Prof. Sami Erol Gelenbe

Email: 

Orcid ID: 

0000-0001-9688-2201

Position: 

full professor
Research groups

Information: 

Sami Erol Gelenbe (born 22 August 1945) is a Turkish-French computer scientist, electronic engineer and applied mathematician who is professor in in the Institute of Theoretical & Applied Informatics, Polish Academy of Sciences (IITIS-PAN) since 2017. Holding a PhD from the Polytechnic Institute of New York University (1970), He has been habilitated for Doctoral Supervision in Poland (Dr Habil) in 2023, and was previously habilitated for Doctoral Supervision in France (Docteur es SCiences Mathematiques, University of Paris VI) in 1973. His previous full professorships include the University of Liege, Belgium (1974-79), University of Paris-Saclay (1979-1986), University of Paris V (1986-1994), Duke University, USA (1993-1998), University of Central Florida (1998-2003), and Imperial College (2004-2020). Known for pioneering the field of modelling and performance evaluation of computer systems and networks throughout Europe, he invented the random neural network and the eponymous G-networks. His many awards include the ACM SIGMETRICS Life-Time Achievement Award, and the in Memoriam Dennis Gabor Award of the Hungarian Academy of Sciences.


He graduated from Ankara Koleji in 1962 and the Middle East Technical University in 1966, winning the K.K. Clarke Research Award for work on “partial flux switching magnetic memory systems”. Awarded a Fulbright Fellowship, he continued his studies at Polytechnic University, where he completed a master's degree and a PhD thesis on “Stochastic automata with structural restrictions”, under the supervision of Edward J. Smith. After graduation he joined the University of Michigan as an assistant professor. In 1972, and then on leave from Michigan, he founded the Modeling and Performance Evaluation of Computer Systems research group at INRIA (France), and was a visiting lecturer at the University of Paris 13 University. In 1971 he was elected to the second chair in Computer Science at the University of Liège, where he joined Professor Danny Ribbens in 1973, while remaining a research director at INRIA. In 1973, he was awarded a Doctorat d'État ès Sciences Mathématiques from the Paris VI University with a thesis on "Modèlisation des systèmes informatiques", under Jacques-Louis Lions.


Notable contributions: Gelenbe has contributed pioneering research concerning the performance of multiprogramming computer systems, virtual memory management, data base reliability optimisation, distributed systems and network protocols. He formed, led, and trained the team that designed the commercial QNAP Computer and Network Performance Modeling Tool. He introduced the Flexsim Object Oriented approach for the simulation in manufacturing systems. He carried out some of the first work on adaptive control of computer systems, and published seminal papers on the performance optimisation of computer network protocols and on the use of diffusion approximations for network performance. He developed new product form queueing networks with negative customers and triggers known as G-networks. He also introduced a new spiked stochastic neural network model known as the random neural network, developed its mathematical solution and learning algorithms, and applied it to both engineering and biological problems. His inventions include the design of the first random access fibre-optics local area network, a patented admission control technique for ATM networks, a neural network based anomaly detector for brain magnetic resonance scans, and the cognitive packet network routing protocol to offer quality of service to users. From 1984 to 1986 he served as the Science and Technology Advisor to the French Secretary of State for Universities. He founded the ISCIS (International Symposium on Computer and Information Sciences) series of conferences that since 1986 are held annually in Turkey, the USA and Europe to bring together Turkish computer scientists with their international counterparts. According to the Mathematics Genealogy project, Gelenbe has graduated over 90 PhD students, placing him in the Top 25 worldwide – all time – PhD supervisors in the mathematical sciences. https://www.mathgenealogy.org/id.php?id=103790

Interests: 

Currently he works on energy efficient computer systems and on network security and on networked auctions.

Horizontal Tabs

Publications
Biblio RSS

Submitted

1. Gelenbe, E., and M. Nakip, "Associated Random Neural Networks for Collective Classification of Nodes in Botnet Attacks", arXiv, Submitted.  (1.86 MB)

In Press

2. Kuaban, G. Suila, T. Czachórski, E. Gelenbe, P. Pecka, V. Nkemeni, and P. Czekalski, Impact of energy leakage on the energy performance of green IoT nodes, Krakow, Poland, IEEE, In Press.
3. Nasereddin, M., and E. Gelenbe, An Examination of IoT Network Layers Security, In Press.

