Erol Gelenbe

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Erol Gelenbe
Erol Gelenbe Imperial College 2010 graduations.jpg
Born (1945-08-22) 22 August 1945 (age 76)[1]
Alma materMiddle East Technical University
New York University Tandon School of Engineering
Sorbonne Université (UPMC)
Known forG-networks
Random neural network
AwardsIEEE Fellow ACM Fellow Chevalier de la Legion d'Honneur Commandeur de l'Ordre National du Merite Commendatore al Merito della Repubblica d'Italia Grande Ufficiale de l'Ordine della Stella d'Italia Grand Prix France Telecom ACM SIGMETRICS Award Mustafa Prize
Scientific career
FieldsComputer science
Electrical engineering
Applied mathematics
InstitutionsUniversity of Liège
Paris-Sud 11 University
New Jersey Institute of Technology
Duke University
University of Central Florida
Imperial College
IITIS Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
ThesisStochastic automata with structural restrictions (1970)
Doctoral advisorEdward J. Smith
Jacques-Louis Lions
InfluencesJacques-Louis Lions
Michael O. Rabin
Peter Whittle

Sami Erol Gelenbe (born 22 August 1945) is a French computer scientist, electronic engineer and applied mathematician who was born in Turkey. Involved in many research projects of the European Union, he is a Professor in the Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences (2017-), Honorary Professor of University of Electronic Science and Technology of China, and researcher of the I3S CNRS Laboratory of the University of Côte d'Azur (Nice), and the CNRS Abraham de Moivre Laboratory, Imperial College (London). Previously, he was Chaired professor at University of Liege (1974-1979), University Paris-Sud (1979-1986), University Paris Descartes (1986-2005), Duke University (1993-1998), the University of Central Florida (1998-2003) and Dennis Gabor Professor at Imperial College (2003-2019). He also served as a Visiting Professor at Columbia University (1986). 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. He has served as a consultant to various companies including Thomson-CSF, IBM, BT, France Telecom, Huawei, and General Dynamics UK Ltd. His awards include the Parlar Foundation Science Award (1994), the Grand Prix France Telecom (1996) of the French Academy of Sciences, the ACM SIGMETRICS[3] Life-Time Achievement Award, the Oliver Lodge Medal of the UK's Institution of Engineering and Technology (2010), the "In Memoriam Dennis Gabor Award" (2013) [4] of the Hungarian Academy of Sciences, and the Mustafa Prize (2017).[5]


Erol Gelenbe is a Fellow of the IEEE, ACM, the Royal Statistical Society, IFIP and IET (London). The Mathematics Genealogy Project indicates that he graduated 95 PhDs.[6] He was awarded Honoris Causa Doctorates by the University of Rome II, Bogazici University (Istanbul), and the University of Liège, Belgium. He was elected a Fellow of the Académie des Technologies (France), the Royal Academy of Sciences, Arts and Letters of Belgium, the Science Academy of Turkey, the Science Academies of Hungary and Poland, and Academia Europaea. Born in Istanbul in 1945, to Yusuf Âli Gelenbe, a descendant of the 18th-century Ottoman mathematician Gelenbevî Ismail Efendi, and Maria Sacchet Gelenbe, after his childhood in Istanbul and Alexandria (Egypt), Erol graduated from Ankara Koleji in 1962 and the Middle East Technical University, Ankara in 1966, where he won the K.K. Clarke Research Award for his undergraduate thesis on "partial flux switching magnetic memory systems".[7] Awarded a Fulbright Fellowship, he continued his studies at Polytechnic University, completing a Master's degree and then a PhD thesis on "Stochastic automata with structural restrictions", under the supervision of Edward J. Smith.[8]

