14.11.2022
ITI Talks: Predicting injuries and Energy Communities
After a prolonged hiatus, the ITI Talks have resumed. These events are dedicated to sharing internally the research being currently developed by our researchers. This allows us to be up-to-date on the group’s latest research developments.
On November 10, the event joined the team from Lisbon and Funchal through live hybrid presentations in both cities to discuss research focusing on predicting injuries and energy communities
The speakers
Ph.D. student at the University of Madeira, Funchal
“Can We Predict Injuries on Elite Soccer Players? A Machine Learning Approach Using GPS Data”
Diogo N. Freitas completed a Master’s Degree in Mathematics, Statistics, and Applications in 2020 and a degree in Computer Engineering in 2017. He is currently a Ph.D. student in Computer Engineering at the Faculty of Exact Sciences and Engineering at the University of Madeira. Throughout his career, he won scholarships and distinctions, which included a Huawei academic merit scholarship (worth €5,000). His research interests include machine learning, stochastic optimization algorithm knowledge representation, and belief revision.
Nuno Velosa
Research assistant @ ITI, INESC-ID, Lisbon
“Exploring the potential of Multiple Knapsack in Energy Communities Load Balancing Schemes”