dr. inż. Mert Nakip
Wizytówka
dr. inż.
Mert
Nakip
Email
Status
Pracownik instytutu
Stanowisko
Adiunkt
Orcid ID
Publikacje
W druku
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
Opublikowane
2026
- Nakip M.; Macura M.; Performance, Energy Efficiency, and Security of Distributed rTPNN for TinyML-Enabled Smart Homes; 32nd International Conference on Telecommunications (ICT); 2026
- Nakip M.; A predictive neural network architecture for early detection of low-rate cyberattacks; Knowledge-Based Systems; 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
2024
- Nakip M.; Analysis of the QoS Prediction via Recurrent Trend Predictive Neural Network under Low-Rate DoS Attacks; The 10th International Conference on Next Generation Computing; 2024
- Nakip M.; Gelenbe E.; An Associated Random Neural Network Detects Intrusions and Estimates Attack Graphs; 32nd International Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS); 2024
- Nasereddin M.; Nakip M.; Gelenbe E.; Deep Learning Intrusion Detection and Mitigation of DoS Attacks; 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS24); 2024
- Gelenbe E.; Nakip M.; Siavvas M.; System-wide vulnerability of multi-component software; Computers & Industrial Engineering; 2024
- Nakip M.; Gelenbe E.; Online Self-Supervised Deep Learning for Intrusion Detection Systems; IEEE Transactions on Information Forensics and Security; 2024
- Nakip M.; Gül B.; Gelenbe E.; Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection; Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS); 2024
2023
- Nasereddin M.; Nakip M.; Gelenbe E.; Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed; The 48th IEEE Conference on Local Computer Networks; 2023
- Gelenbe E.; Nakip M.; Real-Time Cyberattack Detection with Offline and Online Learning; IEEE International Symposium on Local and Metropolitan Area Networks; 2023
2022
Projekty
Zaawansowane narzędzie utrzymania i diagnostyki aplikacji dla Start-upów IT
Numer projektuFENG.01.01-IP.01-A0GV/24-00Osoba odpowiedzalnaDevelopment of The Novel Scheduling Network and Its Application to Smart Home Energy Management
Numer projektuIITIS/BW/02/25Kierownik projektu