AI in Sports: Democratizing Sport Analytics Tools Beyond Professional Leagues

#signal #machine #learning #processing

The Montreal Chapter of the IEEE Signal Processing (SP) Society cordially invites you to attend the following talk, to be given by Dr. Mehrsan Javan, Co-Founder and CTO of Sportlogiq, on Wednesday May 31st 2023, from 2:00pm to 3:00pm at Concordia University (EV-Building Room EV003.309).

  Date and Time




  • Date: 31 May 2023
  • Time: 02:00 PM to 03:00 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
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  • 1515 Rue Ste-Catherine W.
  • Montreal, Quebec
  • Canada H3G-2W1
  • Building: EV Building
  • Room Number: EV003.309

  • Contact Event Host
  • Prof. Arash Mohammadi,
    CIISE Department, Concordia University
  • Starts 24 May 2023 08:48 AM
  • Ends 31 May 2023 12:48 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • No Admission Charge


Dr. Mehrsan Javan Dr. Mehrsan Javan of Co-Founder and CTO of Sportlogiq


AI in Sports: Democratizing Sport Analytics Tools Beyond Professional Leagues

Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this requires a fully automated, robust end-to-end pipeline, spanning from visual input, to player and group activities, to player and team evaluation to planning. Despite major advancements in computer vision and machine learning, today sports analytics solutions are limited to top leagues and are not widely available for down-market leagues and youth sports. In this talk, we explain what sport analytics is about, and how Sportlogiq has developed scalable and robust computer vision and machine learning solutions to democratize sport analytics and offer pro-league-level insights to leagues with modest resources, including youth leagues.


Dr. Mehrsan Javan, PhD, MBA, is the Co-Founder and CTO of Sportlogiq, the AI platform for sport analytics that provides advanced game insights to teams, leagues, media organizations, betting operators, and rights holders of all sizes. He holds a PhD in Computer Vision and Machine Learning and has over a decade of experience in building intelligent systems. His passion is new technologies; he has a particular interest in intelligent systems and their positive impacts on our daily lives. Dr. Javan is also an adjunct faculty member in the ECE Department at McGill University. He has published numerous research articles in top tier journals and conferences, and has invented several patents and pending patent applications.