- Francesco Cordoni, (University of Trento, IT) – Machine Learning and Deep Learning models for modeling and predicting radiation-induced DNA damages in radiotherapy
- Idoia Cortes-Garcia, (TU Eindhoven, NL) – Modelling and simulation of magnetic levitation.
- Matthias Ehrhardt (Wuppertal University, DE) – Mathematical modelling to predict COVID-19 dynamics
- Michele Ginesi (University of Verona, IT) – Trajectory Learning via Stable Dynamical Systems
- Thomas Goetz (University of Koblenz-Landau, DE) – Influence of human mobility on the dynamics of COVID-spread
- Elisa Iacomini (RTWH Aachen, DE) – Impact of stop and go waves in vehicular traffic
- Ismael Medina & Olga Minevich (University of Goettingen, DE) – Optimization of renewable energy plant locations
- Giovanni Poccobelli (REVO, IT) – Time-space optimization of risk concentration for rainfall parametric insurance policies
- Andrea Di Luca, Marcus Vukojevic, Andrea Turso (Niris, IT) – Deep Learning for Modeling Filamentous Sludge Bulking
- Marek Skarupski (Wroclaw University of Science and Technology, PL) – How to win a horse?