After graduation he joined the University of Michigan as an assistant professor. In 1972, on leave from Michigan, he founded the Modeling and Performance Evaluation of Computer Systems research group at INRIA (France), and was a visiting associate professor at the University of Paris 13 University. In 1971 he was elected to a Chair in Computer Science at the University of Liège in Belgium, 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 was appointed New Jersey State Endowed Chair Professor at the New Jersey Institute of Technology from 1991 to 1993, and then in 1993 he was appointed to Duke University where he was the Nello L. Teer Chair Professor and Head of the Electrical and Computer Engineering Department until 1998 when he moved to the University of Central Florida, and founded the School of Electrical Engineering and Computer Science[9] and created the Harris Corporation Engineering Centre [10]

In 2003, Gelenbe was offered a Chair at Imperial College London and appointed the Dennis Gabor Professor in Computer and Communication Networks[11][12] and Head of Intelligent Systems and Networks. Following the UK Brexit vote in 2016, in 2017 he was appointed Professor in the Institute of Theoretical and Applied Informatics (IITIS) [13] of the Polish Academy of Sciences where he had been elected Fellow in 2013.[14], and Researcher in the Laboratoire I3S of the University of Nice. He retired from Imperial College in 2019.

Since 2019 he pursues active research as Professor at the Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences, and Coordinator (Principal Investigator) of the EU H2020 Research and Innovation Project SerIoT (2017-2021) on the security of the Internet of Things, Co-Principal Investigator (Co-PI) of the EU H2020 Research and Innovation Programmes SDK4ED (2018-2020) and Co-PI of the H2020 IoTAC Research and Innovation Project (2020-2023). His research appears in leading international journals and conferences. He is Co-Editor in Chief of Springer-Nature Computer Science. He is active in the European National Academies as Section Member for Informatics of Academia Europaea (since 2017), SAPEA Advisor on Cybersecurity for the EU High Level Group (2017), Member of the Fake-News Study Group of the All-European Academies (ALLEA, 2020-2021), leading the Science Communication (Diffusion des Sciences) Study Group 2020-21) of the Royal Belgian Academy of Sciences and of the Association of European Academies of Applied Sciences and Engineering (2021).

Notable contributions[edit]

Gelenbe invented the Random neural network (RNN) model and its polynomial-time learning algorithm. He invented Cognitive Packet Networks and their Reinforcement Learning algorithm based on RNNs. He invented the eponymous G-network, a mathematical model of the performance of distributed systems and networks with complex node to node interactions, used to analyze dynamic resource allocation in interconnected systems, and diffusion approximations for computer system performance. He pioneered 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 simulation in manufacturing systems leading to a widely used FLEXSIM commercial product. He published the first work on adaptive control of computer systems to optimise time-sharing systems, and published seminal papers on the performance optimisation of computer network protocols and on diffusion approximations for network performance. He invented the product form queueing networks with negative customers and triggers known as G-networks.[15] He 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 first Voice-Packet Switch SYCOMORE for Thales, the random access fibre-optics local area network XANTHOS, 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.[16][17]

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 are held annually in Turkey, the USA and Europe.[18] According to the Mathematics Genealogy project, Gelenbe is ranked 9th world-wide among PhD supervisors in the Mathematical Sciences, including Computer Science, having graduated 95 PhD students.[19] 24 of his former PhD students are women, including Prof. Catherine Rosenberg, Fellow of the Royal Academy of Engineering of Canada, and Prof. Brigitte Plateau, the former Director General of Higher Education in France.[20]

Latest research interests[edit]

Gelenbe pursues research on Machine Learning and Neural Networks [21] and Cybersecurity [22] He also currently [23] works on energy efficient computer systems, self-aware networks, and networked auctions. His collaborations with biologists include Gene Regulatory Networks and Protein Sequence Alignment.[24]




Selected bibliography[edit]

