrich is titled “Super-Resolution and Sparse View CT Reconstruction” which was represented in European Conference on Computer Vision (ECCV 2018) in Munich.