Helps students see the joy in learning.
Professor Marek Gorgoń holds the position of Vice-Rector for Science at AGH University of Science and Technology in Kraków, Poland, within the Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering. He is also Head of the Department of Automatic Control and Robotics. Gorgoń obtained his MSc in electronics and control in 1988, PhD in automation and robotics in 1995, DSc (habilitation) in 2007, and was awarded the title of professor of technical sciences in 2015, all from AGH. His academic career began in 1986 during his studies at the Faculty of Electronics, Automatics and Electrical Engineering, where he joined the Biocybernetics Laboratory in the Department of Automatic Control. He has held a permanent position at AGH since 1994. From 2012 to 2020, he served as a member of the AGH Senate, including as Chairman of the Statutory-Regulatory Commission in 2016–2020. He is a member of the Senate, Library Council, and Discipline Council for Automatics, Electronics, Electrical Engineering, and Space Technologies.
Gorgoń's research interests encompass automation, robotics, electronics, and technical informatics, with a primary focus on developing vision systems capable of rapid camera data analysis using FPGA reconfigurable circuits and artificial intelligence algorithms. He leads the Embedded Vision Systems group at the Computer Vision Laboratory. Key projects under his leadership include the development of solutions using event cameras for autonomous UAVs (2020-2022), a model of the Witrak videotracker in FPGA (2017-2018), a vision system for acorn scarification and liveliness evaluation (2015-2016), and the SIMPOZ intelligent surveillance system (2011-2013). He has co-organized collaboration between AGH and CERN's ALICE experiment, contributing to AGH's full membership. Gorgoń has authored two monographs and over 120 scientific publications, including "Środowisko programowo-sprzętowe do akwizycji, przetwarzania i wizualizacji złożonych sygnałów w oparciu o układy FPGA nowej generacji" (2006), "FPGA-based DVCPRO HD decoder implementation using Impulse C" (2013), "Real-time implementation of moving object detection in video surveillance systems using FPGA" (2011), and "Neural Network Implementation in Reprogrammable FPGA Devices" (2006). He has supervised four doctoral theses and co-organizes the DASIP international conference.