full professor


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.


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.


Horizontal Tabs




3. Staffa, M., L. Sgaglione, G. Mazzeo, L. Coppolino, S. D'Antonio, L. Romano, and E. Gelenbe, "An OpenNCP-based Solution for Secure eHealth Data Exchange", JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 116, pp. 65-85, 08/2018.
4. Kadioglu, Y. Murat, and E. Gelenbe, "Product-Form Solution for Cascade Networks With Intermittent Energy", IEEE Systems Journal, vol. PP, issue 99, pp. 1-10, 08/2018.
5. Gelenbe, E., and Y. Murat Kadioglu, "Energy life-time of wireless nodes with network attacks and mitigation", 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018; Kansas City; United States, Kansas City, MO, USA , IEEE, 07/2018.
6. Brun, O., Y. Yin, and E. Gelenbe, "Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments", The 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops, Gran Canaria, Spain , Elsevier, 07/2018.
7. Domańska, J., E. Gelenbe, T. Czachórski, A. Drosou, and D. Tzovaras, "Research and innovation action for the security of the internet of things: The SerIoT project", Communications in Computer and Information Science, vol. 821, London, United Kingdom, Springer, pp. 101-118, 2018.
8. Brun, O., Y. Yin, E. Gelenbe, M. Y. Kadioglu, J. Augusto-Gonzalez, and M. Ramos, "Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
9. Staffa, M., L. Coppolino, L. Sgaglione, E. Gelenbe, I. Komnios, E. Grivas, O. Stan, and L. Castaldo, "KONFIDO: An OpenNCP-Based Secure eHealth Data Exchange System", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
10. Siavvas, M., E. Gelenbe, D. Kehagias, and D. Tzovaras, "Static Analysis-Based Approaches for Secure Software Development", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
11. Czachórski, T., E. Gelenbe, M. Nowak, S. Nowak, J. Domańska, and al.. et, "IoT European Security and Privacy Projects: Integration, Architectures and Interoperability", Next Generation Internet of Things. Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation: River Publishers, pp. 207-292, 2018.
12. Gelenbe, E., J. Domańska, T. Czachórski, A. Drosou, and D. Tzovaras, "Security for Internet of Things: The SerIoT Project", 2018 International Symposium on Networks, Computers and Communications (ISNCC), Rome, Italy, IEEE, 2018.
14. Wang, L.., and E. Gelenbe, "Adaptive Dispatching of Tasks in the Cloud", IEEE Transactions on Cloud Computing , vol. 6, issue 1, pp. 33-45 , 03/2018.


15. Serrano, W.., and E. Gelenbe, "The Deep Learning Random Neural Network with a Management Cluster", 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), Vilamoura, Portugal, Springer, Cham, 2017.
16. Du, J., E. Gelenbe, C. Jiang, H. Zhang, Z. Han, and Y. Ren, "Data Transaction Modeling in Mobile Networks: Contract Mechanism and Performance Analysis", GLOBECOM 2017 - 2017 IEEE Global Communications Conference , Singapore, Singapore , IEEE, 01/2018, 2017.
17. Du, J.., E. Gelenbe, C.. Jiang, H.. Zhang, and Y.. Ren, "Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks", IEEE Journal on Selected Areas in Communications, vol. 35, pp. 2457-2467, Nov, 2017.
18. Yin, Y.., and E. Gelenbe, "Single-cell based random neural network for deep learning", 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, United States, May 14-19 2017., vol. 2017, Anchorage, United States, IEEE, pp. 86-93, 05/2017.
19. Yin, Y.., L.. Wang, and E. Gelenbe, "Multi-layer neural networks for quality of service oriented server-state classification in cloud servers", 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, United States, May 14-19 2017., vol. 2017, Anchorage, United States, IEEE, pp. 1623-1627, 05/2017.
20. H. Jiang, L. F. W., RK.. Thulasiram, and E. Gelenbe, "Special Issue on Green Pervasive and Ubiquitous Systems", IEEE Systems Journal, vol. 11, issue 2, pp. 806-812, 06/2017.
21. Kadioglu, Y.M.., and E. Gelenbe, "Wireless sensor with data and Energy Packets", 2017 IEEE International Conference on Communications Workshops (ICC Workshops 2017), Paris, France, IEEE, 2017.
22. Pankratova, E.., M.. Farkhadov, and E. Gelenbe, "Research of Heterogeneous Queueing System SM|M(n)|∞", Communications in Computer and Information Science 16th International Conference, ITMM 2017, Kazan, Russian Federation, Springer, 2017.
23. Fourneau, J., and E. Gelenbe, "G-networks with Adders", Future Internet, vol. 9, issue 3, pp. 1-7, 07/2017.
24. Serrano, W.., and E. Gelenbe, "Intelligent search with deep learning clusters", Intelligent Systems Conference (IntelliSys) 2017, London, UK , IEEE , 03/2018, 2017.
25. Gelenbe, E., and Y. Yin, "Deep Learning with Dense Random Neural Networks", International Conference on Man–Machine Interactions, Kraków, Poland, Springer, Cham, 09/2017.