Mehul S Raval
Professor and Associate Dean - Experiential Learning
Ahmedabad, India
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Dr Raval is a researcher, educator, and mentor with over 25 years of experience and research expertise in computer vision, image processing, machine learning, data analytics, and engineering education. Dr. Raval has had the opportunity to engage in academic activities abroad and has received many accolades and awards. Dr. Raval's research has been published in reputable journals, magazines, conferences, and workshops, and his research has received support from institutions. He has been a reviewer for well-known publishers. He serves as Senior Editor and Associate Editor of IEEE Access and many other journals and has served IEEE.
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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).
Mehul S Raval
Professor and Associate Dean - Experiential Learning
Ahmedabad, India
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