Key details
Dr Mariusz Pelc
Mariusz Pelc Senior Lecturer in Computer Systems and Networking (AI-powered Expert Cyber Systems)
Mariusz Pelc is a Senior Lecturer in the School of Computing and Mathematical Sciences, Faculty of Engineering and Science, University of Greenwich. His research interests spread across many research domains (computer control systems, bio-informatics and cybersecurity) where he extensively uses AI / ML tools and techniques as well as various implementations of expert systems.
He has published his research in many scientific journals including Scientific Reports, IFAC Papers and Frontiers in Neuroscience.
He has been involved, as Co-Principal and co-Investigator, in grants in worth in excess of £6m.
In 2007 he was employed at University of Greenwich as a Research-Fellow working on an EU-funded project, DySCAS, and has held a Senior lecturer position since 2009. While working for the University of Greenwich he was also appointed as Associate Professor in Computer Control Systems at Opole University of Technology (2014-2023) and Associate Professor in Computer Science at University of Opole (2023-present).
Responsibilities within the university
Module leader
- Enterprise Server Management and Security
- Operating Systems
- System Administration and Security
- Network Architectures and Services
- Network Technology
Awards
External Grants
| 2022–2025 | Co-PI, CHIST-ERA BANANA (Opole: €300, total project value: €1M). |
| 2007–2009 | Co.I., DySCAS, (Greenwich: £250K, total project value: €4.7M). |
Recognition
Advisory Groups & Memberships
Scientific Committee Member, PES 17 Conference, Telecom (MDPI) Topic Advisory Panel since 2020.
Expert / Grants reviewer
Polish National Centre of Research and Development (since 2023)
Journal editorships
Tomography (MDPI) Special Issue Editor: “AI Imaging Diagnostic Tools” since 2020, Frontiers in Neurosciences, Topic Editor "Currents in Biomedical Signal Processing" since 2020
Invited talks
PhD Workshop (International Summer School) at VSB Technical University of Ostrava, “How to write a decent research paper”, 2021, 2022
Research / Scholarly interests
Research topics
- Computer Control Systems
- Bio-Informatics
- Cybersecurity
- AI
Research supervision
Doctoral Students
- Aleksandra Kawala-Janik (Univ. of Greenwich, 2010-2013) “Efficiency evaluation of external environments control using bio-signals”.
- Patrick Schembri (Univ. of Greenwich, 2018-2021) “Brain-Computer Interface (BCI) on the basis of Electroencephalography (EEG) signals: The Effect of Taxonomized Distractions”.
- Patryk Mendoń (Opole Univ. of Technology, since 2022) “ML-Based “Using Big Data tools for internet bots detection”.
- Marcin Szymanek (Univ. of Opole, since 2023) “Systems vulnerability re-assessment using AI-based tools”.
Recent publications
2023
Bauer, W., Dylag, K.A., Lysiak, A., Wieczorek-Stawinska, W., Pelc, M., Szmajda, M., Martinek, R., Zygarlicki, J., Bando, B., Stomal-Slowinska, M., Kawala-Sterniuk, A. (2023).Initial Study on Quantitative Electro-encephalographic Analysis of Bioelectrical Activity of the Brain of Children with Fetal Alcohol Spectrum Disorders (FASD) without Epilepsy. Scientific Reports, 13(1), 109, Nature.
2022
Lalita Chopra, Jasgurpreet Singh Chohan, Shubham Sharma, Mariusz Pelc, Aleksandra Kawala-Sterniuk: Multifunctional Modified Chitosan Biopolymers for Dual Applications in Biomedical and Industrial Field: Synthesis and Evaluation of Thermal, Chemical, Morphological, Structural, In Vitro Drug-Release Rate, Swelling and Metal Uptake Studies. Sensors 22(9): 3454 (2022)
Amir F. Al-Bakri, Radek Martinek, Mariusz Pelc, Jaroslaw Zygarlicki, Aleksandra Kawala-Sterniuk: Implementation of a Morphological Filter for Removing Spikes from the Epileptic Brain Signals to Improve Identification Ripples. Sensors 22(19): 7522 (2022)
Kawala-Sterniuk, A., Gajos, A., Pawłowski, M., Libionka, W., Duch, W. P., Pańczyszak, B., Stomal-Slowinska, M., Podpora, M., Sudol, A., Bauer, W., Pelc, M., Zygarlicki, J., Sterniuk, P. (2022, June). The Use of Various Neurostimulators in Therapy of Neurodegenerative Disorders–A Survey. In 2022 Progress in Applied Electrical Engineering (PAEE) (pp. 1-6). IEEE.
Kawala-Sterniuk, A., Zygarlicki, J., Lysiak, A., Grochowicz, B., Pelc, M., Bauer, W., Baczkowicz, D., Krecisz, K., Dylag, K. A., Wieczorek, W., Kahankova, R., Martinek, R. (2022, June). Influence of the variables describing brain signals on the performance of the Naive Bayesian Classifier. In 2022 Progress in Applied Electrical Engineering (PAEE) (pp.1-5). IEEE.
