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
- Varol A.; Kołodziej K.; Sobczak Ł.; Romaszewski M.; Głomb P.; Motlagh N.; Leino M.; Virkki J.; Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing; Submitted: IEEE Internet of Things Journal; 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
- Gül B.; Nakip M.; Jazdi N.; Weyrich M.; Energy- and QoS-Gated Federated Learning for Sustainable Wearable Stress Detection; In Press: 35th ACM International Conference on Information and Knowledge Management; 2026
- Nakip M.; Gibała R.; An LLM-Guided Agentic Optimization Toolbox for Edge-Deployable Neural Networks; In Press: 35th ACM International Conference on Information and Knowledge Management; 2026
- Gelenbe E.; Gül B.; Nakip M.; Federated Intrusion Detection for Smart Vehicles; In Press: IEEE International Conference on Intelligent Transportation Systems (ITSC); 2026
- Nakip M.; Gibała R.; Nowak S.; Optimizing Information Retrieval in RAG Systems via Proactive Hyperparameter Selection; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD); 2026
- Nakip M.; Gibała R.; Grygar A.; Nowak S.; Trend-based Multi-Modal Anomaly and Cyber Threat Detection with Traceable Explainability for Cloud Services; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD); 2026
- Gül B.; Nakip M.; Jazdi N.; Weyrich M.; QoS-Aware Federated Learning for Multimodal In-Cabin Interaction in Smart Vehicles; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD); 2026
- Filus K.; Faber K.; Corizzo R.; Kanan C.; Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning; In Press: Neural Information Processing Systems (NeurIPS); 2026
- Filus K.; Nwadiuto O.; Stoeva Z.; Domańska J.; Tchuenbou-Magaia F.; Lightweight Time-Series Representation for Battery State of Health Estimation from Graphene Sensor Data; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases; 2026
- Filus K.; Pokuciński S.; Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases; 2026
- Filus K.; Żarski M.; Inspecting Training Dynamics of Similarity Development in Supervised Vision Networks ; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases; 2026
- Czachórski T.; Grochla K.; Pecka P.; Strzoda A.; Fourneau J.; Mokdad L.; Nycz M.; Nycz T.; The Impact of CSMA on LoRaWAN Communication Efficiency: A Diffusion Approximation Model; In Press: Nineteen International Workshop on Selected Topics in Mobile and Wireless Computing WiMob; 2026
- Sobczak Ł.; Kelesoglu N.; Why the Robot Said No: Knowledge-Graph-Grounded Explanations for LLM-Based Robot Planning; In Press: International Semantic Web Conference (ISWC); 2026
- Kelesoglu N.; Sobczak Ł.; Domańska J.; Knowledge-Graph-Grounded Multimodal Explanations for Trustworthy Time-Series Forecasting in DevOps Systems; In Press: International Semantic Web Conference (ISWC); 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.; 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