Multi-Level Bayesian Models for Environment Perception (Hardcover) (ISBN-13: 9783030836535)

Dr. Csaba Benedek is a scientific advisor with the Machine Perception Research Laboratory at the Institute for Computer Science and Control (SZTAKI), Ev Lor疣d Research Network (ELKH) in Budapest, Hungary, and a professor with the Faculty of Information Technology and Bionics of the P騁er P痙m疣y Catholic University (PPCU). He obtained his PhD from PPCU in 2008, and his DSc from the Hungarian of Academy of Sciences (HAS) in 2020. Dr. Benedek has been the president of the Hungarian Image Processing and Pattern Recognition Society (K駱af), and the Hungarian Governing Board Member of the International Association for Pattern Recognition (IAPR). He has been a Senior Member of the IEEE, an Associate Editor of the journal Digital Signal Processing (Elsevier) and a Guest Editor of Remote Sensing (MDPI). His awards include the Bolyai plaquette from HAS (2019), a Researcher Acknowledgement from the HAS Secretary-General (2018), the Imreh Csan疆 plaquette (2019), and the Michelberger Master Award from the Hungarian Academy of Engineering (2020). In recent years, he has managed various national and international research projects. His research interests include Bayesian image and point cloud segmentation, object extraction, change detection, machine learning applications and GIS data analysis.