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
Submitted
2026
- Nasereddin M.; Gelenbe E.; Parameter Sensitivity of AADRNN-Based Attack Detection; Submitted: 31st Symposium on Computers and Communications (IEEE ISCC 2026)
In Press
2026
- Kelesoglu N.; Judging Turn-Taking Through a Monocultural Lens: A Parallel-Corpus Probe of Cultural Bias in LLMs; In Press: ACM International Conference on Multimodal Interaction (ICMI); 2026
- Filus K.; Cruz-Duarte J.; Korpyś M.; Kołodziej A.; Gancarczyk A.; Talbi E.; Domańska J.; Feature- and Similarity-Based Explainability of Experimental Materials Data via Black-Box Hyperparameter Optimization; In Press: Parallel Problem Solving from Nature; 2026
- Filus K.; Cruz-Duarte J.; Target Selection for Adversarial Evaluation of Vision Models Using Language Models; In Press: IEEE International Joint Conference on Neural Networks; 2026
- Kelesoglu N.; Sobczak Ł.; Domańska J.; From Plots to Words: Model-Aware Multimodal Explanations as a Foundation for Accessible, Non-Visual Interaction; In Press: ACM International Conference on Multimodal Interaction (ICMI); 2026
- Sobczak Ł.; Kelesoglu N.; Nowak S.; Risk-Aware Semantic Grounding for Trustworthy LLM-Based Robot Planning; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD); 2026
- Sobczak Ł.; Kelesoglu N.; Domańska J.; Reliability-Aware LLM Reasoning: Handling Uncertainty in Robot Perception; In Press: IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2026); 2026
- Kelesoglu N.; Domańska J.; Sobczak Ł.; Risk-Aware Response Refinement for Safer LLM-Powered Socially Assistive Robots in Elderly Care; In Press: IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2026); 2026
- Halama M.; Połys K.; Nowak S.; Domańska J.; External Semantic Memory as a Cognitive Layer for Large Language Models; In Press: PP-RAI 2026; 2026
- Halama M.; Połys K.; Domańska J.; AI-Assisted Zeolite Design through Retrieval-Augmented Scientific Language Models; In Press: SCIENCE TECHNOLOGY ENGINEERING MATHEMATICS; 2026
- Gelenbe E.; Abdelrahman O.; Signalling Storms and Taylor’s Law; In Press: 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Paris, France
- Gelenbe E.; Ren Q.; Yan Z.; A Probabilistic Dynamic Network Trust Model for IoT Systems with Lost Messages and Cyberattacks; In Press: 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Paris, France
- Kuaban G.; Czachórski T.; Atmaca T.; Czekalski P.; Power models for O-RAN O-DU planning and optimisation; In Press: IEEE Consumer Communications and Networking Conference (CCNC 2026)
- Kuaban G.; Nkemeni V.; Czachórski T.; Czekalski P.; Djomadji E.; Dimensioning the renewable energy system of a Green Cellular Base Station Site; In Press: EAI/Springer Innovations in Communication and Computing
- Jaja M.; Nkemeni V.; Kuaban G.; Acha A.; Nwobodo O.; Djomadji E.; Tsafack P.; Brosselard P.; A Comprehensive Crop Recommendation System Lever- aging Internet of Things and Machine Learning; In Press: EAI/Springer Innovations in Communication and Computing
Published
2026
- Nakip M.; Kelesoglu N.; Mert T.; Güzeliş C.; Self-Supervised Online Learning Algorithm for rTPNN to Reduce False Alarms in Fire Detection; Knowledge-Based Systems; 2026
- Czachórski T.; Queueing Theory and Diffusion Approximation with their Applications; Materials for Lectures at UPES Univerity Dehradun, India; 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