Categories
Bridge project

Deep Learning and Automation of Imaging-Based Quality of Seeds and Grains

Project type: Bridge Project

Deep Learning and Automation of Imaging-Based Quality of Seeds and Grains

Partners

Key project partipants:

  • Lars Kai Hansen
    Technical University of Denmark
  • Kim Steenstrup Pedersen
    University of Copenhagen
  • FOSS Analytical A/S

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

Budget
Total budget: DKK 3,91 million
DIREC investment: DKK 1,90 million

Lars Kai Hansen
Professor


Dept. of Applied Mathematics and Computer Science
Technical University of Denmark
Richard Petersens Plads, Bldg. 322
2800 Kgs. Lyngby

E: lkai@dtu.dk
T: +45 45 25 38 89
Categories
Bridge project

Mobility Analytics using Sparse Mobility Data and Open Spatial Data

Project type: Bridge Project

Mobility Analytics using Sparse Mobility Data and Open Spatial Data

Partners

Key project partipants:

  • Ira Assent, Aarhus University
  • Kristian Torp & Bin Yang, Aalborg University
  • Mikkel Baun Kjærgaard & Norbert Krüger, University of Southern Denmark
  • Martin Møller,
    The Alexandra Institute
  • Ramboll
  • Mobile Industrial Robots

Project period
May 1, 2021 – April 30, 2024
– 3 years

Budget

Total budget DKK 9.41 million
DIREC investment DKK 5.19 million

Christian S. Jensen
Professor


Department of Computer Science
Aalborg University

E: csj@cs.aau.dk
T: +45 20 14 52 50
Categories
Bridge project

Verifiable and Safe AI for Autonomous Systems

Project type: Bridge Project

Verifiable and Safe AI for Autonomous Systems

Partners

Key project partipants:

  • Kim Guldstrand Larsen & Thomas Dyhre Nielsen, Aalborg University
  • Andrzej Wasowski, IT University of Copenhagen
  • Grundfos
  • Seluxit
  • Aarhus Vand
  • HOFOR

Project period
March 1, 2021 – March 1, 2024
– 3 years

Budget
Total budget DKK 9,12 million
DIREC investment DKK 3,73 million

Kim Guldstrand Larsen
Professor


Department of Computer Science
Aalborg University

E: kgl@cs.aau.dk
T: +45 99 40 88 93
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
  • CIO Martin Møller,
    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