  • E. Gelenbe "On languages defined by linear probabilistic automata", Information and Control, 16(5):487–501, July 1970.
  • E. Gelenbe "A realizable model for stochastic sequential machines", IEEE Trans. Comput. 20, 199–204 (1971).
  • E. Gelenbe "On approximate computer system models", Journal of the ACM 22(2):261–269 (April 1975).
  • E. Gelenbe and I. Mitrani "Analysis and synthesis of computer systems", Academic Press (June 1980), 239 pp., ISBN 0-12-279350-1, ISBN 978-0-12-279350-9.
  • E. Gelenbe "On the optimum checkpoint interval", Journal of the ACM, 26(2):259–270, April 1979.
  • E. Gelenbe "Product-Form queueing networks with negative and positive customers", Journal of Applied Probability, Vol. 28 (3): 656–663 (Sep. 1991).
  • E. Gelenbe, Mao, Z.H., Li, Y.D. "Function approximation with spiked random networks,", IEEE Trans. on Neural Networks, 10 (1): 3–9, 1999.
  • E. Gelenbe and G. Pujolle "Introduction to Queueing Networks", John Wiley & Sons, Inc. New York City, 1987 and 2000.
  • E. Gelenbe, R. Lent and Z. Xu "Design and performance of a cognitive packet network", Performance Evaluation, 46, (2–3): 155–176, October 2001.
  • E. Gelenbe and Hussain K.F. "Learning in the multiple class random neural network, " IEEE Transactions on Neural Networks, 13(6): 1257–1267, 2002.
  • E. Gelenbe, Gellman, R. M. Lent, P. Liu and Pu Su "Autonomous smart routing for network QoS", Proc. International Conference on Autonomic Computing: 232–239, ISBN 0-7695-2114-2, 17–18 May 2004.
  • J.-M. Fourneau and E. Gelenbe "Flow equivalence and stochastic equivalence in G-networks",Computational Management Science, 1 (2): 179–192, 2004.doi:10.1007/s10287-003-0008-z,
  • E. Gelenbe "Steady-state solution of probabilistic gene regulatory networks", Physical Review E, 76(1), 031903 (2007).
  • E. Gelenbe "A Diffusion Model for Packet Travel Time in a Random Multi-Hop Medium", ACM Trans. on Sensor Networks, 3 (2), Article 10, June 2007.
  • E. Gelenbe "Dealing with software viruses: a biological paradigm", Information Security Technical Reports 12: 242–250, Elsevier Science, 2007.
  • E. Gelenbe, G. Sakellari and M. d'Arienzo "Admission of QoS aware users in a smart network", ACM Trans. on Autonomous and Adaptive Systems, 3(1), TAAS-07-0003, 2008.
  • E. Gelenbe "Network of interacting synthetic molecules in equilibrium" Proc. Royal Society A 464:2219–2228, 2008.
  • E. Gelenbe and I. Mitrani "Analysis and Synthesis of Computer Systems" World Scientific, Imperial College Press, Singapore and London, 2009.
  • E. Gelenbe "Analysis of single and networked auctions", ACM Trans. on Internet Technology, 9 (2), 2009.
  • E. Gelenbe "Steps toward self-aware networks", Communications ACM, 52 (7):66–75, July 2009.
  • A. Berl, E. Gelenbe, M. Di Girolamo, G. Giuliani, H. De Meer, M. Quan Dang, and K. Pentikousis "Energy-efficient cloud computing", Comp. J. 53 (7): 1045–1051, 2010.
  • E. Gelenbe "Search in unknown random environments", Phys. Rev. E 82: 061112, 2010.
  • E. Gelenbe and C. Morfopoulou "A framework for energy aware routing in packet networks", Comp. J., doi:10.1093/comjnl/bxq092, 2011.
  • O. H. Abdelrahman and E. Gelenbe. "Time and energy in team-based search", Phys. Rev. E, 87(3):032125, March 2013.
  • Y. M. Kadioglu and E. Gelenbe. "Product-form solution for cascade networks with intermittent energy," IEEE Systems Journal 13 (1): 918–927 (2018)
