Categories
SciTech project

Machine Learning Algorithms Generalisation

Project type: SciTech Project

Machine Learning Algorithms Generalisation

Partners

Key project partipants:

  • Associate Professor Kasper Green Larsen,
    Aarhus University
  • Postdoc Allan Grønlund,
    Aarhus University
  • Professor Mikkel Thorup,
    University of Copenhagen

Project period
October 1, 2020 – September 31, 2024
– 3.5 years

Budget
Total budget DKK 2.41
DIREC investment DKK 1.55

Kasper Green Larsen
Associate Professor


Dept. of Computer Science
Aarhus University
Åbogade 34
8200 Aarhus N

E: larsen@cs.au.dk
Categories
SciTech project

Privacy and Machine Learning

Project type: SciTech Project

Privacy and Machine Learning

Partners

Key project partipants:

  • Professor Jesper Buus Nielsen,
    Aarhus University
  • Professor Ivan Bjerre Damgaard,
    Aarhus University
  • Professor Christian Igel,
    University of Copenhagen
  • Associate Professor Kurt Nielsen,
    University of Copenhagen

Project period
October 1, 2020 – September 31, 2024
– 3.5 years

Budget
Total budget: DKK 4.70 million
DIREC investment: 3,22 million

Jesper Buus Nielsen
Professor


Dept. of Computer Science
Aarhus University

E: jbn@cs.au.dk
T: +45 20 58 62 10
Categories
Bridge project

Edge-based AI Systems for Predictive Maintenance

Project type: Bridge Project

Edge-based AI Systems for Predictive Maintenance

Partners

Key project partipants:

  • Professor Mikkel Kjærgaard,
    University of Southern Denmark
  • Professor Philippe Bonnet,
    IT University of Copenhagen
  • Associate Professor Xenofon Fafoutis,
    Technical University of Denmark
  • Professor Jan Madsen,
    Technical University of Denmark
  • Professor Anders Kofod-Petersen,
    The Alexandra Institute

Project period:
October 1, 2020 – September 31, 2024
– 3.5 years

Budget:

Total budget DKK 12.24 million
DIREC investment DKK 6.3 million

 

Mikkel Baun Kjærgaard
Professor


The Maersk Mc-Kinney Moller Institute
University of Southern Denmark

E: mbkj@mmmi.sdu.dk
T: +45 21 97 24 47