Most projects are carried out jointly with companies and other research entities at SDU, and are externally funded, supporting industrial collaboration and societal relevance. We support our employees in building their academic careers, and we happily assist those who wish to transition from academia to industry or vice versa.
AI4SE1DK
Information will be coming soon...
Contact: Mikkel Baun Kjærgaard
Data lager indenfor drone- og robotindustrien
Information will be coming soon...
Contact: Jan Corfixen
DDSA: Danish Data Science Academy
Danish national academy that supports data science talent development broadly, including machine learning, artificial intelligence and the internet of things.
Contact: Mikkel Baun Kjærgaard
DigitalLead
DigitalLead is Denmark’s innovation cluster for digital technology. The aim of the project is to foster innovation activities among the knowledge partners together with private and public organisations.
Contact: Mikkel Baun Kjærgaard
DIREC
DIREC is an international flagship centre for digital research with a mission to: conduct world-class research in new digital technologies, expand research and education capacity in Denmark and create value for Danish society and businesses.
Contact: Mikkel Baun Kjærgaard
Edge-based AI Systems for Predictive Maintenance (DIREC)
Downtime of equipment is costly and a source of safety, security and legal issues. Today, organisations adopt a conservative schedule of preventive maintenance independent of the condition of equipment.
Contact: Mikkel Baun Kjærgaard
Fast and Efficient Robotic Automation via Re-Use of Data (FERA)
SDU is leading the FERA project, which has received over 14 million kroner from the Innovation Fund Denmark. Collaborating with partners such as Odense Robotics, Novo Nordisk, and Universal Robots aims to improve industrial automation solutions by using data from existing robotic solutions to create new ones, reducing costs and implementation time for new automation solutions.
Contact: Mikkel Baun Kjærgaard
MADE REACT
Global manufacturing currently faces challenges from geopolitical tensions to material shortages and a decreasing workforce. These challenges generate opportunities. Danish manufacturing companies are reconsidering strategies, favouring digitally driven, resilient operations while seeking to also strengthen their capabilities to handle High-Mix Low-Volume (HMLV) manufacturing. In MADE REACT, 23 companies and experts from five Danish universities and three RTOs will collaborate to explore AI, digital twins, advanced robotics, and real-time data-driven decision-making. REACT will focus on manufacturing challenges inside the manufacturing ecosystem divided into Factory-, Cell and Process level. A coordinated set of research activities will be initiated within these levels in combination with digital research going across all levels. Demonstration environments around the three levels will be established. These will enable integration of research results in realistic scenarios, and will increase visibility, facilitate dissemination and hence enhance impact. By this, MADE REACT will enable Danish manufacturing to be the most efficient in the world for the Resilient High-Mix Low-Volume (RHMLV) manufacturing of the future.
Contact: Jan Corfixen and Torben Worm
Mobility Analytics using Sparse Mobility Data and Open Spatial Data (DIREC)
The mobility of people and things is an important societal process that facilitates and affects the lives of most people. Thus, society, including industry, has a substantial interest in well-functioning outdoor and indoor mobility infrastructures that are efficient, predictable, environmentally friendly, and safe.
Contact: Mahyar Tourchi Moghaddam
Nudge2Green
Information will be coming soon...
Project website: Nudge2Green
Contact: Mahyar Moghaddam
ONE4ALL
The ONE4ALL project, funded by Horizon Europe with ~€6 million, drives Industry 5.0 adoption in SMEs by developing Digital Twin-enabled, human- and sustainability-centered reconfigurable cyber-physical production modules (RCPMs). These self-reconfigurable, mobile robots with embedded IIoT and real-time monitoring will leverage Digital Twins for adaptive decision-making. The approach will be validated in the agri-food and pharmaceutical sectors, both highly impacted by demand volatility and disruption.
Project website: ONE4ALL
Contact: Sanja Lazarova-Molnar
Renewable Energy Adoption through Citizen and Business Nudging (React)
Information will be coming soon...
Contact: Mina Alipour
ScalableCode (DIREC)
ScalableCode is funded by DIREC through the Innovation Fund Denmark and its aim is to investigate the use of low-code development for adaptive and re-configurable robot programming of logistic tasks. The project builds on our previous work on domain-specific languages (DSLs) to propose a solution for high-level programming of the 3D spatial context in natural language, providing adaptable programming of robotic skills.
Project website: https://direc.dk/low-code-programming-of-spatial-contexts/
Contact: Thiago Silva
Scalable exams at SDU for digital skills, Mærsk Mc-kinney Møller Instituttet
Evaluating students' practical digital skills is a growing challenge, especially with the rise of generative AI making traditional assessments less effective. This project addresses the challenge by aiming to develop and pilot a virtual exam lab on SDU's UCloud platform, enabling secure and scalable hands-on assessments. The project will involve teachers and students in creating and testing a prototype in selected courses to ensure it aligns with educational needs.
This project is funded by IT-Vest, a collaborative network between the University of Southern Denmark, Aalborg University, and Aarhus University that supports the development of IT education and research.
Contact: Aisha Umair