Siavash Gorji
About Siavash Gorji
Siavash Gorji is an AI researcher based in Montreal, Canada, who has worked at SPORTLOGiQ since 2018 and has been a Graduate Research Assistant at McGill University since 2013. He holds a PhD in Electrical and Electronics Engineering from McGill University, where he co-authored a paper on Group Activity Detection in Soccer presented at CVPR 2020.
Work at SPORTLOGiQ
Siavash Gorji has been employed at SPORTLOGiQ as an AI Researcher since 2018. In this role, he focuses on developing advanced artificial intelligence solutions for sports analytics. His work contributes to the company's mission of leveraging data to enhance performance insights in various sports. Located in the Montreal, Canada Area, Gorji plays a key role in the research and development team, applying his expertise in AI to improve the understanding of sports dynamics.
Education and Expertise
Siavash Gorji earned a Doctor of Philosophy (PhD) in Electrical and Electronics Engineering from McGill University, where he studied from 2013 to 2019. His academic background provides a strong foundation in engineering principles and research methodologies. Gorji's expertise lies in artificial intelligence, particularly in the context of sports analytics and data processing.
Background
Gorji has been associated with McGill University since 2013, where he currently serves as a Graduate Research Assistant. His long-term involvement with the university has allowed him to engage in various research projects, enhancing his knowledge and skills in AI and engineering. This dual role at both McGill University and SPORTLOGiQ demonstrates his commitment to advancing research in artificial intelligence applications.
Achievements in Research
Siavash Gorji co-authored a paper titled 'Group Activity Detection from Trajectory and Video Data in Soccer,' which was presented at the Conference on Computer Vision and Pattern Recognition (CVPR) in 2020. This work highlights his contributions to the field of computer vision and its applications in sports, showcasing his ability to integrate theoretical research with practical implementations.