CONTACT INFORMATION
PROFILE
EDUCATION
- University of British Columbia (UBC)
- Supervisor: Mark Schmidt
- GPA: 4.0/4.0
- King Fahd University of Petroleum & Minerals (KFUPM)
- Thesis Topic: New Algorithms for Deep Learning Machines
- Advisor: Dr. Lahouari Ghouti
- GPA: 4.0/4.0
- King Fahd University of Petroleum & Minerals (KFUPM)
- Last 2 years GPA: 4.0/4.0
WORK EXPERIENCE
COMMUNITY LEADERSHIP
Founded and lead the Vancouver AI Meetup, bringing together 500+ members across Vancouver to meet, build, and share cool AI projects. The community organizes monthly events, workshops, and programs to foster collaboration and innovation in artificial intelligence.
Designed and delivered multiple intensive 6-week AI building courses through Vancouver AI Meetup, teaching participants to develop practical AI applications from concept to deployment. Programs cover machine learning fundamentals, model development, and real-world implementation.
PUBLICATIONS
Author and co-author of 50+ peer-reviewed publications in top-tier machine learning, computer vision, and natural language processing conferences and journals including NeurIPS, ICML, ICLR, CVPR, ECCV, and BMVC.
Research contributions span areas including few-shot learning, self-supervised learning, large-scale optimization, object detection, image segmentation, and neural language models. Work has been cited over 3,500 times with multiple papers receiving spotlight and oral presentations.
Notable publication venues include:
- Neural Information Processing Systems (NeurIPS)
- International Conference on Machine Learning (ICML)
- International Conference on Learning Representations (ICLR)
- Computer Vision and Pattern Recognition (CVPR)
- European Conference on Computer Vision (ECCV)
- British Machine Vision Conference (BMVC)
- Association for Computational Linguistics (ACL/EMNLP)
For a complete list of publications, please visit: Publications Page
WORKSHOPS
- A challenge chair for a CVPR2020 continual learning workshop
- A co-organizer for the CVPR 2023 L3D-IVU workshop
- A co-organizer for the CVPR 2024 L3D-IVU workshop
CODING EXPERIENCE
Highly skilled at Python and Pytorch and have created and contributed over hundreds of influential Github repositories for robust, reproducible research and open-source products (https://github.com/IssamLaradji).
RESEARCH COMMUNITY SERVICE
Reviewed papers for the following conferences and journals: AISTATS, TPAMI, ICML, NeurIPS, CDMA, BMVC, ICLR, WACV, AAAI, MAIS, CVPR, ECCV/ICCV, EMNLP, Neural Networks, and Neurocomputing.
- Created and Organized the CVPR 2022 Workshop on Learning from Limited Labelled Data for Image and Video Understanding
- Led the challenge for the CVPR 2020 Workshop on Continual Learning in Computer Vision
RECENT SEMINARS
Made tutorials and demos around best practices for building, managing, and visualizing large-scale experiments, large language models, 2D/3D Computer Vision and Optimization at UBC, Youtube, McGill, and KFUPM.
INTERN & STUDENT SUPERVISION
- Supervised Amirhossein Abaskohi, a student at University of British Columbia that led to multiple papers at NeurIPS workshop papers
- Supervised Amrutha Ramesh, a student at University of British Columbia that led to multiple papers at NeurIPS workshop papers
- Supervised Gaurav Sahu, a student at University of Waterloo that led to multiple papers at EMNLP
- Supervised Yuhongze Zhou, a student at McGill that led to a spotlight paper at BMVC2022
- Supervised Michael Noukhovitch, a student at MILA that led to a workshop paper at NeurIPS 2022
LARGE-SCALE EXPERIMENTS
Created an influential codebase called Haven-AI (https://github.com/haven-ai/haven-ai) to help people launch, manage, and visualize thousands of reproducible experiments so that they get research papers published, win at competitions and develop great products.
TEACHING EXPERIENCE
- McGill Capstone - Created large-scale experimentation framework (2020-2021)
- UBC CPSC 340 course - Machine Learning and Data Mining (2015-2016)
- UBC CPSC 210 course - Software Construction (2015)
- UBC CPSC 221 course - Basic Algorithms and Data Structures (2015)
- UBC CPSC 422 course - Advanced Artificial Intelligence (2015)
- UBC CPSC 322 course - Artificial Intelligence (2014)
AWARDS AND SCHOLARSHIPS
- MITACS Postdoc Accelerate award (2020)
- Teaching assistant award at UBC CS department (2015)
- Big Data University Innovation Prize at SportsHack (2015)
- Google Summer of Code (2014)
- PhD Four Year Fellowship at UBC (2016-2020)