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Supported projects since January 2021
Dr. Jan M. Ache
University of Würzburg
Biozentrum Universität Würzburg
Prof. Dr. Mark Frye
University of California, Los Angeles (UCLA)
Department of Integrative Biology and Physiology
Hardware-Assisted Secure Distributed Transaction Processing
Prof. Dr. Pramod Bhatotia
Technische Universität München
Chair for Decentralized Systems Engineering at the Informatics Department
Prof. Dr. Natacha Crooks
University of California, Berkeley
Department of Electrical Engineering and Computer Sciences
Dr. Felix Deschler
Technische Universität München
Walter Schottky Institute Center for Nanotechnology and Nanomaterials
Dr. Carolin M Sutter-Fella
Lawrence Berkeley National Laboratory
Chemical Sciences Division
PRIMAL: Privacy-Preserving Federated Machine Learning
Prof. Dr. Alexandra Dmitrienko
University of Würzburg
Institute of Computer Science II
Prof. Dr. Farinaz Koushanfar
University of California, San Diego
Jacobs School of Engineering
Ultrafast “fluid-to-solid” transitions in concentrated suspensions
Prof. Dr. Torben Gädt
Technische Universität München
Lehrstuhl für Bauchemie - Fakultät Chemie
Prof. Dr. Gaurav N. Sant
University of California, Los Angeles (UCLA)
Samueli School of Engineering
Complementary structural measurements for organic thin films
Prof. Dr. Eva Herzig
University of Bayreuth
Dr. Chenhui Zhu
University of California, Berkeley
Lawrence Berkeley National Laboratory, Advanced Light Source
Next Generation Tools for Rational Metabolic Engineering
Prof. Andreas Kremling
Technische Universität München
Department of Mechanical Engineering
Prof. Michael A. Savageau
University of California, Davis
Department of Microbiology & Molecular Genetics
In2O3/Pd(111) Catalysed CO2 Hydrogenation: Observation of In situ Surface Reconstruction
Prof. Dr. Barbara A. J. Lechner
Technische Universität München
Depatment Chemie
Dr. Monika Blum
Lawrence Berkeley National Laboratory
Advanced Light Source
AI in DH: Designing and Developing Machine Learning Tools for the (Digital) Humanities
Prof. Dr. Andreas Maier
Friedrich-Alexander-University of Erlangen-Nuremberg
Computer Science Department 5 - Pattern Recognition Lab
Prof. Dr. Peter Bell
Friedrich-Alexander-University of Erlangen-Nuremberg
Philosophische Fakultät - Kunstgeschichte
Prof. Dr. Fabian Offert
University of California, Santa Barbara
Humanities and Fine Arts
Deep learning reconstruction with known operators for high-resolution CT
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
Prof. Dr. Bernhard Mayer
Ludwig-Maximilians-University of Munich
Lehrstuhl für Experimentelle Meteorologie
Prof. Dr. Katherine L. Bouman
California Institute of Technology, Pasadena (CALTECH)
Department of Computing and Mathematical Sciences
Enhancing Safe Predictive Control with Learning-based Methods for Automated Vehicles
PD Dr.-Ing. habil. Dirk Wollherr
Technische Universität München
Chair of Automatic Control Engineering
Prof. Dr. Francesco Borrelli
University of California, Berkeley
Department of Mechanical Engineering
Prof. Dr. Enrique Zuazua
Friedrich-Alexander-University of Erlangen-Nuremberg
Department of Mathematics, Chair for Dynamics, Control
Prof. Dr. Miroslav Krstic
University of California, San Diego
Department of Mechanical and Aerospace Engineering