cv
Academic CV and professional experience of Amir Nazemi, Ph.D. - Postdoctoral Researcher in Computer Vision and Machine Learning at University of Waterloo.
Basics
Name | Amir Nazemi |
Label | Postdoctoral Researcher |
amir.nazemi@uwaterloo.ca | |
Phone | +1(226) 581-4634 |
Url | https://vip.uwaterloo.ca/amir-nazemi/ |
Summary | Postdoctoral researcher specializing in computer vision, machine learning, and AI applications in sports analytics and medical data analysis |
Work
-
2024.01 - Present Research Collaboration
Stathletes Inc
Ice hockey broadcast video analysis
- Sports analytics
- Video processing
- Real-time analysis
-
2024.01 - Present Postdoctoral Researcher
University of Waterloo
Sport Analytics Research Group - Homography estimation, Puck detection, Player action recognition, Game event detection
- Ice hockey broadcast video analysis
- Computer vision for sports analytics
- AI for real-time game analysis
-
2023.01 - 2024.01 Research Collaboration
Moonrise Medical Inc
Developing Machine Learning models on Doppler ultrasound data
- Medical imaging
- Doppler ultrasound
- Machine learning
-
2023.01 - 2024.01 Postdoctoral Researcher
University of Waterloo
AI for Medical Data, Diffusion Models for Inverse Problems, Video Understanding, AI for Dietary Data
- Diffusion models for inverse problems
- Medical data analysis
- Video understanding
- Dietary data modeling
-
2020.01 - 2024.01 Research Collaboration
Microsoft Office Media Group
Machine Learning for visual relation detection and semi-supervised video object segmentation
- Visual relation detection
- Video object segmentation
- Semi-supervised learning
-
2017.01 - 2018.01 Research Intern
INRIA STARS Team
Recognizing human actions using RGB videos
- Human action recognition
- Computer vision
- Video analysis
-
2013.01 - 2015.01 Co-founder
Pars Tadbir Intelligent Processing Co.
Virtual showroom platform powered by AI and augmented reality (AR) technology
- AI applications
- Augmented reality
- Virtual showroom
- Entrepreneurship
-
2012.01 - 2017.01 Management and Development
Shiraz University
Industrial projects including vision-based vehicle speed estimation and vehicle make/model recognition systems
- Project management
- Computer vision systems
- Traffic safety applications
Education
-
2019.01 - 2023.01 Waterloo, Canada
PhD
University of Waterloo
Systems Design Engineering
- Continual Learning-based Video Object Segmentation
-
2011.01 - 2014.01 Shiraz, Iran
-
2006.01 - 2010.01 Kerman, Iran
BSc
Shahid Bahonar University of Kerman
Computer Software Engineering
- Multi-National Particle Swarm Optimization Algorithm
Awards
- 2025.01.01
Best Paper Award in the Hockey Analytics Conference
Linköping Hockey Analytics Conference
Buzko K., Nazemi A., Clausi DA., Chen Y. Ice Hockey Action Recognition via Contextual Priors
- 2019.01.01
International Doctoral Student Award
University of Waterloo
Awarded for academic excellence during PhD studies
- 2020.01.01
CVPR Challenge Finalist
IEEE/CVF Conference on Computer Vision and Pattern Recognition
Tong J, Nazemi A, Shafiee M, Fieguth P. CLVision 2020 Challenge Solution
- 2015.01.01
Iran Police National Traffic Safety Award
Iran Police
For 'Iranian on road vehicles Make and Model Recognition System'
Certificates
Fundamentals of University Teaching (FUT) | ||
University of Waterloo Center for Teaching Excellence | 2022-01-01 |
Publications
-
2025.01.01 New Views of Shots-Towards Measures of Net Visibility and Reachability
Linköping Hockey Analytics Conference
Iaboni E., Negulescu S., Pitassi M., Nazemi A., Bright J., Chomko V., Clausi DA., Dickinson S., Brecht T. Position Paper: New Views of Shots-Towards Measures of Net Visibility and Reachability. In Linköping Hockey Analytics Conference. 2025.
