Rachid Jennane is a full Professor of image processing at the University of Orleans (France) where he is affiliated to Denis Poisson Institute (IDP - UMR CNRS 7013). He received the Ph. D. degree in electrical engineering from the University of Orleans (France). His Ph. D. concerned modeling of fractal textures with an application to bone microarchitecture analysis. He has been the principal investigator of several research projects in the image & signal processing areas. He supervised more than 20 PhD and Master Students in the area of signal & image processing. His current research interests include the processing of nD medical images in a broad sense, although his focus is on machine and deep learning. Since 2006, he receives an annual grant of excellence research from the French Government. He co-authored numerous original journals and proceeding articles. Pr. Jennane also spent the academic year 1998 as a visiting professor at the Electrical Engineering Department of the University of Rhode Island (USA). He is a reviewer for major conferences and journals in the field of image analysis and pattern recognition. In 2015, he chaired and organized the IEEE-IPTA Conference. In 2014, in conjunction and with the support of IEEE-ISBI, he organized the TCB-Challenge. Since 2012, he is a member of the different Committees of IEEE-IPTA Conferences. He coedited two Special Sections on Driven Visual Information and Advances in Computational Intelligence for Multimodal Biomedical Imaging.