PhD, D.Sc. Joanna Domańska
Information
Publications
2023
- Filus K.; Domańska J.; Software Vulnerabilities in TensorFlow-Based Deep Learning Applications; Computers & Security; 2023
2022
- Filus K.; Sobczak Ł.; Domańska J.; Domański A.; Cupek R.; Real-time testing of vision-based systems for AGVs with ArUco markers; IEEE International Conference on Big Data; 2022
- Marek D.; Domański A.; Domańska J.; Szyguła J.; Czachórski T.; Klamka J.; Filus K.; Approximation Models for the Evaluation of TCP/AQM Networks; Bulletin of the Polish Academy of Sciences, Technical Sciences (BPASTS); 2022
- Filus K.; Domańska J.; NAM: What Does a Neural Network See?; International Joint Conference on Neural Networks (IJCNN 2022), IEEE WCCI 2022; 2022
- Marek D.; Szyguła J.; Domański A.; Domańska J.; Filus K.; Szczygieł M.; Adaptive Hurst-Sensitive Active Queue Management; Entropy; 2022
- Marantos C.; Siavvas M.; Tsoukalas D.; Lamprakos C.; Papadopoulos L.; Boryszko P.; Filus K.; Domańska J.; Ampatzoglou A.; Chatzigeorgiou A.; Gelenbe E.; Kehagias D.; Soudris D.; SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications; 25th Design, Automation and Test in Europe Conference; 2022
2021
- Filus K.; Domańska J.; Gelenbe E.; Random Neural Network for Lightweight Attack Detection in the IoT; MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems; 2021
- Filus K.; Siavvas M.; Domańska J.; Gelenbe E.; The Random Neural Network as a Bonding Model for Software Vulnerability Prediction; Modelling, Analysis, and Simulation of Computer and Telecommunication Systems; 2021
- Marek D.; Domański A.; Domańska J.; Czachórski T.; Klamka J.; Szyguła J.; Combined diffusion approximation - simulation model of AQM’s transient behaviour; Computer Communications; 2021
- Szyguła J.; Domański A.; Domańska J.; Czachórski T.; Klamka J.; Marek D.; The IoT Gateway with Active Queue Management; International Journal of Applied Mathematics and Computer Science (AMCS); 2021
2020
- Gelenbe E.; Siavvas M.; Boryszko P.; Domańska J.; Optimum checkpoints for time and energy; IEEE MASCOTS 2020; 2020
- Domański A.; Domańska J.; Filus K.; Szyguła J.; Czachórski T.; The self-similar markovian sources; Applied Sciences; 2020
- Gelenbe E.; Domańska J.; Fröhlich P.; Nowak M.; Nowak S.; Self-Aware Networks that Optimize Security, QoS and Energy; Proceedings of the IEEE; 2020
- Szyguła J.; Domański A.; Domańska J.; Czachórski T.; Marek D.; Klamka J.; AQM mechanism with neuron tuning parameters; 12th Asian Conference on Intelligent Information and Database Systems, Phuket, Thailand; 2020
- Domański A.; Domańska J.; Czachórski T.; Klamka J.; Szyguła J.; Marek D.; Diffusion Approximation Model of TCP NewReno Congestion Control Mechanism; SN Computer Science; 2020
2019
- Domański A.; Domańska J.; Czachórski T.; Klamka J.; Marek D.; Szyguła J.; AQM Mechanism with the Dropping Packet Function Based on the Answer of Several PIα Controllers; Communications in Computer and Information Science ; 2019
Projects
Zaawansowane narzędzie utrzymania i diagnostyki aplikacji dla Start-upów IT
Project numberFENG.01.01-IP.01-A0GV/24-00Person responsibleProject duration-
Additional information
Joanna Domanska obtained a Master of Engineering degree from the Silesian University of Technology, Gliwice, Poland, in 1994. She received her PhD in Computer Science in January 2005 from the Scientific Council of the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, and defended the habilitation dissertation in Computer Science in 2015 at the Faculty of Automatic Control, Electronics and Computer Science at the Silesian University of Technology. She has taken part in seven projects for the National Science Centre, Poland, and was project leader in two of them. She is a member of the SerIoT and the SDK4ED research teams, under the EU H2020 program. She is currently an Institute Professor at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (IITIS-PAN) and member of the Computer Systems Modelling and Performance Evaluation Group since 1994, serving as leader of this group since 2018.
Her main areas of research include performance modelling methods for computer networks, particularly the modelling of network traffic intensity and the QoS related problems. Recently, her scientific interests have also been focused on the applications of Artificial Intelligence and Machine Learning to networking research. She transferred her experience regarding the analysis of properties of the network traffic to create the Machine Learning-based approach to examine the LRD behaviour of the traffic. Another recent work was focused on the improvement of Quality of Service (QoS), energy-efficiency and security by using Self-Aware Networks. Her other research endeavours were focused on the IoT security and software security.