Dr. Sasan Mahmoodi is an assocaite Professor in VLC (Vision, Learning and Control) research group in the School of Electronics and Computer Science (ECS) at the University of Southampton. During his PhD at the University of Newcastle upon Tyne, he worked on a novel automated method for children’s age assessment to control/avoid growth disorders to analysis children’s hand X-rays. He has a track record in signal and image segmentation and analysis with various applications. In 1999, Dr. Mahmoodi started his research as a research fellow in the Wellcome Trust funded research program in Newcastle University to model biological vision. In 2007, he was appointed as a lecturer in the School of Electronics and Computer Science, Southampton University. Dr. Mahmoodi has led several biometric research studies such as Gait, Ear, and Face biometrics. He has been one of the founders of soft biometrics. He has also led several medical image analysis research studies on the MR image analysis for HIE detection and prognosis, Emphysema prognosis using lung CT-scan and probe-based Confocal Laser Endomicroscopy (pCLE) images, 3D lung segmentation, Emphysema detection and diagnosis, Children growth corrections using hand X-rays analysis, and Astoprosis detection and bone fracture discrimination. Dr. Mahmoodi has organised and been the chair of Medical Image Understanding and Analysis (MIUA) in 2018 in Southampton University and has been a chair for CGDIP in 2018 and 2019. Dr. Mahmoodi as a principal investigator was awarded a grant from Defence Science and Technology Laboratory (DSTL) for the Gait Analysis project. Dr. Mahmoodi has also been a co-investigator of the collaborative PinView European project with Grant number 216529. Dr. Mahmoodi is a member of IEEE and the chair of MIUA and CGDIP steering committees. He is also an editor for Multidimensional Systems and Signal Processing.