Mahdi Hosseini
Affiliate Member
Assistant Professor, Concordia University
Research Topics
Computer Vision
Deep Learning
Generative Models
Medical Imaging
Medical Machine Learning
Optimization
Representation Learning
Vision and Language
Biography
Dr. Mahdi S. Hosseini is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia and a winner of the prestigious 2023 Amazon Research Award for research on auto-populating synoptic reports in histopathology. Dr. Hosseini’s research is primarily advanced in foundational developments of deep learning and computer vision algorithms, which are efficiently designed for computational pathology applications. He is the director of the Atlas Analytics lab at Concordia and published several papers on related topics. Dr. Hosseini serves as an Area Chair for CVPR from 2022 to 2025, NeurIPS from 2023 to 2024 and ECCV 2024.