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Gunnar Mathiason

Data Scientist. Machine Learning Researcher. Musician. Runner. Traveler.

Schedule

  • 15 March 2023/Wed: Vinnova Metalliska Material programkonferens, Invited speaker.
  • 17 March 2023/Fri: Abstract submisison: ISF.
  • 17 March 2023/Fri: DL: 43rd International Symposium on Forecasting.
  • 19 March 2023/Sun: CFP: IEEE Conference on Artificial Intelligence (IEEE CAI), Poster + Paper.
  • 30 March 2023/Thu: TO60/22.
  • 03 April 2023 - 07 April 2023-/Mon: 9th International School on Deep Learning, Bari.
  • 05 April 2023/Wed: GAIA 2023.
  • 18 April 2023 - 19 April 2023-/Tue: Smart Industry @Halmstad.
  • 18 April 2023/Tue: VMAP Kista.
  • 25 June 2023 - 28 June 2023-/Sun: ISF, C ville.
  • 17 July 2023 - 21 July 2023-/Mon: 10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING.
  • 05 September 2023/Tue: Vinnova: Individrörlighet för tillämpad AI, automation och datadelning 2023.

  • My AI says:
    I checked a text generation AI and got this: “I wrote about this time I stayed at my Aunt mountain house when I was a kid and it was fun, and I thought I’d be sitting at the camp in the car or something. It’s not a real camping…
  • Project INSITE-X: Learning complexity
    In our new industrial project we aim for a better simulation of complex machines processes in steel rolling. Deep Learning may capture this complexity to be able to simulate detailed in-production behavior. News release from the funding agency Vinnova/PiiA newsletter [in Swedish] Högskolan i Skövde newsroom [in Swedish]Voister article…
  • House rules for the Hybrid Office
    Yes, we have gotten quite good at Zoom meetings by now. As we soon get the chance to get back to the physical office, there’s some pondered to do on how both in-office and remote people can be included for a well-working hybrid office. We need workplace participation on…
  • AI Music and Creativity
    I am attending “The 2020 Joint Conference on AI Music Creativity” this week. I was not aware of the advanced ML usage in music co-creation. There are many algorithmic tools available that actually do musical composition and real-time musical co-creation. I was stunned by the demo of the saxophonist…
  • Learn how to write better
    I have looked for good written sources of how to develop academic writing, targeting both PhD students and myself. I found the following three books and I do recommend them. Many people in the world who speak English professionally are non-native, and proper academic writing is hard but also…

All research updates

All personal updates

LINKS

Univ. of Skövde web page/email
SAIL research group web
TimeEdit bookings
DiVA publication list
Google Scholar
LinkedIn
Orc ID 0000-0001-7106-0025
EDAS 1390100

Current projects

AIMe
INSITE-X
Smart Industry Sweden

Past projects
Swedish Metal
Dataflow

The Rookies

RESEARCH BIO

Senior lecturer (Docent, PhD) in computer science, with a research background in analysis of complex systems, distributed systems and databases, and applied ML.

The research focus in recent years includes explainable and trustworthy AI systems. Along with dramatically increased capabilities of algorithms, there is a now need for designing AI system intentionally for capabilities of for instance explaining AI model uncertainty and AI model assumptions. The adaptation degree of AI used in  new critical application areas will depend on how transparent automated decisions will be.

Since 2016, Dr. Mathiason has developed multiple collaborations with the Swedish steel industry with the intention to increase utilization of AI in the steel industry. Leading the recent projects Dataflow (Outokumpu, Jernkontoret, funded by VINNOVA), Swedish Metal (SSAB and Sandvik SMT, funded by KK), and now INSITE-X (Ovako, Ouokumpu, funded by VINNOVA) several novel papers were published on advanced process analysis using deep learning (DL): In Dataflow, DL was used for revealing the exact part steel sheet shapes determining telescoping errors, while in Swedish Metal a complex steel converter process was modelled using DL. The new project INSITE-X (Ovako and Outokumpu) will use DL to learn a detailed digital twin from only high-resolution data to model dynamic in-production machine behavior.

In 2019, Dr. Mathiason was appointed by Jernkontoret for delivering texts on the strategic utilization of AI in industry for further developing the research agenda of VINNOVA’s Strategic Innovation Program Metallic Material. Dr. Mathiason has also been an adjunct member of Jernkontoret’s Board of Digitalization since 2019.

Keywords: "Complex systems, Analytics, Machine Learning"

MUSIC GIGS

Sound Engineering:

July-Aug 2022 at Lilla Björkö:
Sarah Klang,
David Ritschard & Krokodiltårarna,
Bro Mesa,
Emil Jensen

July-Aug 2021 at Lilla Björkö:
Ebbot Lundberg with Julia Frej,
Franska Trion,
Bro Mesa,
Moonica Mac,
Louise Hoffsten,
Simon Swanström med LSH

Aug 2019 at Lilla Björkö:
Ebbot Lundberg with Julia Frej

Performances:

Act: Stranger in Town 2020 -
Tracks here
Youtube
(A Toto Covid Lockdown Collab Project)
Keyboards

Act: The Rookies 2020 -
Tracks here
(A Classic Rock Project)
Keyboards

Act: Candle Lights 2020 -
(Band)
Keyboards

Act: Graceland 2010 - 2019
Tracks here
(Elvis Presley Tribute)

Keyboards

Act: Sound 2019
(Piano backing tracks+Allsång Mariestad)

MORE

Memorial Stig Mathiason here

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