Al-Bakri, A. F., Martinek, R., Pelc, M., Zygarlicki, J., Kawala-Sterniuk, A. (2022). Implementation of a Morphological Filter for Removing Spikes from the Epileptic Brain Signals to Improve Identification Ripples. Sensors, 22(19), 1–15
Tomicka, J., Cichon, K., Chlewicki, W., Holicki, W., Pelc, M., Zygarlicki, J., Podpora, M., Kawala-Sterniuk, A. (2022). Pilot Study on Application for Analysis of Magnetic Resonance Spectroscopy Spectra. IFAC-PapersOnLine, Vol. 55, Issue: 4, 2022, pp. 45-50, ISSN 2405-8963, Elsevier.
Kawala-Sterniuk, A., Al-Bakri, A. F., Pelc, M., Cichon, K., Chlewicki, W., Martinek, R., Możaryn, J., Khoma, V., Kenyo, H., Gorzelańczyk, E.J., Podpora, M., Zygarlicki, J. (2022). Initial Study on Implementation of Smoothing Filters for the Purpose of Bioimpedance Spectroscopy Parameters Classification. IFAC-PapersOnLine, Vol. 55, Issue: 4, 2022, pp. 393-398, ISSN 2405-8963, Elsevier
Kawala-Sterniuk, A., Pelc, M., Martinek, R., Wójcik, G.M. (2022). Editorial: Currents in biomedical signals processing—methods and applications. Front. Neurosci. 16:989400
Chopra, L., Chohan, J.S., Sharma, S., Pelc, M., Kawala-Sterniuk, A. (2022). Multifunctional Modified Chitosan Biopolymers for Dual Applications in Biomedical and Industrial Field: Synthesis and Evaluation of Thermal, Chemical, Morphological, Structural, In Vitro Drug-Release Rate, Swelling and Metal Uptake Studies. Sensors 22(9), 3454
2021
N. Browarska, A. Kawala-Sterniuk, J Zygarlicki, M. Podpora, M. Pelc, R. Martinek, E. J. Gorzelanczyk, Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation, Brain Sciences 11 (1), p. 98, 2021
Aleksandra Kawala-Sterniuk, Natalia Browarska, Jaroslaw Zygarlicki, Marcin Kaminski, Barbara Grochowicz, Mariusz Pelc: The Use of Counting Peaks Method for the Purpose of Smoothing Filtering Efficiency Assessment in Analysis of Electroencephalography Data. MMAR 2021: 73-78
Czarnecki, M., Ziolkowski, M., Chodkiewicz, J., Dlugosz, A., Feldheim, J., Waszkiewicz, N., Kulak-Bejda, A., Gorzkiewicz, M., Budzynski, J.,Junkiert-Czarnecka, A., Siomek-Gorecka, A., Nicpon, K., Kawala-Sterniuk, A., Ferri, R., Pelc, M., Walecki, P., Laskowska, E., Gorzelanczyk, E. J. (2021). Initial study on COMT and DRD2 gene polymorphisms as well as the influence of temperament and character trait on the severity of alcohol craving in alcohol-dependent patients. Journal of Clinical Medicine,10(24), 5892
Kawala-Sterniuk, A., Browarska, N., Al-Bakri A., Pelc, M., Zygarlicki, J., Sidikova, M., Martinek, R., and Gorzelanczyk, E. J. (2021). Summary of Over Fifty Years with Brain-Computer Interfaces – A Review. Brain Sciences, 11, no. 1: 43, MDPI
Kawala-Sterniuk, A., Browarska, N., Zygarlicki, J., Niemczynowicz, M., and Pelc, M. (2021). Ponad pół wieku istnienia interfejsów mózg-komputer: nauka czy fantastyka?, Zeszyty Naukowe Politechniki Opolskiej– IN PRESS
Browarska, N., Zygarlicki, J., Pelc, M., Niemczynowicz, M., Zygarlicka, M. and Kawala-Sterniuk, A. (2021). Pilot Study on Using Innovative Counting Peaks Method for Assessment Purposes of the EEG Data Recorded from a Single-Channel Non-Invasive Brain-Computer Interface. The 25th International Conference on Methods and Models in Automation and Robotics (MMAR 2021) – IN PRESS
2020
Aleksandra Kawala-Sterniuk, Michal Podpora, Mariusz Pelc, Monika Blaszczyszyn, Edward Jacek Gorzelanczyk, Radek Martinek, Stepan Ozana,Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes., Sensors 20(3): 807 (2020)
Patrick Schemrbi, Mariusz Pelc, Jixin Ma, Impact of Mental Fatigue during Repetitive Exercises of a Visual P300 Speller. BIOSIGNALS 2020: 156-163
Patrick Schembri, Mariusz Pelc, Jixin Ma, The Effect That Auditory Distractions Have on a Visual P300 Speller While Utilizing Low-Cost Off-the-Shelf Equipment. Comput. 9(3): 68 (2020)