ARRAY - Automation Region Research Academy



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==> A total of 14 ARRAY PhD students are enrolled. Welcome! <==

  • 2018-12-20 -- 1 PhD student from Bombardier Transportation joins the ARRAY team
  • 2018-12-07 -- 2 PhD students from MITC joins the ARRAY team
  • 2018-12-05 -- 2 PhD students from Skanska joins the ARRAY team
  • 2018-10-11 -- 1 PhD student from RISE joins the ARRAY team
  • 2018-10-01 -- 1 PhD student from Kanthal joins the ARRAY team
  • 2018-09-14 -- 1 PhD student from Alten joins the ARRAY team
  • 2018-09-06 -- 3 PhD students from ABB CT joins the ARRAY team
  • 2018-06-21 -- 1 PhD student from Volvo CE joins the ARRAY team
  • 2018-06-04 -- 1 PhD student from First Control joins the ARRAY team
  • 2018-04-04 -- 1 PhD student from ABB Robotics joins the ARRAY team

Automation Region Research Academy (ARRAY) is an industrial postgraduate school that builds on Mälardalen University’s (MDH’s) experiences from three generations of KKS funded postgraduate schools (SAVE-IT, ITS-EASY, and ITS-ESS-H), while at the same time including several novel elements. In addition to novel research addressing important challenges related to automation, the key novelty from an MDH perspective is that ARRAY brings together top researchers from all three MDH Engineering research specializations (ES, FEC, and IPR). From the non-academic perspective, ARRAY brings together a broad spectrum of industrial players focusing on Automation, including several Swedish engineering companies, related public initiatives such as Automation Region and Robotdalen, the Research Institute RISE SICS Västerås, MITC and the Engineering research at MDH. By this, ARRAY provides a solid platform for multi-partner synergy and value creation of substantial benefit for the partners as well as for Sweden.

With basis in co-creation between MDH and the industrial partners* ABB AB, Alten AB, Bombardier Transportation AB, First Control Systems AB, Kanthal AB, Skanska AB, Volvo CE, ARRAY will educate 14 PhD students in areas of strategic importance. ARRAY will provide a comprehensive set of post-graduate courses, and promote cross-fertilization among students and the partners by networking activities. Supervision teams will be composed of both academic and industrial supervisors and mentors, which together with coordination of the five research tracks, are means to ensure co-creation and synergies. The five research tracks, Embedded systems design, Control and optimization, Safety and security, Test and verification, and Applications of automation, are carefully chosen to match industrial strategic priorities and challenges of the ARRAY industrial partners, as well as the existing excellence on the academic side.

Expected impact of ARRAY include, in addition to the expertise in strategic areas provided by the 14 doctoral candidates being educated: (i) increased competence and expertise in scientific areas of strategic relevance to the Swedish engineering industry, (ii) the establishment of Automation as a joint theme of excellence of the entire engineering research at MDH, and (iii) strengthening of the regional and national eco-system of Automation research, innovation, and development. In conclusion, ARRAY will be key in the long-term competitiveness of Swedish industry and academia.

* more partners are welclome to join the initiative.

Ongoing Courses
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Upcoming Courses
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Past Courses
Course NameStartEndhp
Introduction to graduate education for new Ph.D. students
Instructors: Thomas Nolte
2009-01-15 2009-04-23 4.5
Introduction to graduate education for new Ph.D. students
Instructors: Thomas Nolte
2009-10-07 2010-02-03 4.5
Introduction to graduate education for new Ph.D. students
Instructors: Thomas Nolte
2011-02-10 2011-06-02 4.5
Introduction to graduate education for new Ph.D. students
Instructors: Thomas Nolte
2012-03-29 2012-06-07 4.5
Introduction to graduate education for new Ph.D. students
Instructors: Thomas Nolte, Aida Causevic
2019-03-07 2019-05-23 4.5
Introduction to graduate education for new Ph.D. students
Instructors: Thomas Nolte
2019-09-05 2019-12-19 4.5

