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I am a scientific advisor (DSc) and the head of research group on Geo-Information Computing (GeoComp) in the Machine Perception Research Laboratory (MPLab) of the Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network. Besides, I am a full professor with the Faculty of Information Technology and Bionics, Péter Pázmány Catholic University (PPKE ITK), Budapest, where I teach Basic Image Processing and Computer Graphics, and supervise Ph.D. and undergraduate students.

Currently I am also serving as a vice chairman of the John von Neumann Computer Society, the oldest IT society in Hungary, I am the president of the the Hungarian Association for Image Processing and Pattern Recognition, and the Hungarian Governing Board Member in the International Association of Pattern Recognition (IAPR). Since 2022, I am a member of the Technical Area Committee Signal and Data Analytics for Machine Learning (SIG-DML) of the European Association for Signal Processing (EURASIP).

My research work focuses on the interpretation and reconstruction of dynamic urban scenes from LIDAR point cloud sequences, using both aerial measurements and mobile/terrestrial data of different laser scanners. I also deal with various pattern recognition problems in medical image analysis and in remote sensing based on multimodal measurements, using probabilistic and machine learning based approaches. A book about my research results titled "Multi-Level Bayesian Models for Environment Perception" has been published by Springer in 2022.

I also work as an Editorial Board Member for Digital Signal Processing: A Review Journal (Elsevier), and as a Guest Editor for Remote Sensing. I have been the principal investigator of multiple Hungarian Scientific Research Fund (OTKA) projects of the National Research Development and Innovation Office of Hungary, and project leader in various National, EU-funded, EDA and ESA projects.

In the recent years, I have been a visitor among others to the Australian Centre for Field Robotics and to the CSIRO ICT Center at Sydney Australia, to DLR Oberpfaffenhofen and to the University of the German Armed Forces at Munich, Germany, to the University of Pisa, and to the Florida State University, Tallahassee, FL. Starting from October 2008, I worked for 12 moths as a postdoctoral researcher with the ARIANA project-team of INRIA Sophia Antipolis-Méditerranée, France. I received Janos Bolyai Research Fellowship from the Hungarian Academy of Sciences for two periods between 2010-2013 and 2015-2018, and I was awarded Bolyai Plaquette in 2019.

Contact address:

Institute for Computer Science and Control, Room 306, H-1111, Kende utca 13-17, Budapest, Hungary, Phone: (36)-1-279-6097

E-mail:

  • benedek.csaba AT sztaki.hu

Research interest:

  • Image and video segmentation, object recognition, event analysis

  • 3D point cloud processing

  • 3D medical image analysis and its VR/AR applications

  • Remote sensing applications: Aerial and satellite image classification, change detection, object recognition

    • Radar (ISAR) image classification, target identification and tracking

    • Aerial and terrestrial LIDAR data analysis (3D scene interpretation and reconstruction)

    • Video surveillance background segmentation, shadow detection, target tracking)

  • Statistical approaches applied in computer vision and pattern recognition

    • Markov Random Fields, Marked Point Processes, Stochastic optimization