Hi, I’m Nour! I’m currently a postdoctoral research fellow at BC Cancer Research Institute, working in the Quantitative Radiomolecular Imaging and Therapy Lab (Qurit) (pronounced Cure-It!), supervised by Prof. Arman Rahmim, to advance AI-driven radiomolecular imaging and therapy for better cancer care. I hold a PhD in Electrical and Computer Engineering from the University of British Columbia (UBC), where I was part of the Biomedical Signal and Image Computing Lab (BiSICL) under Prof. Rafeef Garbi. My PhD research was supported by the prestigious NSERC Vanier Canada Graduate Scholarship and it focused on improving AI for medical imaging, especially lifelong learning, domain generalization, fairness and bias mitigation. I also collaborated with Prof. Ghassan Hamarneh at SFU’s Medical Image Analysis Lab (MIAL).
I have extensive experience in teaching, curriculum development and lab management. I’ve served as an instructor, lab engineer, workshop engineer, teaching assistant and private tutoring. My skills include developing training materials, conducting needs assessments, grading, managing lab equipment, supervising projects, and implementing safety protocols. I’m also adept at delivering high-standard training, creating flexible assessment tools, and enhancing online and in-person learning environments. In addition to academia, I have gained industrial experience as a Machine Learning Engineer Intern at Cognia AI during my PhD and as an HPC Expert Intern at Ankabut during my undergraduate studies.
Recent News!
July 2025I’m thrilled to be starting as a postdoctoral research fellow at BC Cancer in Vancouver, where I’ll be joining the Quantitative Radiomolecular Imaging and Therapy (Qurit) Lab (Cure-It!) to advance AI-driven imaging and therapy for improved cancer care.
May 2025I’m excited to announce that I’ve successfully completed the Foundations of Pedagogy course through the Centre for the Integration of Research, Teaching and Learning (CIRTL) at UBC, and with it, I have become a CIRTL Associate! View certificate.
February 2025Thrilled to announce that I have successfully defended my PhD thesis! Read it here.
February 2025Excited to start the Foundations of Pedagogy course through the Centre for the Integration of Research, Teaching and Learning (CIRTL) at UBC! This course explores key principles of effective teaching, learning theories, and best practices for fostering student engagement. Looking forward to gaining new insights and applying them to my teaching!
December 2024Thrilled to be selected as a new member of the MICCAI Student Board 2025 for the position of Doctoral Programs Officer.
December 2024Scholarship Spotlight! Thrilled to be featured on Global Scholarships, a platform dedicated to empowering international students and sharing their inspiring scholarship success stories. Read more
November 2024Proud to be Named a 2023-2024 Borealis AI Fellowship Recipient for Pioneering Research Advancing the Frontiers of Machine Learning and Artificial Intelligence. Thank you, RBC Borealis! Read more
October 2024Debiasify: Self-Distillation for Unsupervised Bias Mitigation has been accepted @ WACV 2025.
October 2024I am honored to join the 11th Workshop on Medical Computer Vision @ CVPR 2025 as a program committee member.
October 2024BiasPruner Recognized! Our work BiasPruner was awarded Winner of the WiM Best Health Equity Paper, Runner-Up of the WiM Best Oral Presentation Award, and shortlisted for the MICCAI Best Paper Award and MICCAI Young Scientist Award.
September 2024BiasPruner was selected for an oral presentation @ MICCAI 2024 in Morocco.
May 2024BiasPruner: Debiased Continual Learning for Medical Image Classification has been accepted @ MICCAI 2024 (EARLY ACCEPT!).
May 2024GC2: Generalizable Continual Classification of Medical Images has been accepted @ IEEE Transactions on Medical Imaging (TMI) 2024 (IF~10).
May 2024Excited to join CogniaAI as a Machine Learning Engineer Intern.
April 2024Continual-Zoo: Leveraging Zoo Models for Continual Classification of Medical Images has been accepted @ CLVISION-Workshop @ CVPR 2024.
December 2023Selected as a mentee in SBME's Career Accelerator, in partnership with STEMCELL Technologies and Advice to a Scientist.
October 2023Awarded Best Paper for AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets at the 8th ISIC Workshop @ MICCAI 2023.
October 2023I had the privilege of serving as a panelist at the ISIC Workshop and presented our project Continual-GEN through an oral presentation.
July 2023Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification has been accepted @ the 8th ISIC Workshop @ MICCAI 2023.
July 2023AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets has been accepted @ the 8th ISIC Workshop @ MICCAI 2023.
June 2023MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets has been accepted @ MICCAI 2023.
May 2023Awarded Best Paper for FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning at the 7th ISIC Workshop @ ECCV 2022.
August 2022FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning has been accepted @ ECCV ISIC Workshop 2022.
April 2022Honored to receive the prestigious Vanier PhD Scholarship from NSERC Canada.
March 2022BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features has been accepted @ CVPR 2022.
June 2021Awarded the 2021 MICCAI Student Travel Award!
May 2021Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification has been accepted @ MICCAI 2021 (EARLY ACCEPT!).