Security, Modelling and Performance Evaluation Group
Info
Team leader
Team members
Systems Modelling and Performance Evaluation and Security Group (SMaPESG) conducts research on models of computer systems and novel methods of modelling. In the scope of interests of the Group there are mainly models of computer networks. We are engaged in simulation and analytical modelling, both queuing models and other methods. Our experience embraces using of well-established modelling packages, like NS, OmNET++ or PRISM as well as creation of advanced proprietary software working in parallel environments.
Publications
Published
2026
- Kelesoglu N.; Sobczak Ł.; Domańska J.; CPU Utilization Forecasting in Large-Scale Cloud Clusters Using Gradient Boosting; 7th Polish Conference on Artificial Intelligence (PP-RAI'2026); 2026
2025
- Halama M.; Optimization for Pre-trained CNNs; SCIENCE TECHNOLOGY ENGINEERING MATHEMATICS; 2025
- Bergquist J.; Gelenbe E.; Nasereddin M.; Sigman K.; Mitigating massive access with Quasi-Deterministic Transmission: Experiments and stationary analysis; Performance Evaluation ; 2025
- Gelenbe E.; Nasereddin M.; Data Driven Optimum Cyberattack Mitigation; IEEE DSAA'25: Data Science and Advanced Analytics Conference, Birmingham, UK; 2025
- Kuaban G.; Czachórski T.; Atmaca T.; Czekalski P.; Analytical Power Efficiency Models for Open Radio Access Network (O-RAN); 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication System; 2025
- Kuaban G.; Czachórski T.; Gelenbe E.; Pecka P.; Czekalski P.; Energy Dynamics of Green IoT Nodes with Time-Varying Energy Harvesting, Leakage, and Consumption Patterns; 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication System; 2025
- Kuaban G.; Atmaca T.; Turgut Z.; Czachórski T.; Czekalski P.; Leveraging Packet Aggregation to Optimise QoS and Energy Trade-offs in 5G/6G Optical Fronthaul Networks; The 21st International Conference on Wireless and Mobile Computing, Networking and Communications.; 2025
- Filus K.; Pokuciński S.; SPHEREA: Synthetic dataset generation for equirectangular panoramas of home environments; Knowledge-Based Systems; 2025
- Halama M.; Połys K.; Domańska J.; Speech-based analysis of aggression in social content: resistance of Large Language Models to signal degradation; 2025 IEEE International Conference on Big Data; 2025
- Filus K.; Domańska J.; How CNNs and ViTs perceive similarities between categories; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD); 2025
- Sobczak Ł.; Biernacki P.; Domańska J.; Visual Encoding Method for Semantic Mapping with Federated Learning Concept; MobiHoc '25: Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM Symposium on Mobile Ad Hoc Networking and Computing); 2025
- Zhang Z.; Han H.; Yan Z.; Gelenbe E.; A Survey on Cross-Shard Transaction Allocation Optimization and Processing Mechanisms; IEEE Communications Surveys and Tutorials; 2025
- Czekalski P.; Borowiecki M.; Pochopie´ B.; Kuaban G.; An Analysis and Implementation of the Switching Sequence Table Method; 29th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems; 2025
- Czekalski P.; Tokarz K.; Kuaban G.; Sell R.; Nikitenko A.; Berkolds K.; Lipka Ł.; Design and Implementation of a Next-Generation Remote Lab for IoT and Industry 4.0; 29th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems; 2025
- Sell R.; Czekalski P.; Tokarz K.; Kuaban G.; Nikitenko A.; Berkolds K.; Lipka L.; An international hands-on IoT education platform towards Industry; Proceedings of the Estonian Academy of Sciences; 2025
- Kuaban G.; Nycz T.; Nycz M.; Czachórski T.; Czekalski P.; Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations; 25th International Conference on Computational Science; 2025
- Nwobodo O.; Kuaban G.; Wereszczyński K.; CYRAN K.; Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments; 25th International Conference on Computational Science; 2025
- Kuaban G.; An Analytical Design Framework for Dimensioning Solar-powered Green IoT Nodes; The 21st International Wireless Communications & Mobile Computing Conference; 2025