2024

4. Bergquist, J., E. Gelenbe, and K. Sigman, "On an Adaptive-Quasi-Deterministic Transmission Policy Queueing Model", 32nd IEEE MASCOTS'24 Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, October 21-23, 2024, Krakow Poland: IEEEXplore, 2024.  (216.64 KB)
5. Zhou, G., Y. Liu, Z. Yan, and E. Gelenbe, "Is ChatGPT Trustworthy Enough? A Review", IEEE Consumer Electronics Magazine , 2024.  (177.25 KB)
6. Kuaban, G. Suila, T. Czachórski, E. Gelenbe, P. Pecka, S. Sharma, P. Singh, V. Nkemeni, and P. Czekalski, "Energy performance of self-powered Green IoT nodes", Frontiers in Energy Research, 2024.
7. Nasereddin, M., M. Nakip, and E. Gelenbe, "Deep Learning Intrusion Detection and Mitigation of DoS Attacks", 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS24), Krakow, Poland, IEEE, 2024.  (2.84 MB)
8. Gelenbe, E., M. Nakip, and M. Siavvas, "System Wide Vulnerability and Trust in Multi-Component Communication System Software", IEEE Network, 2024.  (3.98 MB)
9. Gelenbe, E., B. Can Gül, and 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, vol. 28, 12/2024.  (2.17 MB)
10. Gelenbe, E., M. Nakip, and M. Siavvas, "System-wide vulnerability of multi-component software", Computers & Industrial Engineering, vol. 196, 10/2024.
11. Siavvas, M., D. Tsoukalas, C. Marantos, L. Papadopoulos, C. Lamprakos, O. Matei, C. Strydis, M. Ali Siddiqi, P. Chrobocinski, K. Filus, et al., "SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software", Automated Software Engineering, 2024.
12. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, P. Czekalski, and V. Nkemeni, "Energy Performance of Off-Grid Green Cellular Base Stations", Performance Evaluation, 2024.
13. Kuaban, G. Suila, T. Czachórski, E. Gelenbe, P. Pecka, V. Nkemeni, and P. Czekalski, "Energy performance of Internet of Things (IoT) networks for pipeline monitoring", The 20th International Wireless Communications & Mobile Computing Conference: IEEE, 2024.
14. Kuaban, G. Suila, T. Czachórski, E. Gelenbe, S. Sharma, and P. Czekalski, "A Markov model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption", Proceeding of the 2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES): IEEE, 2024.
15. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, and P. Czekalski, "Modelling the Energy Performance of Off-Grid Sustainable Green Cellular Base Stations", 31st International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2023): IEEE, 2024.  (463.53 KB)
16. Nakip, M., and E. Gelenbe, "Online Self-Supervised Deep Learning for Intrusion Detection Systems", IEEE Transactions on Information Forensics and Security, vol. 19, 05/2024 .  (6.97 MB)
17. Nakip, M., B. Can Gül, and E. Gelenbe, "Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection", Modeling, Analysis, and Simulation On Computer and Telecommunication Systems (MASCOTS): IEEE, 2024.  (1.06 MB)

2023

18. Kuaban, G. Suila, E. Gelenbe, T. Czachórski, P. Czekalski, and J. Kewir Tangka, "Modelling of the Energy Depletion Process and Battery Depletion Attacks for Battery-Powered Internet of Things (IoT) Devices", sensors, vol. 23, issue 6183, 07/2023.
19. Czachórski, T., E. Gelenbe, and G. Suila Kuaban, "Modelling energy changes in the energy harvesting battery of an IoT device", 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2022) pp. 81-88, Nice, France, IEEE Xplore, 03/2023.  (1.35 MB)
20. Gelenbe, E., and M. Nakip, "Real-Time Cyberattack Detection with Offline and Online Learning", IEEE International Symposium on Local and Metropolitan Area Networks, London, United Kingdom, IEEE, 2023.  (1.09 MB)
21. Nasereddin, M., M. Nakip, and E. Gelenbe, "Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed", The 48th IEEE Conference on Local Computer Networks, Daytona Beach, Florida, USA, IEEE, 2023.  (861.42 KB)
22. Gelenbe, E., and M. Nakip, "IoT Network Cybersecurity Assessment with the Associated Random Neural Network", IEEE Access, 2023.  (966.17 KB)
23. Gelenbe, E., "Electricity Consumption by ICT: Facts, trends, and measurements", ACM Ubiquity, vol. 2023, issue August, 08/2023.  (3.4 MB)
24. Gelenbe, E., 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 in Computing and Communications (TrustCom-2023), Exeter, UK, IEEE, 2023.  (1.4 MB)

