Search results

    Search results

    Show all results for ""
    Can not find any results or suggestions for "."

    Search tips

    • Make sure there are no spelling errors
    • Try different search terms or synonyms
    • Narrow your search for more hits

    How can we help?

    Contact Us

    Find Employees

    University of Skövde, link to startpage

    Search results

      Search results

      Show all results for ""
      Can not find any results or suggestions for "."

      Search tips

      • Make sure there are no spelling errors
      • Try different search terms or synonyms
      • Narrow your search for more hits

      How can we help?

      Contact Us

      Find Employees

      University of Skövde, link to startpage

      Gunnar Mathiason

      Senior Lecturer in Computer Science
      School of Informatics
      Room PA520F

      This is a proxy page.

      Up-to-date information can be found at www.his.se/matg

      Activities

      Member of the SAIL research group.
      Member of the DRTS research group.

      Dept. chair:

      • School of Communication and Information, Dept. of IT 2011-2013
      • School of Informatics, Division Alpha 2014-2017

      Attended CUGS national graduate school.

      Visiting scholarship at University of Virginia, Feb-June, 2007

      Teaching

      Study Program Responsible

      Computer Science Study Program (180 credits), past

      Lecturer

      Algorithms and Data Structures (DA114G)
      Big Data Programming (IT715A, MSc level)
      Distributed Real-Time Systems (DA712A)
      Distributed Systems (DA558G)
      Software Engineering  (DV316G)
      Software Engineering – game design / Game project A (DV120G)
      Software Engineering – game programming / Game project A (DV122G)
      Webb programming (DA330G)

      Supervisor and examiner

      MSc projects and MSc Theses
      BSc final year projects

      Research

      "Virtual Full Replication for Scalable Distributed Real-Time Databases"
      Thesis ]

      CV in brief

      Academic

      • 2010- Assistant Professor – University of Skövde
      • 2002-2009 PhD Student in Distributed Real-Time Systems – University of Skövde
      • 2001-2002 Master of Science in Computer Science, New Generations – University of Skövde
      • 1998-2001 Bachelor of Science in Software Engineering – University of Skövde

      Professional

      • 1995-1998 System development, Industrial control systems – Lidköping Machine Tools / SKF
      • 1992-1995 System development, Production data collection – SKF Engineering & Research Centre, The Netherlands
      • 1986-1992 System development, Industrial control systems – Lidköping Machine Tools / SKF

      Research

      2023

      H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason, Alexander Karlsson

      Journal of Ambient Intelligence and Humanized Computing

      2023. Article. https://doi.org/10.1007/s12652-019-01372-5 Open Access

      2022

      Niclas Ståhl, Gunnar Mathiason, Juhee Bae

      Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference

      2022. Conference paper. https://doi.org/10.1007/978-3-030-86261-9_7

      2021

      Juhee Bae, Gunnar Mathiason, Yurong Li, Niklas Kojola, Niclas Ståhl

      IEIM 2021: The 2nd International Conference on Industrial Engineering and Industrial Management

      2021. Conference paper. https://doi.org/10.1145/3447432.3447435

      Niclas Ståhl, Gunnar Mathiason, Dellainey Alcaçoas

      SN Computer Science

      2021. Article. https://doi.org/10.1007/s42979-021-00488-w Open Access

      2020

      Juhee Bae, Yurong Li, Niclas Ståhl, Gunnar Mathiason, Niklas Kojola

      Metallurgical and materials transactions. B, process metallurgy and materials processing science

      2020. Article. https://doi.org/10.1007/s11663-020-01853-5 Open Access

      H. Joe Steinhauer, Anders Åhlén, Tove Helldin, Alexander Karlsson, Gunnar Mathiason

      International Journal of Information, Communication Technology and Applications

      2020. Article.

      Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason

      Information Processing and Management of Uncertainty in Knowledge-Based Systems: 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part I

      2020. Conference paper. https://doi.org/10.1007/978-3-030-50146-4_41

      2019

      Juhee Bae, Jesper Havsol, Martin Karpefors, Alexander Karlsson, Gunnar Mathiason

      Proceedings - 6th International Symposium on Computational and Business Intelligence, ISCBI 2018

      2019. Conference paper. https://doi.org/10.1109/ISCBI.2018.00027

      Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström

      Journal of Chemical Information and Modeling

      2019. Article. https://doi.org/10.1021/acs.jcim.9b00325

      Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström

      Practical Applications of Computational Biology and Bioinformatics, 12th International Conference

      2019. Conference paper. https://doi.org/10.1007/978-3-319-98702-6_9

      Finished projects

      Can AI streamline the iron and steel industry?

      The iron and steel industry needs to be streamlined and the amount of scrap reduced to increase returns. What is required is a faster and more reliable production with stricter tolerances – then better products are created that reach the customer faster. This project, INSITE-X, will develop an AI-based prototype for detailed simulation of dynamic production-behaviour of critical machines, to increase process understanding and control.

      March 2021 - February 2024 Informatics

      Swedish Metal

      The project will create new values for the Swedish metal industry. This will be done through the use and development of recent data analysis techniques. By doing so, one will find currently hidden relationships between known and unknown process parameters and the resulting product quality.

      October 2018 - October 2021 Informatics

      BISON: Better decisions through Big Data

      Big data has gained much interesting in recent years due to the rapid expansion of the massive amount of data that is available for solving different types of tasks within many different application domains. However, today's big data is still on a fairly low level of abstraction when it comes to complex decision support tasks, subject to e.g. high dimensionality and significant portions of uncertainty regarding which patterns to look for in the data.

      October 2015 - September 2019 Informatics

      Envolve

      Information Fusion for Energy Efficiency.

      May 2010 - May 2012 Informatics
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se