Mahdiyar Molahasani
I am an ML Research Scientist at Captura (since June 2025), developing cutting-edge, efficient ML solutions for the photography industry. I recently completed my Ph.D. at Ingenuity Labs, Queen's University, where my research focused on continual learning, federated learning, and domain generalization. I received my M.Sc. from the University of Saskatchewan in 2021, where I worked on super-resolution, automated diagnosis, and Capsule GANs.
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Latest News
- [Jun 25] Thrilled to share our paper got accepted in ICCV 2025
- [Jun 25] I started a new role as an ML Research Scientist at Captura
- [May 25] I successfully defended my PhD thesis at Queen's University and completed my degree
- [Dec 24] Our paper got accepted in ICASSP 2025
- [Dec 24] Our work got accepted in AAAI 2025
- [Oct 24] Our paper got accepted in the NeurIPS M3L Workshop 2024
- [Oct 23] Our work is accepted in the NeurIPS M3L Workshop 2023
- [Jun 23] Our work got accepted in ICIP 2023
- [Feb 23] Our paper is published in Multimedia Tools and Applications
- [Jan 22] Our paper got accepted in ICASSP 2023
Research
AI scientist with more than 8 years of research experience. Published 17 impactful papers presented in top venues (e.g. ICCV, AAAI, NeurIPS, ICASSP, ICIP, etc.) with 500+ citations. Proven expertise in scalable AI systems, fairness, and computer vision, with a strong focus on advancing AI for real-world applications through collaboration and practical solutions.
Professional Experience
- ML Research Scientist - Captura, Vancouver, BC, Canada (July 2025–Present)
- Graduate Research Assistant - Ingenuity Labs Research Institute, Queen's University, ON, Canada (2021–2025)
- Expert LLM Trainer & Evaluator - Outlier AI, Oakland, CA, USA (remote) (Aug 2024–2025)
- Graduate Research Assistant - Department of ECE, University of Saskatchewan, SK, Canada (2019–2021)
- Research Intern - Machine Vision Lab, Iran University of Science and Technology, Iran (2016–2018)
Education
- Ph.D. Electrical and Computer Engineering, Queen's University, ON, Canada. (GPA 4.3/4.3) 2021–2025
- M.Sc. Electrical and Computer Engineering, University of Saskatchewan, SK, Canada. (GPA 4/4) 2019–2021
- B.Sc. Electrical Engineering - Electronics, Iran University of Science and Technology, Iran. (GPA 3.8/4) 2013–2018
Academic Achievements & Awards
- Top Reviewer Recognition - NeurIPS 2024 (complimentary conference registration award)
- Graduate Research Fellowship - Queen's University (2021-2025)
- Devolved Scholarship - Department of ECE, University of Saskatchewan (2020-2021)
- Graduate Research Scholarship - University of Saskatchewan
Peer Review
- Conferences: NeurIPS, ICLR, ICML, AAAI, AISTATS, ICML Workshops, AAAI Workshops
- Journals: TMLR, IEEE Transactions on Multimedia, IEEE Transactions on Artificial Intelligence