Education

Biography

Szczepan Paszkiel PhD works as an Assistant professor at the Faculty of Electrical Engineering, Automatic Control & Informatics at Opole University of Technology. He obtained a Ph.D. in Technical Sciences (automatics and robotics) in 2011. Szczepan Paszkiel Ph.D is the author of more than one hundred publications including those from ISI Master Journal List and a lecturer on several dozen scientific conferences, festivals and panel discussions. He is the winner of many prizes and competitions including those organized by Ministry of Science and Higher Education, Republic of Poland and the recipient of grants for young scientists. He is also the editor of the monograph entitled: Analysis and Classification of EEG Signals for Brain-Computer Interfaces”, Series Title: Studies in Computational Intelligence, Series Volume 852, Springer International Publishing 2020 and co-editor of the monographs entitled: Biomedical Engineering and Neuroscience, Proceedings of the 3rd International Scientific Conference on Brain-Computer Interfaces, BCI 2018, March13-14, Opole, Poland”, Advances in Intelligent Systems and Computing book series (AISC, volume 720) Springer; “Contemporary problems of biomedical engineering and neurosciences’, Opole University of Technology Publishing, 2016; the author of the first handbook in Poland entitled ‘Brain-computer Interfaces. Neuroinformatics’, 2014; the reviewer of: Biocybernetics and Biomedical Engineering Magazine; Digital Signal Processing, Elsevier B.V.; IFAC-Papers online; Advances in Computer Science Research; Informatics, Automatics, Control Measurement in Economy and Environment Protection, Advances in Intelligent and Soft Computing Series - Springer; a member of Metrology commission, Polish Academy of Sciences, Katowice Branch; a member of Faculty Engineering, Automatic Control and Informatics Council, Opole University of Technology form 2012 to 2016; nowadays a member of few commissions that operate at the Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology; the chairman of the programme Commission for biomedical engineering at Opole University of Technology; an expert and representative of the National Centre for Research and Development; the Centre of OPI Processing Information in the National Research Centre (PIB); of the European Commission and Wroclaw Research Centre EIT ; a member of expertise panels and pre-panels in the National Centre for Research and Development including being a chairman of expert teams and a head expert; the chairman of the Organizational Committee and the head organizer of the 3rd International Scientific Conference on Brain Computer Interfaces 2018 in Opole; the chairman of the Organizational Committee and the head organizer of the Nationwide Popular-Scientific Conference ‘Brain-Computer’ in 2014, Opole and II Popular-Scientific Conference ‘Brain-Computer’ in 2016, Opole; the chairman of the session on Conference ‘Problems and Progress in Metrology’ PPM 2015.

Research Interest

• Research interests focus on modern methods of control systems
• Machine learning
• Brain-computer technology and modeling of neuronal cell fractions

Scientific Activities

Teaching Experience

Honors & Awards

Publications

1. Łysiak Sz, Paszkiel (2021) A method to obtain parameters of one-column Jansen-Rit model using genetic algorithm and spectral characteristics. Appl Sci 11: 677.
2. Paszkiel SZ, Dobrakowski P, Łysiak A (2020) The Impact of Different Sounds on Stress Level in the Context of the EEG, Cardiac Measures and Subjective Stress Level: A Pilot Study. Brain Sci 10: 728.
3. Paszkiel SZ, Dobrakowski P (2021) Brain-computer technology based training system in the field of motor imagery”, IET Science Measurement and Technology, WILEY, London, UK.
4. Słapek M, Paszkiel SZ (2017) Detection of gestures without begin and end markers by fitting into Bézier curves with least squares method. Pattern Recognition Letters 100: 83-88.
5. Paszkiel SZ, Dobrakowski P (2021) The use of multilayer ConvNets for the purposes of motor imagery classification”, Rozdział wMonografiinaukowej Automation Series: Advances in Intelligent Systems and Computing, Springer.
6. Zając M, Paszkiel SZ (2020) Using Brain-Computer Interface technology for modeling 3D objects in Blender software”, Journal of Automation, Mobile Robotics &Intelligent Systems, JAMRIS Warszawa 10: 4.
7. Paszkiel SZ (2020) The use of facial expressions identified from the level of the EEG signal for controlling a mobile vehicle based on a State Machine”, Rozdział w Monografiinaukowej Automation 2020: Towards Industry of the Future, Series: Advances in Intelligent Systems and Computing, Springer.
8. Paszkiel SZ (2020) Using a WebSocket server and the JSON format to transmit data for the purposes of implementing the brain-computer technology”, Automation 2020: Towards Industry of the Future Series. Studies in Computational Intelligence, Proceedings of Automation, Warsaw, Poland, Springer.
9. International Publishing (2020) Monograph indexed in Web of Science and SCOPUS, pp. 185-194.
10. Paszkiel SZ (2020) The use of facial expressions identified from the level of the EEG signal for controlling a mobile vehicle, Automation 2020: Towards Industry of the Future Series. Title: Studies in Computational Intelligence, Springer International Publishing 2020, Proceedings of Automation 2020 , Warsaw, Poland.
11. Paszkiel SZ (2020) “Analysis and Classification of EEG Signals for Brain - Computer Interfaces”, Series Title: Studies in Computational Intelligence, Series Volume 852, Springer International Publishing 2020.
12. Paszkiel SZ, Sikora M (2019) The use of brain-computer interface to control unmanned aerial vehicle, Automation, Progress in Automation, Robotics and Measurement Techniques; Editors: Szewczyk R., Zieliński C., Kaliczyńska M .; Series: Advances in Intelligent Systems and Computing.
13. Paszkiel SZ (2019) Using the Raspberry PI2 module and the brain-computer technology for controlling a mobile vehicle, Automation. Progress in Automation, Robotics and Measurement Techniques; Editors: Szewczyk R, Zieliński C, Kaliczyńska M, Series: Advances in Intelligent Systems and Computing. Springer 2020, Switzerland.
14. Sikora M, Paszkiel SZ (2019) Muscle activity measurement using visible light and infrared. Sci dir: 27, 329-334.
15. Frącz P, Paszkiel SZ, Szpulak P (2019) Acoustic method of measuring partial discharges of electric charges distribution on the dielectric surface. Energetyka 9: 470-471.