Guest LECTURER Dr. Vedran Jurdana (University of Rijeka)

Guest LECTURER at TKP weekly meeting

Dr. Vedran Jurdana (University of Rijeka, Faculty of Engineering, Croatia)

Time-Frequency Signal Analysis with Applications

March 22, 2024: 10 a.m.TKP meeting, online

Abstract

Time-frequency distributions (TFDs) provide a set of powerful tools for analyzing non-stationary signals, effectively overcoming the limitations inherent in the conventional Fourier transform. Over the years, a number of TFDs have been developed, each aimed at meeting the growing requirements in signal processing and accommodating the unpredictability and variability inherent in real-world signals. This has led to new challenges, prompting the implementation of many modern techniques from diverse areas, such as Compressive Sensing (CS) and Machine Learning (ML). In this talk, I will present research directions conducted in the time-frequency signal analysis field at the University of Rijeka (Croatia), Faculty of Engineering, with a specific focus on the encountered challenges, connection with CS and ML methods, and their applications in the analysis of electroencephalogram and tire sensor real-world signals.

Biography

Vedran Jurdana received a Ph.D. from the Faculty of Engineering, University of Rijeka, Croatia, in 2023. He is currently a Postdoctoral Researcher at the Department of Automation and Electronics, Faculty of Engineering, University of Rijeka (Croatia). As a teaching assistant, he has contributed to several courses, including Digital Electronics, Signals and Systems, Digital Signal Processing and Statistical Signal Analysis in the undergraduate and graduate programs of electrical and computer engineering, as well as in the Lifelong Learning Programs. He has actively participated in several scientific projects and collaborated with research groups at national and international academic institutions. His master's thesis was conducted in collaboration with the Institute for Electrical Drives and Power Electronics at Johannes Kepler University Linz (Austria). Further research experience has been increased by spending research visits to institutions such as the Institute of Microwave and Photonic Engineering at Graz University of Technology (Austria), the Faculty of Engineering and Computer Science at the University of Maribor (Slovenia), and the Faculty of Informatics at Eötvös Loránd University Budapest (Hungary). His current research interests include digital signal processing, time-frequency signal analysis, compressive sensing, information theory, and electroencephalogram data processing.