Adam Głowacz

Adam Głowacz is an Associate Professor at the Department of Infotronics and Cybersecurity, Faculty of Electrical and Computer Engineering, Jagiellonian University. He holds degrees of BEng, PhD, and DSc. His research focuses on machine learning, artificial intelligence, cybersecurity, signal processing, materials science, and automation engineering, with particular emphasis on fault efficiency, neural networks, and acoustic analysis.

His work integrates interdisciplinary approaches such as deep learning, transfer learning, and materials prognostics. He has contributed to projects involving nanofluid, anthocyanin, and mobile nodes, leveraging platforms like Arduino and CENTernet. His expertise spans both theoretical and applied domains, including acoustic signal damage detection and DSSCS/ESEDG frameworks.

With 14 documented publications and notable h-index scores (Scopus: 6, WoS: 7), his research impacts automation, electronics, and electrical engineering. No specific grants, advising details, or laboratory affiliations are explicitly listed in the provided profile.