Supported projects since January 2024

Genome evolution and bridging the genotype-phenotype divide with machine learning

Prof. Dr. Claude Becker
Ludwig-Maximilians-University of Munich
Genetik

Prof. Dr. Daniel Koenig
University of California, Riverside
Department of Botany and Plant Sciences


Investigating the Applications of Spatial Computing for Healthcare and Accessibility

Prof. Dr. Pramod Bhatotia
Technische Universität München
Chair of Distributed Systems and Operating Systems at the TUM School of Computin

Prof. Dr. Joshua Makower
Stanford University
Stanford Schools of Medicine and Bioengineering


Tetrahedral BP3 – a Boron-Centred Molecular Lewis Superacid

Prof. Dr. Holger Braunschweig
University of Würzburg
Institut für Anorganische Chemie

Prof. Dr. Joshua S. Figueroa
University of California, San Diego
Department of Chemistry and Biochemistry


Video-based Artificial Intelligence Methods for Re-Identification and Behaviour Prediction for Animals

Prof. Dr. Björn Eskofier
Friedrich-Alexander-University of Erlangen-Nuremberg
Machine Learning and Data Analytics Lab

Dr. Mathias Tobler
San Diego Zoo Wildlife Alliance
Conservation Science and Wildlife Health


Machine Learning-Driven Analysis for Unraveling Genetic Origins of Rare Diseases

Prof. Dr. Julien Gagneur
Technische Universität München
School of Computation, Information and Technology

Prof. Dr. Stephen B. Montgomery
Stanford University
Department of Pathology


Application of alchemical free energy methods for the development of new G protein-biased µ opioid receptor agonists

Prof. Dr. Peter Gmeiner
Friedrich-Alexander-University of Erlangen-Nuremberg
Department Chemie und Pharmazie

Prof. Dr. Michael K. Gilson
University of California, San Diego
Skaggs School of Pharmacy and Pharmaceutical Sciences


Fog Computing-Based Execution of Large Language Models for Digital Health and Education

Prof. Dr. Stefan Krusche
Technische Universität München
Informatics 1 – Chair of Distributed Systems & Operating Systems

Prof. Dr. Oliver Oppers Aalami
Stanford University
Byers Center for Biodesign


Towards Automated Learning-based Image Quality Prediction of Cone-Beam CT - Reconstructions from few Scout Images for Metal Artifact Avoidance

Prof. Dr. Andreas Maier
Friedrich-Alexander-University of Erlangen-Nuremberg
Computer Science Department 5 - Pattern Recognition Lab

Prof. Dr. Adam Wang
Stanford University
Radiological Sciences Laboratory


AI-Enhanced and data driven estimator for carbon-neutral operated buildings

Prof. Dr. Tobias Maile
University of applied sciences Augsburg
Faculty of Architecture and Civil Engineering

Prof. Dr. Martin A. Fischer
Stanford University
Department of Civil and Environmental Engineering


Investigation of Complex Stimulation Patterns Using Different Spatial Configurations of Ultrasound Transducers for Neuromodulation

Dr. Alexander Paulus
Technische Universität München
Lehrstuhl für Hochfrequenztechnik

Prof. Dr. Kim Butts Pauly
Stanford University
Department: Rad/Radiological Sciences Laboratory


Sustainable high performance ceramic brake discs for heavy vehicles under harsh conditions

Prof. Dr. Stefan Schafföner
University of Bayreuth
Chair of Ceramic Materials Engineering

Prof. Dr. Steven Nutt
University of Southern California, Los Angeles
Department of Chemical Engineering and Materials Science