The DPAC profile establishes a leading research profile targeting dependable platforms for autonomous systems and control, hosted at Mälardalen University in the Embedded Systems (ES) research environment. This will be accomplished through close collaboration and interaction between ES research groups at MDH and the participating industrial companies. The profile will leverage our solid track record of close cooperation to conduct excellent research, knowledge transfer, and support commercialization with industrial partners. DPAC shall create synergy effects between the partners and a significant increase in coproduction is to be expected.
The ultimate goal of the DPAC profile is to establish a nationally leading and internationally renowned research centre that facilitate close cooperation between academia and industry to achieve a significant increase in research and available knowhow on advanced dependable platforms for embedded systems. Embedded computer systems are nowadays incorporated in many kinds of products including many mission critical applications such as trains, autonomous utility vehicles, aviation, smart grid power management etc. These systems offer advanced functionality and serve an important role for the competitiveness of companies and the future national and global infrastructure. The scientific and technical results of DPAC will support future innovation by providing dependable platforms that can be used to efficiently realize dependable, reliable and safe electronically controlled products.
Four established research groups from MDH will in addition to the staff from companies provide the core competence thrust within DPAC. The research will be organized around three main research areas:
These combined competences give DPAC a unique opportunity to address system-wide research challenges that span several traditional research areas and wide industrial applications as well as forming a robust basis for the research in DPAC.
DPAC brings a wide industrial participation ranging from small-medium enterprises to large multinational corporations. The initial industrial partners are; ABB CRC, ABB Control Technologies, Alten, Arcticus Systems, Bombardier Transportation, BAP, Enea, Ericsson, Hök Instruments, Saab, Volvo Construction Equipment, and Volvo Group Trucks Technology. These companies represent the core of this proposal’s research target and will bring their unique competence and relevant use-cases to facilitate and strengthen the research within DPAC.
DPAC allows a unique opportunity for ES to focus established researchers and new recruits towards the area of dependable systems and platforms. This area is identified as key-area for future growth in both education and research, and where industrial support is already large and anticipated to grow further during the coming decade.
|Chairman of the MDU recruitment committee,Professor
|Industrial Doctoral Student
|Postdoctoral research fellow
|Industrial Doctoral Student
Mitigation Ontology for Analysis of Safety-Critical Systems (Jun 2024) Nazakat Ali, Kristina Lundqvist, Kaj Hänninen The 34th European Safety and Reliability Conference (ESREL'34)
Tiny Twins for detecting cyber-attacks at runtime using concise Rebeca time transition (Feb 2024) Fereidoun Moradi, Bahman Pourvatan , Sara Abbaspour, Marjan Sirjani Journal of Parallel and Distributed Computing (JPDC 185)
Dynamic Priority Scheduling for periodic systems using ROS 2 (Oct 2023) Lukas Dust, Saad Mubeen 8th International Conference on Engineering of Computer-based Systems (ECBS2023)
Comparing Ext4 and ZFS for Onboard Data Processing (Oct 2023) Liza Johansson, Hassan Said, Håkan Forsberg, Nandinbaatar Tsog, Oskar Flordal The first European Data Handling & Data Processing Conference (EDHPC 2023)
Pattern-Based Verification of ROS 2 Nodes using UPPAAL (Sep 2023) Lukas Dust, Rong Gu, Cristina Seceleanu, Mikael Ekström, Saad Mubeen FMICS 2023 - International Conference on Formal Methods for Industrial Critical Systems (FMICS 2023)
Comparative Evaluation of Various Generations of Controller Area Network Based on Timing Analysis (Sep 2023) Aldin Berisa, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Adis Panjevic , Imran Kovac , Hans Lyngbäck , Saad Mubeen 28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)
|ABB AB, Control Technologies
|ABB Corporate Research
|Alten Sverige AB
|Arcticus Systems AB
|Saab AB, Avionics Systems
|Volvo Construction Equipment AB
|Volvo Group Trucks Technology