In the IDEA Lab we work on various projects using Machine Learning and Data Analysis Techniques.
In sports, IDEA Lab. members have developed methods that are capable of analyzing a soccer game at an unprecedented scale. Through statistical machine learning and mathematical models validated by soccer experts, every run and pass a player makes and its potential benefits for the team can be analyzed. The insights provided enables players, coaches and commentators to analyze and visualize every single decision made during a game or even the entire season.
In education, the research focus is on use advanced natural language processing and deep learning to develop personalized educational applications and content. Making large-scale, automated generation of free to use educational content is a research priority. Keeping with the spirit of the lab., close collaborations with practicing teachers ensures practical relevance of the developed methods.