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Research Directions
MDU has for more than two decades been a national leader in software and computer-based systems that are embedded in products and industrial systems, with a focus on ensuring timeliness and dependability, i.e., providing technology and methods by which costly and dangerous failures are avoided, thereby enabling the deployment of new increasingly more advanced digital solutions that can be trusted by users and society.
Our Research Directions
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Software and Systems Engineering (SSE) researches theory, methods, processes, algorithms, and tools to support the design, development, testing, and maintenance of industrial software and software-intensive systems, including research on model-based development to simplify development and operation, dependability (e.g., safety and security) to assure that systems can be sufficiently trusted, and software testing, addressing quality attributes needed for dependability and performance.
(SSE) Leader
Prof.Jan Carlson
Computer and Data Science (CDS) conducts research on algorithms, techniques, and tools in artificial intelligence and machine learning, optimization, handling of heterogeneous data from sensing devices, software and hardware for robots, brain-like computing, as well as formal methods and static program analysis.
(CDS) Leader
Prof. Cristina Seceleanu
Electrical and Computer Engineering (ECE) conducts research focused on run-time platforms of embedded systems, including execution of software, communication of data, and control and runtime adaptation mechanisms, addressing systems that require high reliability, high degree of safety, security, predictable timing, and performance, often with limited energy and resources for computation and communication.
(ECE) Leader
Prof. Thomas Nolte
Medical and Health Engineering (MHE) conducts research in medical engineering, neuro-engineering, sensor technology, sensor systems, electrical engineering, computer engineering, computer science, signal processing, artificial intelligence, human-system interaction, user-centred design, as well as physiology, psychology, and health, including collaboration with other engineering disciplines such as data communication and robotics, and with stakeholders representing the medical- and health sector, municipalities, and the private sector.
(MHE) Leader
Prof. Maria Lindén
Product Realisation (PR) conducts research on cross-disciplinary production development through data-driven approaches for manufacturing and process industries. The research addresses the development and implementation of dependable data-driven industrial systems that, using human-centred technologies, can be included in resilient value chains of sustainable and competitive production systems.
(PR) Leader
Prof. Moris Behnam