Ciril Reiner-Rozman received his PhD in 2016 from the Gutenberg University in Mainz, Germarny and worked as a Post-Doc at the Austrian Institute of Technology until 2021. The scientific focus during the PhD and beyond were the development of graphene-based field-effect transistor biosensors. Since 2020, he serves as a lecturer at the Danube Private University in Krems and also worked closely together with the scientific group of Dr. Johannes Bintinger on conductive polymer sensors composites for the development of an electronic Nose system. His research focus now is the development and integration of machine learning and artificial intelligence algorithms for the evaluation and prognosis of Smell patterns. Since 2023 he is active at the LiST at Donau Private University. His research interests also include sensor devices based on multivariable signal transduction, hierarchical database design for smell classification, aspects of dopant material integration for conductive transduction surfaces, functionalization of graphene surfaces for gas phase sensing and membrane materials for buffering of environmental conditions. He and his team are involved in the preparation of a start-up initiative, fabricating real-time read-out, Internet-of-Things compatible, printable electronic smell sensors and the underlying artificial intelligence algorithms.