Monika Rybczak is a graduate of the Faculty of Electrical Engineering at the Gdynia Maritime Academy, majoring in Computer Control Systems. She obtained her doctoral degree in 2016. She was deputy head of the Department of Ship Automation at the Faculty of Electrical Engineering of the Maritime University of Gdynia from 2020 to 2024, and is currently employed at the Faculty of Computer Science in the Department of Systems Autonomous. Conducts research in the field of autonomous systems. The research focuses on real ship control using linear matrix inequalities and reinforcement learning. A second research area is the performance analysis of control algorithms based on artificial intelligence and Industry 4.0 and mobile robots like TurtleBot3.

ORCID iD: https://orcid.org/0000-0002-8518-865X 

Web of Science: https://www.webofscience.com/wos/author/record/711186 

                            :Web of Science Researcher IDU-8961-2019

ResearchGate: https://www.researchgate.net/profile/Monika-Rybczak?ev=prf_overview 

Google Scholar: https://scholar.google.com/citations?user=HWJ4ccwAAAAJ&hl=pl 

Linkedin: https://www.linkedin.com/in/monika-rybczak-080b62334/?isSelfProfile=true 

Research areas: ship control systems, autonomous vehicles, mobile robots, artificial intelligence, unmanned and autonomous ships, programmable logical control, Industry 4.0

Most important publications:

• Lazarowska A., Rybczak M., Łącki M., Kozakiewicz K., Lisowski J., Stateczny A., 2026, "A Survey of Machine Learning Algorithms for Autonomous Vehicles", Electronics, Vol. 15 (10), 2073, https://doi.org/10.3390/electronics15102073.
• Rybczak M., 2026, "PSO method for optimizing loss function weights for ship model control", Autonomous Transport (1st ed.), CRC Press, Abramowicz-Gerigk, T., Soszyńska-Budny, J., Burciu, Z., Weintrit, A. (Eds.), pp. 76-88, https://doi.org/10.1201/9781003686088.
• Kozakiewicz K., Lazarowska A., Lisowski J., Rybczak M., "A Survey of Machine Learning Methods Applied for Enhancing the Autonomy of Unmanned Underwater Vehicles," IEEE EUROCON 2025 - 21st International Conference on Smart Technologies, Gdynia, Poland, 2025, pp. 1-6, doi: 10.1109/EUROCON64445.2025.11073194.
• Kozakiewicz K., Lazarowska A., Lisowski J., Łącki M., Rybczak M. and Szarmach M., "Using Game Control to Manage the Safety of Autonomous Maritime Objects," IEEE EUROCON 2025 - 21st International Conference on Smart Technologies, Gdynia, Poland, 2025, pp. 1-6, doi: 10.1109/EUROCON64445.2025.11073504 .
• Rybczak M., Popowniak N., Lazarowska A., A Survey of Machine Learning Approaches for Mobile Robot Control, Robotics, Vol. 13 (1), 12, 2024,  https://doi.org/10.3390/robotics13010012(link is external)
• Rybczak M., Lazarowska A. : The development of algorithms for safe control of an autonomous ship, Journal of Electronics and Telekommunications, 2024, vol. 70, no. 4, pp. 997–1003, https://doi.org/10.24425/ijet.2024.152087  (link is external)   
• Rybczak, M.; Cieślikiewicz W.: Effect of lake waves on manoeuvring performance of a model ship. Ships and Offshore Structures, s, 19:10, 1726-1739, 2024, DOI: 10.1080/17445302.2024.2309430
• Rybczak M., Kozakiewicz K., 2024, Deep Machine Learning of MobileNet, Efficient, and Inception Models, Algorithms 17 (3), 96,  https://doi.org/10.3390/a17030096(link is external)
• Rybczak M., Gierusz W., Maritime autonomous surface ships in use with LMI and overriding trajectory controller. Applied Sciences, vol. 12(issue 19):art. no. 9927, s. 1, 2022., https://doi.org/10.3390/app12199927(link is external)
• Rybczak M., Popowniak N., Kozakiewicz K., Applied AI with PLC and IRB1200. Applied Sciences, vol. 12(issue 24):art. no. 12918, s. 1, 2022, https://doi.org/10.3390/app122412918(link is external)
• Miller A., Rybczak M., Rak A.,. Towards the autonomy: control systems for the ship in confined and open waters. Sensors, vol. 21(issue 7):art. no. 2286, s. 1, 2021.,  https://doi.org/10.3390/s21072286(link is external)
• Rybczak M., Podgórski K., Pareto effect of LMI for ship propulsion. Applied Sciences, vol. 11(issue 16):art. no. 7297, s. 1, 2021., https://doi.org/10.3390/app11167297(link is external)