Theme 2021: Mathematics of Information: Theory and Application

The second JADS cohort focuses on the theme “Mathematics of Information: Theory and Application”. Professor Johannes Zimmer from TUM and Dr. Martin Rasmussen assumed the role of the academic leads. The six projects that were selected are listed below. Each projetc consists of a Principal Investigator (PI) from TUM and one from Imperial as well as a doctoral candidate on each side. The teams started in October/November 2021. Since the start of the projects, one (MLAO) had to be closed as the involved resarchers on TUM side transferred to the University of Oxford. 

• COALESCENCE - Coded Computation for Large Scale Machine Learning with Privacy Guarantees
   
• LEADS - Learning and Analyzing Discrete Geometric Structure in Statistical Models
   
• MLAO (closed) - Machine Learning Tools for Adversarial Optimisation
   
• MoPreAnESD - Modelling, Prediction and Anomaly detection of Earth Surface Dynamics
   
• DInAMO - Data-driven Intermodal Autonomous Mobility: Operations and strategic control
   
• N-DAMN - Next Generation Digital Acquisition using Modulo Nonlinearities: Algorithmic, Statistical and Information Theoretic Aspects