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Position: 

full professor

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Sami Erol Gelenbe (born 22 August 1945) is a Turkish-French computer scientist, electronic engineer and applied mathematician who is professor in Computer-Communications at Imperial College. 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.

Working as a foreigner everywhere, Gelenbe was born in Istanbul in 1945, to Yusuf Ali Gelenbe, a descendant of the 18th-century Ottoman mathematician Gelenbevi Ismail Efendi, and to Maria Sacchet Gelenbe from Cesiomaggiore, Belluno, Italy. After a childhood spent in Istanbul and Alexandria (Egypt), 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. He remained a close friend of Professor Ribbens and of the University of Liège, and in 1979, he moved to the Paris-Sud 11 University, where he co-founded the Laboratoire de Recherche en Informatique and its PhD Program, before joining Paris Descartes University in 1986 to found the Ecole des Hautes Etudes en Informatique.

Gelenbe became New Jersey State Endowed Professor at the New Jersey Institute of Technology from 1991 to 1993, and from 1993 and 1998 he was chaired professor and head of Electrical and Computer Engineering at Duke University. From 1998 to 2003 at the University of Central Florida, he founded the Department (School) of Electrical Engineering and Computer Science and developed the Harris Corporation Engineering Centre. 

In 2003, Gelenbe joined Imperial College London as Dennis Gabor Professor in Computer and Communication Networks and Head of Intelligent Systems and Networks.

In 2016 he joined Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice Poland.
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 72 PhD students, placing him in the Top50 worldwide – all time – PhD supervisors in the mathematical sciences.

Interests: 

Currently works on energy efficient computer systems and self-aware networks, and on network security and on networked auctions. His recent collaborations with biologists include Gene Regulatory Networks and Protein Sequence Alignment.

Publications

https://www.imperial.ac.uk/people/e.gelenbe/publications.html

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Publications

2021

2. Nakıip, M., and E. Gelenbe, "Randomization of Data Generation Times Improves Performance of Predictive IoT Networks", 2021 IEEE World Forum on Internet of Things (WF-IoT), New Orleans, Louisiana, USA, IEEE, 2021.  (936.74 KB)
3. Gelenbe, E., "Renforcer la place des universités européennes dans le concert mondial", Revue des Electriciens et Electroniciens, vol. 2, 2021.  (2.09 MB)
4. Li, N., X. Hu, E. Ngai, and E. Gelenbe, "Cooperative Wireless Edges with Composite Resource Allocation in Hierarchical Networks", 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM): IEEE, 2021.  (343.95 KB)
5. Filus, K., M. Siavvas, J. Domańska, and E. Gelenbe, "The Random Neural Network as a Bonding Model for Software Vulnerability Prediction", Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 102-116, 2021.  (690.95 KB)
6. Filus, K., J. Domańska, and E. Gelenbe, "Random Neural Network for Lightweight Attack Detection in the IoT", Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 79-91, 2021.  (336.06 KB)
7. Filus, K., P. Boryszko, J. Domańska, M. Siavvas, and E. Gelenbe, "Efficient Feature Selection for Static Analysis Vulnerability Prediction", Sensors, vol. 21 (4), issue Special Issue: Security and Privacy in Software Based Critical Contexts, 2021.  (1.37 MB)
8. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Time-Dependent Performance of a Multi-Hop Software Defined Network", Applied Sciences, vol. 11, issue 2469, 03/2021.  (1.25 MB)
10. Gelenbe, E., and M. Siavvas, "Minimizing Energy and Computation in Long-Running Software", Applied Sciences, vol. 11, issue 3, 2021.  (853.84 KB)

2020

11. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Transient Behaviour of a Network Router", 43th International Conference on Telecommunications and Signal Processing, Milano, Italy, IEEE, 2020.  (712.6 KB)
12. Fröhlich, P., and E. Gelenbe, "Optimal fog services placement in SDN IoT network using Random Neural Networks and Cognitive Network Map", The 19th International Conference on Artificial Intelligence and Soft Computing, Zakopane, Springer, 06/2020.  (623.07 KB)
13. Gelenbe, E., P. Fröhlich, M. Nowak, S. Papadopoulos, A. Protogerou, A. Drosou, and D. Tzovaras, "IoT Network Attack Detection and Mitigation", The 9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, June 2020.  (644.89 KB)
15. Gelenbe, E., and M. Pavloski, "Performance of a Security Control Scheme for a Health Data Exchange System", IEEE International Black Sea Conference on Communications and Networking: IEEE, 05/2020.  (342.61 KB)
16. Gelenbe, E., M. Siavvas, P. Boryszko, and J. Domańska, "Optimum checkpoints for time and energy", IEEE MASCOTS 2020, Nice France, IEEEXpress, 10/2020.  (557.59 KB)
17. Baldini, G., P. Fröhlich, E. Gelenbe, J. Luis Hernandez-Ramos, M. Nowak, S. Nowak, S. Papadopoulos, A. Drosou, and D. Tzovaras, "IoT Network Risk Assessment and Mitigation: The SerIoT Approach", Security Risk Management for the Internet of Things: Technologies and Techniques for IoT Security, Privacy and Data Protection, John Soldatos: Now Publishers, pp. 88–104, 2020.  (998 KB)
18. Serrano, W., E. Gelenbe, and Y. Yin, "The Random Neural Network with Deep Learning Clusters in Smart Search", Neurocomputing, vol. 396, 04/2020.  (2.52 MB)
19. Gelenbe, E., J. Domańska, P. Fröhlich, M. Nowak, and S. Nowak, "Self-Aware Networks that Optimize Security, QoS and Energy", Proceedings of the IEEE, vol. 108, issue 7, July 2020.  (5.07 MB)
20. Czachórski, T., E. Gelenbe, G. Kuaban, and D. Marek, "Time Dependent Diffusion Model for Security Driven Software Defined Networks", Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020), CEUR Workshop Proceedings, vol. 2792, Petrozavodsk, Karelia, Russia, CEUR-WS.org, pp. 38-56, 12/2020.  (2.06 MB)
21. Fröhlich, P., E. Gelenbe, and M. Nowak, "Smart SDN Management of Fog Services", Global IoT Summit (GIOTS) 2020, Dublin, Ireland, IEEE, June 2020.  (256.06 KB)
22. Serrano, W., and E. Gelenbe, "Deep Learning Clusters in the Cognitive Packet Network", Neurocomputing, vol. 396, issue 396, 07/2020.  (4.6 MB)
24. Du, J., E. Gelenbe, C. Jiang, Z. Han, and Y. Ren, "Auction-Based Data Transaction in Mobile Networks: Data Allocation Design and Performance Analysis", IEEE Transactions on Mobile Computing, vol. 19, issue 5, 05/2020.  (432.73 KB)
25. Gelenbe, E., and Y. Zhang, "Sharing Energy for Optimal Edge Performance", SOFSEM 2020: Theory and Practice of Computer Science, Chatzigeorgiou A. et al., no. Lecture Notes in Computer Science, vol 12011, Cham, Springer, 2020.  (342.1 KB)

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