  • E. Gelenbe, P Campegiani, T Czachórski, SK Katsikas, I Komnios, et. al. "Security in Computer and Information Sciences: First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, London, UK, February 26–27, 2018, Revised Selected Papers", Lecture Notes, Vol. CCIS 821, Springer, Berlin (2018)
  • E. Gelenbe and O. H. Abdelrahman. "An Energy Packet Network model for mobile networks with energy harvesting," Nonlinear Theory and Its Applications, IEICE (2018) doi:10.1587/nolta.9.322
  • E. Gelenbe and Y. M. Kadioglu. "Energy life-time of wireless nodes with network attacks and mitigation," 2018 ICC: IEEE International Conf. on Comms. Workshops (ICC), IEEEXpress, (2018)
  • W. Serrano and E. Gelenbe. "The Random Neural Network in a neurocomputing application for Web search," Neurocomputing 280: 123–132 (2018)
  • M. G. Siavvas and E. Gelenbe. "Optimum checkpoints for programs with loops," Simul. Model. Pract. Theory 97: 101951 (2019)
  • Y. M. Kadioglu and Gelenbe. "Product-Form Solution for Cascade Networks With Intermittent Energy," IEEE Systems Journal 13(1): 918-927 (2019)
  • E. Gelenbe and Y. Zhang. "Performance Optimization With Energy Packets," IEEE Systems Journal 13(4): 3770-3780 (2019)
  • J. Du, E. Gelenbe, C. Jiang, H. Zhang, Y. Ren and H. V. Poor. "Peer Prediction-Based Trustworthiness Evaluation and Trustworthy Service Rating in Social Networks," IEEE Trans. Information Forensics and Security 14(6): 1582-1594 (2019)
  • E. Gelenbe, J. Domanska, P. Frohlich, M. Nowak and S. Nowak. "Self-Aware Networks That Optimize Security, QoS, and Energy," Proceedings of the IEEE 108 (7): 1150-1167 (2020) doi:10.1109/JPROC.2020.2992559
  • E. Gelenbe. "Introduction to the Special Issue on the French–Polish Collaboration in Mathematical Models of Computer Systems, Networks and Bioinformatics," SN Computer Science 1 (1) (2020) doi:10.1007/s42979-019-0044-6
  • P. Frohlich, E. Gelenbe and M. P. Nowak. "Smart SDN Management of Fog Services," In GIOTS 2020: Global IoT Summit 2020, IEEE Communications Society, 1–5 June 2020, Dublin, Ireland, 1-6 {{doi: 10.1109/GIOTS49054.2020.9119542}}
  • W. Serrano, E. Gelenbe and Y. Yin. "The Random Neural Network with Deep Learning Clusters in Smart Search," Neurocomputing 396: 394-405 (2020)
  • E. Gelenbe and M. Siavvas. "Minimizing energy and computation in long running software," Applied Science 11: 1169 (2021)
  • D. Kehagias, M. Jankovic, M. Siavvas and E. Gelenbe. "Investigating the Interaction between Energy Consumption, Quality of Service, Reliability, Security, and Maintainability of Computer Systems and Networks," SN Computer Science, 2 (1): 1-6 (2021)
  • K. Filus, P. Boryszko, J. Domańska, M. Siavvas and E. Gelenbe. "Efficient Feature Selection for Static Analysis Vulnerability Prediction." Sensors, accepted (ISSN 1424-8220) (2021)


  1. ^ a b Gaster, Adrian (1977). The international authors and writers who's who. International Biographical Centre. ISBN 978-0-900332-45-6.
  2. ^ Barria, Javier A. (2006). Communication networks and computer systems: a tribute to Professor Erol Gelenbe. Imperial College Press. pp. 1–8. ISBN 978-1-86094-659-2.
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External links[edit]

  • Erol Gelenbe's Publications as listed in the DBLP Computer Science Bibliography and his List of Collaborators (including his doctoral students).