The industry graduate school Data Intensive Applications (DIA) applies academic research to industry challenges. The objective is to develop new knowledge, smarter solutions and innovations in data intensive applications, leveraging on big data, artificial intelligence (AI), and cyber-physical system (CPS) technologies.
To meet these challenges, DIA combines theoretical knowledge from computer science, mechanical engineering and forest technology with practical experience and competences. The industrial doctoral students are employed by our partner companies.
DIA contributes with structured research education and supplies companies with the fundamental competences in big data, AI and CSP, for developing smarter data intensive industry strength systems. DIA also contributes with applied research in co-production with the participating companies and across academic research fields.
The actual research is conducted in individual research projects at the participating companies. These are co-supervised by experts at Linnaeus University and at the partner companies.
There are three overarching research questions addressed in DIA. The individual doctoral projects, and the graduate school as a whole, will conduct research to answers these questions.
- How can we utilize abstract digitalization concepts for smarter industrial CPS? How can we build, maintain, and organize open CPS ecosystems?
- How can we verify guarantees of smarter industrial CPS built on data driven models regarding accuracy, performance, response time, safety, etc? How can we assure that they persist over time?
- How can we make data driven models that control smarter industrial CPS self-explainable? How can we convey the knowledge from models to human stakeholders?
The individual doctoral student projects address three overarching objectives, focusing on the practical relevance for the partner companies.
- To adopt data intensive technologies, such as digital twins and proactive maintenance, for solving concrete problems in the development, maintenance and operation of industrial CPS, and for improving these processes.
- To put together individual solutions and improvements to a common digitalization strategy towards smarter industrial CPS. To define and get started with concrete first pilot projects, set expected benefits, and define a structured systematic roadmap towards digitalization.
- To create new services, platforms and ecosystems supporting smarter industrial CPS.
Industry partners and projects
- Combitech: Change business logic to value-driven models.
- Scania: Digital product and production process verification.
- Sigma Technology: Integrate static technical documentation with online machine data for predictive maintenance.
- Sydved: Make decisions easy for forest owners.
- Södra: Create smarter, cheaper, faster, higher-quality quality processes.
- Volvo CE: Predict and verify the products’ performance (2 doctoral students).
- Yaskawa: Utilize the data collected from equipment and bring value to the customer.
Courses of interest for doctoral students at DIA/DISA
Courses, autumn semester 2020
The courses followed by a * will be offered next year as well.
Philosophy of science for doctoral students (4 credits)
Duration: From now until 1 May 2021
Syllabus: Course syllabus Philosophy of science 2020.pdf
Coordinator: Päivi Jokela
Registration: e-mail to firstname.lastname@example.org with your name and subject area
Data mining (5 credits) *
Systems modeling and simulation (5 credits) *
Formal methods (5 credits) *
Information visualization (5 credits) *
Advanced information visualization and applications (5 credits) *
Project in visualization and data analysis (10 credits) *
Code transformation and interpretation (5 credits) *
Using Python for research (5 credits)
Duration: The course will be given in fall 2020; the exact time will be decided by the interested students
Coordinator: Morgan Ericsson
Duration: Preliminary Nov–Dec 2020
Syllabus: More information will be sent out later and posted at http://blogg.lnu.se/disa
Coordinator: Giangiacomo Bravo, Jukka Tyrkkö
Application: A link for registration will be provided later
Innovative applications of research and science (4.5 credits)
Duration: Sept–Nov 2020
Coordinator: Martina Lago
Application: Please send your application to email@example.com by 11 May at the latest
Structural dynamics (7.5 credits)
Responsible for the strategic governance of DIA:
- Niklas Malmros, CEO at Sigma Technology Solutions, chairman
- Margrethe Hallberg, Digitalization Coordinator for Product Introductions at Scania, member
- Joel Cramsky, doctoral student at Volvo CE, member
- Jesper Andersson, Head of Department, Department of Computer Science and Media Technology, member
- Gunnar Bolmsjö, Lnu, Head of Department, Department of Mechanical Engineering, member
Responsible for the operational leadership of DIA and for program and research coordination:
- Welf Löwe, Professor in Computer Science, project manager
- Diana Unander, Research and Project Coordinator, project coordinator
- Morgan Ericsson, Associate Professor in Computer Science, program coordinator
- TBD, research coordinator