🌟 I’m actively seeking opportunities as an Assistant Professor in AI or Data Science. If you know of any openings, I’d love to connect!
Hello! I’m Nour, and I hold a PhD in AI for medical imaging from the University of British Columbia, where I conducted my research within the Biomedical Signal and Image Computing Laboratory (BiSICL). My work, supported by the prestigious NSERC PhD Vanier fellowship, focused on advancing lifelong learning and domain generalization in deep networks for medical applications. I had the privilege of being mentored by Professor Rafeef Garbi and collaborating with Professor Ghassan Hamarneh from the Medical Image Analysis Laboratory (MIA) at Simon Fraser University.
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!
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February 2025
Thrilled to announce that I have successfully defended my PhD thesis! -
February 2025
Excited to start the Foundations of Pedagogy course 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 2024
Thrilled to be selected as a new member of the MICCAI Student Board 2025 for the position of Doctoral Programs Officer. -
December 2024
Scholarship 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 2024
Proud 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 2024
Debiasify: Self-Distillation for Unsupervised Bias Mitigation has been accepted @ WACV 2025. -
October 2024
I am honored to join the 11th Workshop on Medical Computer Vision @ CVPR 2025 as a program committee member. -
October 2024
BiasPruner 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 2024
BiasPruner was selected for an oral presentation @ MICCAI 2024 in Morocco. -
May 2024
BiasPruner: Debiased Continual Learning for Medical Image Classification has been accepted @ MICCAI 2024 (EARLY ACCEPT!). -
May 2024
GC2: Generalizable Continual Classification of Medical Images has been accepted @ IEEE Transactions on Medical Imaging (TMI) 2024 (IF~10). -
May 2024
Excited to join CogniaAI as a Machine Learning Engineer Intern. -
April 2024
Continual-Zoo: Leveraging Zoo Models for Continual Classification of Medical Images has been accepted @ CLVISION-Workshop @ CVPR 2024. -
December 2023
Selected as a mentee in SBME's Career Accelerator, in partnership with STEMCELL Technologies and Advice to a Scientist. -
October 2023
Awarded Best Paper for AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets at the 8th ISIC Workshop @ MICCAI 2023. -
October 2023
I had the privilege of serving as a panelist at the ISIC Workshop and presented our project Continual-GEN through an oral presentation. -
July 2023
Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification has been accepted @ the 8th ISIC Workshop @ MICCAI 2023. -
July 2023
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets has been accepted @ the 8th ISIC Workshop @ MICCAI 2023. -
June 2023
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets has been accepted @ MICCAI 2023. -
May 2023
Awarded Best Paper for FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning at the 7th ISIC Workshop @ ECCV 2022. -
August 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning has been accepted @ ECCV ISIC Workshop 2022. -
April 2022
Honored to receive the prestigious Vanier PhD Scholarship from NSERC Canada. -
March 2022
BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features has been accepted @ CVPR 2022. -
June 2021
Awarded the 2021 MICCAI Student Travel Award! -
May 2021
Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification has been accepted @ MICCAI 2021 (EARLY ACCEPT!).