Anna Plichta

Anna Plichta is an Assistant Professor at the Department of Computer Science, Faculty of Computer Science and Telecommunications at Jagiellonian University. Her primary discipline is Information and Communication Technology (ICT), with a strong focus on interdisciplinary applications spanning electrical engineering, bioinformatics, and educational technology.

Her research interests include machine learning techniques (neural networks, decision trees, genetic algorithms), motor diagnostics in electromechanical systems, bacterial classification using computational methods, and pedagogical strategies for student engagement. She has published widely on topics such as fault detection in induction motors, bacterial taxonomy through classifier systems, and the integration of CUDA technology for optimization problems.

Anna’s work bridges theoretical computer science with practical applications, including robotics navigation algorithms, FPGA-based signal processing tools, and e-learning systems. She is actively involved in curriculum development, particularly in evaluating strategies like industry study visits for student professionalization.

Her academic contributions span 18 documented publications, with a Hirsch index of 3 across Scopus and Web of Science. She maintains an active profile on ORCID and Scopus, reflecting her commitment to interdisciplinary research and academic collaboration.