-
2025.01.01 Ice Hockey Action Recognition via Contextual Priors
Linköping Hockey Analytics Conference
Buzko K., Nazemi A., Clausi DA., Chen Y. Position Paper: Ice Hockey Action Recognition via Contextual Priors. In Linköping Hockey Analytics Conference. 2025. (Best Paper Award)
-
2024.01.01 Memory-Efficient Continual Learning Object Segmentation for Long Videos
IEEE Access
Nazemi, A., Shafiee, M.J., Gharaee, Z. and Fieguth, P. Memory-Efficient Continual Learning Object Segmentation for Long Videos. IEEE Access. 2024
-
2024.01.01 Particle-Filtering-based Latent Diffusion for Inverse Problems
arXiv preprint
Nazemi, A., Sepanj, M.H., Pellegrino, N., Czarnecki, C. and Fieguth, P. Particle-Filtering-based Latent Diffusion for Inverse Problems. arXiv preprint, 2024.
-
2023.01.01 CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
IEEE/CVF Conference on Computer Vision and Pattern Recognition
Nazemi, A., Moustafa, Z., Fieguth, P. Clvos23: A long video object segmentation dataset for continual learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023.
-
2019.01.01 Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning
IEEE Transactions on Intelligent Transportation Systems
Nazemi, A., Azimifar, Z., Shafiee, M.J., Wong, A. Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning. IEEE Transactions on Intelligent Transportation Systems. 2019.
-
2018.12.01 Human Perception-based Image Enhancement Using a Deep Generative Model
Journal of Computational Vision and Imaging Systems
Nazemi, A., Kamyab, S., Azimifar, Z., Fieguth, P. Human Perception-based Image Enhancement Using a Deep Generative Model. Journal of Computational Vision and Imaging Systems. 2018 Dec 24;4(1):3-.
Skills
Computer Vision | |
Video Object Segmentation | |
Continual Learning | |
Action Recognition | |
Image Processing | |
Deep Learning |
Machine Learning | |
Neural Networks | |
Diffusion Models | |
Semi-supervised Learning | |
Pattern Recognition | |
Statistical Modeling |
Sports Analytics | |
Ice Hockey Analysis | |
Homography Estimation | |
Player Tracking | |
Game Event Detection | |
Broadcast Video Analysis |
Medical AI | |
Medical Imaging | |
Doppler Ultrasound | |
Dietary Data Analysis | |
Inverse Problems | |
Healthcare Applications |
Programming | |
Python | |
PyTorch | |
TensorFlow | |
Computer Vision Libraries | |
Data Analysis |
Languages
English | |
Fluent |
Persian | |
Native |
Interests
Computer Vision | |
Video Analysis | |
Object Detection | |
Image Processing | |
Deep Learning |
Sports Analytics | |
Ice Hockey | |
Player Tracking | |
Game Analysis | |
Performance Metrics |
Medical AI | |
Medical Imaging | |
Healthcare | |
Diagnostic Tools | |
Patient Care |
Teaching | |
University Education | |
Graduate Courses | |
Student Mentorship | |
Academic Development |
References
References available upon request | |
Professional references are available upon request for academic and professional inquiries. |
Projects
- 2024.01 - Present
Ice Hockey Analytics System
Development of computer vision systems for real-time ice hockey analysis including player tracking, action recognition, and game event detection
- Computer Vision
- Sports Analytics
- Real-time Processing
- 2023.01 - 2024.01
Medical Data Analysis Platform
AI-powered analysis of medical data including Doppler ultrasound and dietary intake modeling with measurement error handling
- Medical AI
- Data Analysis
- Machine Learning
- 2019.01 - 2023.01
Continual Learning Video Segmentation
PhD research on memory-efficient continual learning for video object segmentation in long videos
- Continual Learning
- Video Processing
- Memory Optimization
- 2012.01 - 2017.01
Vehicle Recognition System
Real-time vehicle make and model recognition system for traffic safety applications
- Computer Vision
- Traffic Safety
- Real-time Processing