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Magnus Bång

Senior Associate Professor

Universitetslektor

Publications

2025

Leonhard Faubel, Thomas Woudsma, Benjamin Kloepper, Holger Eichelberger, Fabian Buelow, Klaus Schmid, Amir Ghorbani Ghezeljehmeidan, Leila Methnani, Andreas Theodorou, Magnus Bång (2025) MLOps for Cyberphysical Production Systems: Challenges and Solutions IEEE Software, Vol. 42, p. 65-73 (Article in journal) Continue to DOI

2024

Magnus Nylin, Jonas Lundberg, Magnus Bång, Kostiantyn Kucher (2024) Glyph Design for Communication Initiation in Real-Time Human-Automation Collaboration Visual Informatics, Vol. 8, p. 23-35 (Article in journal) Continue to DOI
Jonas Lundberg, Magnus Nylin, Gesa Praetorius, Anders A. Jansson, Magnus Bång (2024) Modelling operator control work across traffic management domains: implications for interaction design Cognition, Technology & Work, Vol. 26, p. 281-299 (Article in journal) Continue to DOI

2023

Gianluca Manca, Nilavra Bhattacharya, Sylvia Maczey, Dawid Ziobro, Emmanuel Brorsson, Magnus Bång (2023) XAIProcessLens: A Counterfactual-Based Dashboard for Explainable AI in Process Industries HHAI 2023: AUGMENTING HUMAN INTELLECT, p. 401-403 (Conference paper) Continue to DOI
M. Cocchioni, S. Bonelli, Carl Westin, C. Borst, Magnus Bång, B. Hilburn (2023) Learning for Air Traffic Management: guidelines for future AI systems 12TH EASN INTERNATIONAL CONFERENCE ON "INNOVATION IN AVIATION & SPACE FOR OPENING NEW HORIZONS", Article 012105 (Conference paper) Continue to DOI

News

Två persons infront of a row of computer screens in an air traffic control tower at night.

AI learning user behaviour – the future of automation

Automated systems collaborating with humans will be better if they get to know the user through artificial intelligence compared with traditional systems that the user has to learn. This is shown in a recent study involving air traffic controllers.
A portrait of Magnus Bång standing in between two shelves filled with electronics

Better results when AI and humans collaborate

Artificial intelligence that doesn’t take into account human operators creates problems. Now LiU researchers are building a system where AI and humans work together to control air traffic.
Multiple cargo ships meet in a narrow strait.

Research collaboration in Östergötland to increase shipping efficiency

LiU and the Swedish Maritime Administration have established research collaboration to develop more sustainable, efficient and safe shipping operations based on such technology as artificial intelligence and interactive visualisation.

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