2022

25. Gelenbe, E., and M. Nakip, "G-Networks Can Detect Different Types of Cyberattacks", 2022 Mascots: 30th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems, Nice, France, IEEE, 2022.  (1.51 MB)

Pages

Historia zmian

Data aktualizacji: 27/12/2023 - 15:27; autor zmian: Krzysztof Grochla (kil@iitis.pl)

Sami Erol Gelenbe (born 22 August 1945) is a Turkish-French computer scientist, electronic engineer and applied mathematician who is professor in in the Institute of Theoretical & Applied Informatics, Polish Academy of Sciences (IITIS-PAN) since 2017. Holding a PhD from the Polytechnic Institute of New York University (1970), He has been habilitated for Doctoral Supervision in Poland (Dr Habil) in 2023, and was previously habilitated for Doctoral Supervision in France (Docteur es SCiences Mathematiques, University of Paris VI) in 1973. His previous full professorships include the University of Liege, Belgium (1974-79), University of Paris-Saclay (1979-1986), University of Paris V (1986-1994), Duke University, USA (1993-1998), University of Central Florida (1998-2003), and Imperial College (2004-2020). Known for pioneering the field of modelling and performance evaluation of computer systems and networks throughout Europe, he invented the random neural network and the eponymous G-networks. His many awards include the ACM SIGMETRICS Life-Time Achievement Award, and the in Memoriam Dennis Gabor Award of the Hungarian Academy of Sciences.


He graduated from Ankara Koleji in 1962 and the Middle East Technical University in 1966, winning the K.K. Clarke Research Award for work on “partial flux switching magnetic memory systems”. Awarded a Fulbright Fellowship, he continued his studies at Polytechnic University, where he completed a master's degree and a PhD thesis on “Stochastic automata with structural restrictions”, under the supervision of Edward J. Smith. After graduation he joined the University of Michigan as an assistant professor. In 1972, and then on leave from Michigan, he founded the Modeling and Performance Evaluation of Computer Systems research group at INRIA (France), and was a visiting lecturer at the University of Paris 13 University. In 1971 he was elected to the second chair in Computer Science at the University of Liège, where he joined Professor Danny Ribbens in 1973, while remaining a research director at INRIA. In 1973, he was awarded a Doctorat d'État ès Sciences Mathématiques from the Paris VI University with a thesis on "Modèlisation des systèmes informatiques", under Jacques-Louis Lions.


Notable contributions: Gelenbe has contributed pioneering research concerning the performance of multiprogramming computer systems, virtual memory management, data base reliability optimisation, distributed systems and network protocols. He formed, led, and trained the team that designed the commercial QNAP Computer and Network Performance Modeling Tool. He introduced the Flexsim Object Oriented approach for the simulation in manufacturing systems. He carried out some of the first work on adaptive control of computer systems, and published seminal papers on the performance optimisation of computer network protocols and on the use of diffusion approximations for network performance. He developed new product form queueing networks with negative customers and triggers known as G-networks. He also introduced a new spiked stochastic neural network model known as the random neural network, developed its mathematical solution and learning algorithms, and applied it to both engineering and biological problems. His inventions include the design of the first random access fibre-optics local area network, a patented admission control technique for ATM networks, a neural network based anomaly detector for brain magnetic resonance scans, and the cognitive packet network routing protocol to offer quality of service to users. From 1984 to 1986 he served as the Science and Technology Advisor to the French Secretary of State for Universities. He founded the ISCIS (International Symposium on Computer and Information Sciences) series of conferences that since 1986 are held annually in Turkey, the USA and Europe to bring together Turkish computer scientists with their international counterparts. According to the Mathematics Genealogy project, Gelenbe has graduated over 90 PhD students, placing him in the Top 25 worldwide – all time – PhD supervisors in the mathematical sciences. https://www.mathgenealogy.org/id.php?id=103790