Jalal Fadili

Jalal Fadili is a Professor at the National School of Engineers of Caen (ENSICAEN) and conducts research at the Research Group in Computer Science, Image, Automation and Instrumentation of Caen (GREYC - CNRS/ENSICAEN/Université Caen Normandie). He serves as director of the AISSAI center and was appointed as a junior member of the Institut Universitaire de France from 2013-2018.

His educational background includes:

• Engineering Degree in Signal Processing from ENSI Caen (1996)
• MSc in Signal and Image processing from the University of Caen (1996)
• PhD in Signal and Image processing from the University of Caen (1999)
• Habilitation in Signal and Image processing from the University of Caen (2010)

Professor Fadili's research focuses on signal and image processing, with particular emphasis on inverse problems, variational approaches, and optimization techniques. His work has significant applications in medical and astronomical imaging, including fMRI analysis where he developed wavelet-based methods for structural noise modeling and hypothesis testing. He has created numerous software tools for image processing tasks such as decomposition, inpainting, denoising, and deconvolution.

His professional progression shows steady advancement from Assistant Professor at the University of Caen (2000-2001), to Associate Professor at ENSICAEN (2001-2011), and currently Full Professor at ENSICAEN since 2011. His research has resulted in innovative methodologies including MCALab for morphological component analysis and various image restoration techniques.

His laboratory work centers around the GREYC research group, where he leads projects related to sparse representation-based image processing techniques and their applications across scientific domains.