Tolga Kaya
Professor and Director - Engineering
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Dr. Tolga Kaya is a Professor and Director of Electrical and Computer Engineering programs at the School of Computer Science and Engineering. Dr. Kaya’s research primarily focuses on sports data analytics on wearable devices to monitor athletes’ physiology. He currently incorporates machine learning techniques to predict athlete performance and injury. He is well-known in the field of hydration research and sports data analytics. Besides his Ph.D. in Electronics Engineering, Dr. Kaya also has an M.A. in Education Technology and an MBA.
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Area of Expertise
Maximizing Performance and Reducing Injuries in Basketball
The talk covers the development of a decision support system (DSS) for athletes and coaches using sports analytics that significantly improves athletes' game performance while reducing their injury risk. It showcases a framework for collecting and integrating data from different sources (wearables, training, videos, practice data, questionnaires, and inputs from coaches) for developing predictive Machine Learning models. It discusses a longitudinal study over four seasons (2020 – 2023) and performs a causative analysis of physiological, training, and cognitive features on the performance and injury risk facilitating eXplainable AI (XAI).
Data Makers Fest 2024 Sessionize Event Upcoming
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