Biography
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Visiting Professor Erol Gelenbe, PhD (New York University), DSc (Sorbonne Université), FIEEE FACM FRSS FIET FAAIA FRSA, is a Professor in the Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences. His research is supported by EU Horizon and Marie Curie grants. He has graduated over 90 PhDs and won many grants from EPSRC, UKRI, EU, MoD (UK), and DARPA, NSF, ARO, ONR in the USA. Elected to Academia Europaea and current Chair of its Informatics Section, a Fellow of the French National Academy of Technologies and the Turkish Science Academy, he is a Foreign Fellow of the Royal Academy of Sciences, Arts and Letters of Belgium, the Polish Academy of Sciences, the Indian National Science Academy, and Hon. Fellow of the Hungarian Academy of Sciences and the Academy of Sciences of the Islamic World. He received Honorary Doctorates (Honoris Causa) from the University of Roma II (Italy), the University of Liège (Belgium), Bogaziçi University (Istanbul), and the Hungarian Academy of Sciences. France awarded him the honours of Chevalier de la Légion d’Honneur, Commandeur de l’Ordre National du Mérite and Chevalier des Palmes Académiques. Belgium awarded him Commandeur de l’Ordre de la Couronne. Italy awarded him Commendatore dell’Ordine al Merito and Grande Ufficiale dell’Ordine della Stella d’Italia, and Poland awarded him Officer of the Order of Merit of Poland. |
Research Interests
Machine Learning
Performance and Optimization of Computer Systems and Networks
Cybersecurity with Cyberattack Detection and Mitigation
Sustainability of Computation and Communication
Further Information
Publications
Recent Best Paper Awards:
E. Gelenbe and M. Nasereddin, “Protecting IoT Servers Against Flood Attacks with the Quasi Deterministic Transmission Policy,” The 22nd IEEE International Conference on Trust, Security and Privacy, November 2-4, 2023, Exeter UK.
G. S. Kuaban, E. Gelenbe, T. Czachorski, P. Czekalski, “Modelling the Energy Performance of Off-Grid Sustainable Green Cellular Base Stations (Best Paper Award MASCOTS 2023),” IEEE MASCOTS’23: 31st Intern’l. Symp. Mod., Analyisis & Sim. of Comp. & Telecomm. Systems, Oct. 16-18, 2023, Stony Brook, USA.
G. S. Kuaban, T. Czachorski, E. Gelenbe, V. Nkemeni, P. Pecka, P. Czekalski, “Impact of Energy Leakage on the Energy Performance of Green IoTNodes,” IEEE MASCOTS’24: 32nd Intern’l. Symp. on Modelling, Analysis & Sim. of Comp. & Telecomm. Systems, Oct. 21-23, 2024, Krakow, Poland.
Y Tang, Y Liu, Z Yan, and E Gelenbe, “Security of LLM-based Agents Regarding Attacks, Defenses, and Applications: A Comprehensive Survey,” Information Fusion, Part C 127 (103941), 2026
E. Gelenbe, M. Nasereddin “Adaptive Attack Mitigation for IoV Flood Attacks,” IEEE Internet of Things Journal 12 (5), 4701-4714, 2025, doi: 10.1109/JIOT.2025.3529615.
E Gelenbe, M Nakip, M Siavvas, “System-Wide Vulnerability and Trust in Multi-Component Communication System Software,” IEEE Network, 39 (2): 108-114, 2025.
T. Luo, J. Wang, Y. Zhen, E. Gelenbe, “Graph Neural Networks for Trust Evaluation: Criteria, State-of-the-Art, and Future Directions”, IEEE Network, 39,(4):37-46, 2025, DOI: 10.1109/MNET.2025.3551068
E Gelenbe, Q Ren, and Z Yan, “A Probabilistic Dynamic Network Trust Model for IoT Systems with Lost Messages and Cyberattacks,” IEEE Computer Society MASCOTS 2025, pp. 1-8, 2025.
E Gelenbe, M Nasereddin, “Data Driven Optimum Cyberattack Mitigation,” IEEE DSAA’25: Data Science & Advanced Analytics Conference, Birmingham, UK, 1-8, 2025
Z. Guoliang, L. Yijia, Y. Zheng, E. Gelenbe, “Is ChatGPT Trustworthy Enough? A Review,” IEEE Consumer Electronics Mag. 34 (5), 28-39 (10.1109/MCE.2024.3485257), 2025.
Z. Li, J. Lan, Z. Yan and E. Gelenbe, “Backdoor attacks and defense mechanisms in federated learning: A sur- vey”, Information Fusion, 123, pp. 103248, 2025, ISSN 1566-2535, https://doi.org/10.1016/j.inffus.2025.103248
Z. Zhang, H. Han, Z. Yan and E. Gelenbe, ”A Survey on Cross-Shard Transaction Allocation Optimization and Processing Mechanisms,” IEEE Comms. Surveys & Tutorials, doi: 10.1109/COMST.2025.3580442
G Kuaban, T Czachorski, E Gelenbe, P Czekalski, “Time-dependent analysis of the interaction between energy harvesting, leakage and consumption processes in a Green IoT Device,” IEEE Access 13, 86120-86132, 2025.
E. Gelenbe, “Minimizing Delay and Power Consumption at the Edge,” Sensors vol. 2025 (2), pp. 502, 2025
J Bergquist, E Gelenbe, M Nasereddin, K Sigman, “Mitigating massive access with Quasi-Deterministic Transmission: Experiments and stationary analysis,” Performance Evaluation 170 (2025), 102512.
M. Nakip, E. Gelenbe “Online Self-Supervised Deep Learning for Intrusion Detection Systems”’ IEEE Trans. on Inf. Forensics and Security vol. 19, pp. 5668-5683, 2024.
M. Yang, E. C. H. Ngai, X. Hu, B. Hu, J. Liu, E. Gelenbe, V. C. M. Leung, “Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection,” Proceedings of the IEEE, doi: 10.1109/JPROC.2025.3542324
Yuting Ma, Erol Gelenbe and Kezhong Liu, ”Impact of IoT System Imperfections and Passenger Errors on Cruise Ship Evacuation Delay,” Sensors 24 (6), 1850, 2024.
G. S. Kuaban, T. Czachorski, E. Gelenbe, P. Pecka, “Energy Performance of Self-powered Green IoT Nodes,” Frontiers, Energy Res., Sec. Solar Energy, 12 (1399371), 2024.
E. Gelenbe, B.C. Gul, M. Nakip “DISFIDA: Distributed Self-Supervised Federated Intrusion Detection Algorithm with Online Learning for Health Internet of Things and Internet of Vehicles,” Internet of Things, 28 (101340), 2024. DOI: 10.1016/j.iot.2024.10134
E. Gelenbe, M. Nakip, M. Siavvas “System Wide Vulnerability and Trust of Multicomponent Software,” Computers & Industrial Engineering 196 (110453), 2024.