Mahdi S. Hosseini, Department of Computer Science and Software Engineering (CSSE) at Concordia University

Bio

I am an assistant professor of computer science in department of Computer Science and Software Engineering (CSSE) at Concordia University and a faculty member of Applied AI Institute at Concordia. I received my PhD from The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) at the University of Toronto (UofT) in 2016 from Multimedia Lab under the supervision of Professor Konstantinos N. Plataniotis. I continued as a postdoctoral research fellow at UofT in collaboration with Huron Digital Pathology Inc at Waterloo Ontario. During my postdoctoral study at UofT, I received two fellowship awards of MITACS-Elevate and NSERC research funding.

My research is primarily advanced in foundational developments of deep learning and computer vision algorithms with focused applications in computational pathology and healthcare technologies. I am currently supervising several graduate students on related topics and my vision is to develop, in collaboration with hospitals and pathologists, meaningful computer aided diagnosis systems as assistive tools in clinical pathology for cancer diagnosis.I have published more than 30 papers and two patent applications in related fields. My reviewing services cover well-known venues in CVF foundation, ML Conferences and IEEE SPS. Currently I am serving as Area Chair (AC) for NeurIPS2023 and CVPR2023. I was a previous AC for CVPR2022.

Area Chair (AC)

AC for ECCV2024

AC for CVPR2024

AC for NeurIPS2023

AC for CVPR2023

AC for CVPR2022

Grant Review

Conference Review

Program Committee of Workshop on Visual Recognition for Medical Images (ICCV2019)

Reviewer for CVPR2020, CVPR2021, CVPR2022

Reviewer for ICCV2019, ICCV2020

Reviewer for NeurIPS2020, NeurIPS2021, NeurIPS2022

Reviewer for ICML2020, ICML2023