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Jens Eriksson

Associate Professor, Docent

Head of Applied sensor science unit

The SIO Grafen Graduate Network

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

2026

Myrtani Pieri, Siobhan Brushett, Ioannis Gallos, Sofia Fragoso, Bruno Silva, Ana Vieira, Lotta Tollstoy Tegler, Jens Eriksson, Pushpa Patel, Paula M. Mendes, Fatima Vaz, Dimitra Dionysiou, Christos Papaneophytou (2026) Applied Sciences, Vol. 16, Article 8832 (Article in journal)
Carlito S. Ponseca, Mohammed O. Musa, Feng Wang, Ignas Nevinskas, Andrius Arlauskas, Chiara Musumeci, Ali Shuaib, Fatemah Aldousari, Jens Eriksson, Kaibo Zheng, Feng Gao (2026) Scientific Reports, Vol. 16, Article 11542 (Article in journal)
Ivan I. Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi (2026) Advanced Intelligent Systems, Vol. 8, Article e202500838 (Article in journal)

2025

Donatella Puglisi, Jens Eriksson, Kerstin Montelius, Emanuela Tavaglione, Barbara Fabbri, Rebecca Stenberg, Ivan I. Shtepliuk (2025) AMA Proceedings, p. 120-121 (Conference paper)
Donatella Puglisi, Ivan I. Shtepliuk, Jens Eriksson (2025) Sensors and Microsystems: Proceedings of AISEM 2025, p. 399-403 (Conference paper)

News

A man working on a machine in a lab.

AI-boosted electronic nose detects ovarian cancer

Using machine learning, an electronic nose can 鈥渟mell鈥� early signs of ovarian cancer in the blood. The method is precise and, according to the LiU researchers behind the study, it could eventually be used to find many different cancers.