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.

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Publications
Biblio RSS

2018

101. 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.
102. 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.
103. 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.
104. 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.
105. 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.
106. 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.
107. 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.
108. Ferrera, E., C. Pastrone, P-E. Brun, R. De Besombes, K. Loupos, G. Kouloumpis, P. O’Sullivan, A. Papageorgiou, P. Katsoulakos, B. Karakostas, et al., "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, 2018.
109. Natsiavas, P., J. Rasmussen, M. Voss-Knude, K. Votis, L. Coppolino, P. Campegiani, I. Cano, D. Marí, G. Faiella, F. Clemente, et al., "Comprehensive user requirements engineering methodology for secure and interoperable health data exchange", BMC Med. Inf. & Decision Making, vol. 18, pp. 85:1–85:16, 2018.
110. Du, J., C. Jiang, E. Gelenbe, L. Xu, J. Li, and Y. Ren, "Distributed Data Privacy Preservation in IoT Applications", IEEE Wirel. Commun., vol. 25, pp. 68–76, 2018.
111. Collen, A., N. A. Nijdam, J. Augusto-Gonzalez, S. K. Katsikas, K. M. Giannoutakis, G. Spathoulas, E. Gelenbe, K. Votis, D. Tzovaras, N. Ghavami, et al., "GHOST - Safe-Guarding Home IoT Environments with Personalised Real-Time Risk Control", Security in Computer and Information Sciences - First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, London, UK, February 26-27, 2018, Revised Selected Papers: Springer, 2018.
112. Grenet, I., Y. Yin, J-P. Comet, and E. Gelenbe, "Machine Learning to Predict Toxicity of Compounds", Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I: Springer, 2018.
113. 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, MO, USA, May 20-24, 2018: IEEE, 2018.
114. Akinwande, O. J., and E. Gelenbe, "A Reinforcement Learning Approach to Adaptive Forwarding in Named Data Networking", Computer and Information Sciences - 32nd International Symposium, ISCIS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 20-21, 2018, Proceedings: Springer, 2018.
115. Du, J., C. Jiang, E. Gelenbe, Z. Han, Y. Ren, and M. Guizani, "Networked Data Transaction in Mobile Networks: A Prediction-based Approach Using Auction", 14th International Wireless Communications & Mobile Computing Conference, IWCMC 2018, Limassol, Cyprus, June 25-29, 2018: IEEE, 2018.
116. Du, J., E. Gelenbe, C. Jiang, Z. Han, Y. Ren, and M. Guizani, "Cognitive Data Allocation for Auction-based Data Transaction in Mobile Networks", 14th International Wireless Communications & Mobile Computing Conference, IWCMC 2018, Limassol, Cyprus, June 25-29, 2018: IEEE, 2018.
117. "Security in Computer and Information Sciences - First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, London, UK, February 26-27, 2018, Revised Selected Papers", Communications in Computer and Information Science, vol. 821: Springer, 2018.

2017

118. 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.
119. 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.
120. 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.
121. 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.
122. 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.
123. 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.
124. Fourneau, J., and E. Gelenbe, "G-networks with Adders", Future Internet, vol. 9, issue 3, pp. 1-7, 07/2017.
125. Serrano, W., and E. Gelenbe, "Intelligent search with deep learning clusters", Intelligent Systems Conference (IntelliSys) 2017, London, UK , IEEE , 03/2018, 2017.

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