Assoc. Professor Vladimir Socha, PhD. (year of birth: 1989) achieved his initial university-level qualifications in the field of Air Transport Management and Prosthetics and Orthotics at the Technical University of Kosice, Slovakia, in 2011. He later earned his M.S. degree in Biomedical and Clinical Technology from the Faculty of Biomedical Engineering at Czech Technical University (CTU) in Prague, Czech Republic, in 2013. Subsequently, he completed his Ph.D. in Transportation at the Faculty of Aeronautics at the Technical University of Kosice in 2016 and was appointed as an Associate Professor in 2018 at CTU in Prague. Presently, he holds the position of Head of the Laboratory and Deputy Head of the Department of Air Transport at CTU in Prague, and also serves as the Deputy Vice-Dean for Science and Research at the Faculty of Transportation Sciences, CTU in Prague. His areas of research expertise encompass signal processing, automation in aviation including unmanned aviation, biomedical and clinical technologies, as well as statistics and machine learning.
Assoc. Professor Vladimir Socha, PhD. (year of birth: 1989) achieved his initial university-level qualifications in the field of Air Transport Management and Prosthetics and Orthotics at the Technical University of Kosice, Slovakia, in 2011. He later earned his M.S. degree in Biomedical and Clinical Technology from the Faculty of Biomedical Engineering at Czech Technical University (CTU) in Prague, Czech Republic, in 2013. Subsequently, he completed his Ph.D. in Transportation at the Faculty of Aeronautics at the Technical University of Kosice in 2016 and was appointed as an Associate Professor in 2018 at CTU in Prague. Presently, he holds the position of Head of the Laboratory and Deputy Head of the Department of Air Transport at CTU in Prague, and also serves as the Deputy Vice-Dean for Science and Research at the Faculty of Transportation Sciences, CTU in Prague. His areas of research expertise encompass signal processing, automation in aviation including unmanned aviation, biomedical and clinical technologies, as well as statistics and machine learning.