In this course you will meet a group of recently enrolled PhD students from all corners of MDH and you will be introduced to your journey in being a PhD student at MDH. The course covers (1) Being at MDH: How MDH is organized and what resources that we have available to support you in your graduate studies. (2) Life as a PhD student: How to present yourself and your project to others. How to conduct your research, rules and regulations, an introduction to research methods, how to present research results, how to publish research and how to write and present your PhD thesis. (3) Becoming a PhD: What to come after graduate studies, e.g., how research is funded and how to commercialize research results. How to build your “brand”, e.g., how to structure and maintain your CV, and how network and internationalize yourself. Email the instructor to sign up.

IoT and Fog computing
Instructors: Mohammad Ashjaei, Hossein Fotouhi
2019-02-21 2019-05-16 7.5
Modern Stochastic Processes: Overview and Applications 2019-09-13 2019-11-22 3

This doctoral course present a survey of basic models of stochastic processes including Stationary processes, Processes with independent increments, Markov Chains, Renewal models, Gaussian processes, Diffusion processes, Stochastic integrals, Stochastic differential equations as well as basic applications of the above models.

Course will include seven (two hours each) lectures delivered in September - December 2019.

PhD course given by Professor em Dmitrii Silvestrov
Mälardalen University/Stockholm University.

Research Methods in Computer Science
Instructors: Wasif Afzal
2019-09-02 2019-11-08 7.5

The course aims to introduce as well as provide a deeper understanding of various research methods in computer science and software engineering. The course will enable students to follow a process-driven approach to conduct a research project, covering planning, design, execution, analysis and reporting of results. 

Contact course instructor to enroll.

Research Planning
Instructors: Thomas Nolte
2019-09-16 2019-12-20 4.5

In this project you will develop and plan your research project. You will identify key research challenges, where is your scientific community and in which conferences and journals are key results communicated.

[Show all publications]

Product Line Adoption in Industry: An Experience Report from the Railway Domain (Oct 2020)
Muhammad Abbas, Robbert Jongeling, Claes Lindskog , Eduard Paul Enoiu, Mehrdad Saadatmand, Daniel Sundmark
24th ACM International Systems and Software Product Line Conference (SPLC 2020)

Access Control for Smart Manufacturing Systems (Sep 2020)
Björn Leander, Aida Causevic, Hans Hansson, Tomas Lindström
2nd Workshop on Systems, Architectures, and Solutions for Industry 4.0 (SASI4)

Variability Aware Requirements Reuse Analysis (May 2020)
Muhammad Abbas
The 42nd International Conference on Software Engineering Companion (ICSE'20)

Keywords-based test categorization for Extra-Functional Properties (Mar 2020)
Muhammad Abbas, Abdul Rauf , Mehrdad Saadatmand, Eduard Paul Enoiu, Daniel Sundmark
4th International Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS'20)

MBRP: Model-based Requirements Prioritization Using PageRank Algorithm (Dec 2019)
Muhammad Abbas, Irum Inayat , Naila Jan , Mehrdad Saadatmand, Eduard Paul Enoiu, Daniel Sundmark
The 26th Asia-Pacific Software Engineering Conference (APSEC 2019)

Concurrency defect localization in embedded systems using static code analysis: an evaluation (Oct 2019)
Bjarne Johansson, Alessandro Papadopoulos, Thomas Nolte
The 30th International Symposium on Software Reliability Engineering (ISSRE 2019)

RISE Research Institutes of Sweden Academic
ABB AB Industrial
Alten Sverige AB Industrial
Bombardier Transportation Industrial
First Control Systems AB Industrial
Kanthal AB Industrial
MITC AB Industrial
Skanska AB Industrial
Volvo Construction Equipment AB Industrial
Automation Region Municipalities and others
Robotdalen Municipalities and others

Thomas Nolte, Professor

Room: U3-068
Phone: +46-21-103178