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Collaborations - IMADA Innovation

Every day, our researchers work on breaking new frontiers in Algorithms, Artificial Intelligence, Cloud and Edge Computing, Cybersecurity, Programming Languages, Optimisation, Simulation and Statistics.

IMADA Innovation fosters and manages collaborations between scientists at the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU), companies, and other organisations. These collaborations can take various forms, including joint projects, consultancies, and educational offers for companies who wish to upgrade their competences.

Collaborations are both at national and international levels. IMADA Innovation provides the necessary technical, scientific, and educational know-how to carry out these activities. We work closely with the Research and Innovation Office at SDU, which provides legal and administrative support.

We collaborate with the best researchers and industry around the world. Our solutions apply to a vast number of different fields and real-life challenges.

Research related business collaborations

If you wish to collaborate with us or have any questions regarding business collaborations with our scientist please contact professor Fabrizio Montesi at  or Christian Walter Bruun at


Educational collaborations

The students at IMADA cooperate with business in several ways:


  • Short business projects
  • Internships
  • Collaboration on theses
  • Industrial PhD projects

If you wish to learn more about how your company can benefit from collaborating with a student please contact our Outreach Coordinator Peter Madsen at phone: +45 65509698 or mail:


Competence & Competitive Advantage


The main technical areas of competence and expertise covered by IMADA Innovation include Computer Science, Mathematics, Artificial Intelligence, Optimisation, Big Data, Digitalisation, and Industry 4.0.

IMADA Innovation combines world-level expertise in:


  • Algorithms and Efficient Computation.
  • High Performance Computing.
  • Artificial Intelligence, including Automated Reasoning, Machine Learning, Expert Systems, and Statistics.
  • Big Data and Data Science, including Bioinformatics, Cheminformatics, and Parallel Computing.
  • Digitalisation and System Integration.
  • Modern paradigms for software and IT infrastructures in Industry 4.0: Cloud Computing, Edge computing, DevOps, Internet of Things, Microservices, Dark Data.
  • Software development tools.

Examples of problems that we can help with:


  • Business development: When is the most optimal time for a start-up or SME to obtain equity capital? What optimises the timing of paying dividends to our shareholders?
  • Health: What is the progression of Alzheimer's disease in the body? How can we schedule our patient and operation flow at our new hospital to maximize treatment and satisfaction?
  • Transport: What is the best way to plan a freight delivery schedule to save fuel and optimise delivery time? What is the best path for a drone to fly in order to maximise airtime and improve data collection?
  • Software and IT: The cloud solution seems very slow and costly. Can we do anything to increase the speed and decrease the cost?
    How can we design cloud-native and secure software? The software for monitoring our white-washing initiative in the financial sector is not good at detecting anomalies – what can be done?
  • Environment and sustainability: To maximise CO2 absorption in the coming 10 years in our new forest, what composition of fauna type should we use? How can we forecast road-water run in order to plan remediation activities at the local treatment facility?
  • Energy: We wish to increase our usage of ‘green energy’ for our production facility to minimise cost and CO2 footprint. How do we do that? Can we optimise the management of input material for our production facility to decrease energy consumption.

Department of Mathematics and Computer Science

  • Campusvej 55
  • Odense M - DK-5230
  • Phone: +45 6550 2387

Last Updated 09.08.2023