I am a computer vision and machine learning researcher and a professional software developer with over 15 years of experience. I hold a PhD from Department of Electrical Engineering and Computer Science, York University. My research is focused on video understanding for sports.

News

• Sep 2025 - Successfully defended my PhD Dissertation
• Jan 2025 - Teaching LE EECS2001: Introduction to the Theory of Computation
• Jan 2025 - Our paper “Towards long-term player tracking with graph hierarchies and domain-specific features” accepted to WACV 2025 Computer Vision for Winter Sports Workshop.
• Apr 2024 - Passed qualifying exam
• Apr 2024 - Paper M. Koshkina, J.H. Elder “A General Framework for Jersey Number Recognition in Sports Video” accepted to CVPR Computer Vision in Sports Workshop.
• Dec 2021 - Completed Applied AI internship at Vector Institute. Presented my work: MLOps for Healthcare
• Sep 2021 - Joined Vector Institute as an Applied AI Intern.
• Jun 2021 - “Contrastive Learning for Sports Video: Unsupervised Player Classification” is a runner-up for Sportlogiq Best Paper Award.
• May 2021 - Presented invited talk “Towards Sports Video Understanding: Player Detection, Classification and Tracking” at Ontario Tech University.
• Apr 2021 - Paper M. Koshkina, H. Pidaparthy, J.H. Elder “Contrastive Learning for Sports Video: Unsupervised Player Classification” accepted to CVPR Computer Vision in Sports Workshop.
• Jan 2021 - Started as Machine Learning Team Lead (part-time) at RPS Canada Inc. (Formerly Geminare).