Photo of Ivan Shtepliuk

Ivan Shtepliuk

Principal Research E, Docent

Publications

2026

Ivan Shtepliuk, Denys Myroniuk, Arsenii Ievtushenko (2026) Insights into mechanisms behind photocatalytic degradation of organic dyes using cadmium doped zinc oxide Computational and Theoretical Chemistry, Vol. 1266, Article 116076 (Article in journal) https://dx.doi.org/10.1016/j.comptc.2026.116076
Ivan I. Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi (2026) Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose Advanced Intelligent Systems, Vol. 8, Article e202500838 (Article in journal) https://dx.doi.org/10.1002/aisy.202500838

2025

Donatella Puglisi, Jens Eriksson, Kerstin Montelius, Emanuela Tavaglione, Barbara Fabbri, Rebecca Stenberg, Ivan I. Shtepliuk (2025) Machine Learning-Enhanced Odor Detection System asNext-Generation Forensic Technology AMA Proceedings, p. 120-121 (Conference paper) https://dx.doi.org/10.5162/EUROSENSORS2025/T4.3.4
Donatella Puglisi, Ivan I. Shtepliuk, Jens Eriksson (2025) Integration of Machine Learning for Next Generation Gas Sensor Technology Sensors and Microsystems: Proceedings of AISEM 2025, p. 399-403 (Conference paper) https://dx.doi.org/10.1007/978-3-032-08271-8_63
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) https://dx.doi.org/10.1016/j.ebiom.2025.106027