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.

Citations: 0 | H-Index: 0 | i10-Index: 0

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