Research

Thesis title: "Developing a Machine Learning-Based Spatio-Temporal Performance Evaluation Framework for Basketball Coaching: Applications and Techniques"

Thesis outline: In this dissertation, I propose to enhance basketball coaching strategies through the application of spatio-temporal analytics. The research seeks to explore the profound insights spatio-temporal data analysis can offer to inform coaching decisions, assess the efficacy of various coaching strategies, and ultimately devise a comprehensive framework for integrating spatio-temporal analytics into basketball coaching practice. By bridging the gap in current literature and presenting tangible applications of spatio-temporal data analysis in the realm of basketball coaching, my study aims to provide valuable contributions to both academia and the practical domain of sports coaching.

Funding: China Scholarship Council (No. 202306520013)

Supervisor: Arnold Baca, Advisor: Juliana Exel 

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