Independent Research Fund Denmark (DFF) has awarded 6 research projects in Digital Technologies to researchers at DTU Compute. For a total amount of just under DKK 17 million Denmark will gain new knowledge for the benefit of the entire society, e.g. on how we can gain greater understanding in big data volumes, in bias and fairness in medicine, in analyzing large changeable networks, providing deep neural networks with background knowledge to distinguish e.g. in diagnostics, missing data imputation using deep generative models, and optimization of Raman spectroscopy for use in e.g. food and medicine.
"We are very pleased to be able to contribute to DFF's digital initiative and would recommend similar initiatives in the future. I am especially pleased with the diversity and breadth of the projects at DTU Compute. It supports DTU Compute's strategic focus on the synergy between mathematics, data science and computer science and the interaction with the people for whom the digital technology is for," says DTU Compute's Head of Department, Professor Per B. Brockhoff, on the granted DTU Compute research projects.
The 6 awarded projects in Digital technologies
DFF-Research project 1/ Thematic research
Adaptive Compressed Computation
Receiver Associate professor Inge Li Gørtz
Granted amount
2.875.994 DKK
Bias and fairness in medicine
Receiver Professor Aasa Feragen-Hauberg
Granted amount
2.699.194 DKK
Dynamic Network Analysis
Receiver Assistant professor Eva Rotenberg
Granted amount
2.770.430 DKK
Few-shot generative models
Receiver Professor Ole Winther
Granted amount
2.616.792 DKK
Missing data imputation using deep generative models
Receiver Associate professor Jes Frellsen
Granted amount
2.876.001 DKK
Towards real time Raman molecular imaging of living organisms
Receiver Associate professor Mikkel Nørgaard Schmidt
Granted amount
2.771.058 DKK
