Six projects for "Mathematics of Information"

2nd Cohort of the Joint Academy of Doctoral Studies

1 August 2021
Binary numbers 0 and 1 arranged in a circle

In 2020, the Technical University of Munich (TUM) and Imperial College London (ICL) launched the "Joint Academy of Doctoral Studies" (JADS) as part of their flagship partnership to foster research collaborations at doctoral level and beyond.

Within the context of this bi-lateral cross-disciplinary program, a cohort of 6 joint projects is funded in a field of interdisciplinary cutting-edge research, in which both universities enjoy an outstanding reputation. 

Mathematics of Information: Theory and Application

For 2021, the boards of the two universities selected the second cohort, "Mathematics of Information: Theory and Application." Johannes Zimmer, TUM professor of analysis and modeling, and Dr. Martin Rasmussen of ICL are the scientific leaders of the research area. The cohort will begin research in October 2021.

"Mathematics of Information" will enrich the JADS program with application-driven projects in the areas of machine learning, statistics, and dynamics. A jury from both universities selected six projects for the cohort, which passed a multi-stage selection process including external reviews.

Two projects at the Department of Mathematics

One Principal Investigator (PI) each from TUM and ICL lead the projects within a cohort. Two of the PIs are from the TUM Department of Mathematics: Professor Blanka Horvath and Professor Felix Krahmer. The winning teams are:

  • "Machine Learning Tools for Adversarial Optimisation" by Professor Blanka Horvath from TUM and Professor Johannes Muhle-Karbe from ICL
  • "Next Generation Digital Acquisition using Modulo Nonlinearities: Algorithmic, Statistical and Information Theoretic Aspects" by Professor Felix Krahmer from TUM and Dr. Ayush Bhandari from ICL
  • "Data-driven Intermodal Autonomous Mobility: Operations and strategic control" by Professor Maximilian Schiffer from TUM and Dr. Dario Paccagnan from ICL
  • "Coded Computation for Large Scale Machine Learning with Privacy Guarantees" by Professor Antonia Wachter-Zeh from TUM and Professor Deniz Gunduz from ICL
  • "Modelling, Prediction and Anomaly detection of Earth Surface Dynamics" by PD Marco Körner and Professor Martin Werner from TUM and Professor Almut Veraart and Professor Dan Crisan
  • "Data-driven coarse-graining and applications" by Professor Phaedon-Stelios Koutsourelakis from TUM and Professor Grigorios A. Pavliotis from ICL

The selected research teams will receive funding for their projects, including doctoral fellowships. One doctoral researcher from TUM and one from ICL will join each project. Both sides will work closely together.

Mathematical Sciences Hub of TUM and ICL

As part of the flagship partnership, TUM and ICL also work closely together in the Mathematical Sciences Hub.