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Jens Eriksson

Associate Professor, Docent

Head of Applied sensor science unit

The SIO Grafen Graduate Network

Jens Eriksson, Associate Professor, IFM.

New national network for 2D-materials 

In this video Jens Eriksson, Associate Professor at the Department for Physics, Chemistry and Biology, talks about the new graduate network 2D-materials. The purpose is to connect young researchers in 2D-materials on a national level, and to connect them to industry.

Publications

2025

Jens Eriksson, Donatella Puglisi, Filip Herbst, Arturas Dobilas, Ivan Shtepliuk, Ulrika Joneborg, Henrik Falconer, Angelique Floter Radestad, Christer Borgfeldt (2025) Machine learning-enhanced gas sensor technology identifies ovarian and endometrial cancer of all stages through plasma volatile organic compound patterns eBioMedicine, Vol. 122, Article 106027 (Article in journal) Continue to DOI
Jens Eriksson, Ivan Shtepliuk, Donatella Puglisi (2025) Toward self-learning sensor devices for precision molecular identification Chem, Vol. 11, Article 102612 (Article in journal) Continue to DOI
Ivan Shtepliuk, Kerstin Montelius, Jens Eriksson, Donatella Puglisi (2025) Adaptive Machine Learning for Electronic Nose-Based Forensic VOC Classification Advanced Science, Vol. 12, Article e04657 (Article in journal) Continue to DOI
Ivan I. Shtepliuk, Guillem Domènech-Gil, Viktor Almqvist, Arja Helena Kautto, Ivar Vågsholm, Sofia Boqvist, Jens Eriksson, Donatella Puglisi (2025) Electronic nose and machine learning for modern meat inspection Journal of Big Data, Vol. 12, Article 96 (Article in journal) Continue to DOI
Ivan Shtepliuk, Donatella Puglisi, Jens Eriksson (2025) Computational insights into the adsorption of lung cancer biomarkers on graphene-based materials and interfacial phenomena Applied Surface Science, Vol. 696, Article 162985 (Article in journal) Continue to DOI

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