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

2021

51. Nakip, M., and E. Gelenbe, "Randomization of Data Generation Times Improves Performance of Predictive IoT Networks", 7th IEEE World Forum on the Internet of Things, New Orleans, Louisiana, USA, IEEE, 2021.  (968.83 KB)
52. Gelenbe, E., "Renforcer la place des universités européennes dans le concert mondial", Revue des Electriciens et Electroniciens, vol. 2, 2021.  (2.09 MB)
53. 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)
54. Fröhlich, P., E. Gelenbe, J. Fiołka, J. Chęciński, M. Nowak, and Z. Filus, "Smart SDN Management of Fog Services to Optimize QoS and Energy", Sensors, vol. 21(9), April 2021.  (2.41 MB)
55. Larhammar, D., M. Baghramian, P. Bianucci, G. Brod, D. Dobiáš, E. Gelenbe, R. Bil Kunelius, S. Leonardi, S. Lewandowsky, M. Oosterwege Samenweten, et al., "Fact or Fake? Tackling Science Disinformation", ALLEA General Assembly Paper, Berlin, ALLEA - All European Academies, pp. paper 5, 2021.  (2.37 MB)
56. Gelenbe, E., G. Brasseur, L. Chefneux, V. Devant, V. Halloin, J-P. Haton, M. Judkiewicz, B. Rentier, and R. Weikmans, "On Sharing Knowledge And Fostering “Open Science”", Ubiquity (ACM Journal), vol. 2021, issue 5, 2021.  (581.63 KB)
57. Siavvas, M., D. Kehagias, D. Tzovaras, and E. Gelenbe, "A hierarchical model for quantifying software security based on static analysis alerts and software metrics", Software Quality Journal, vol. 29, issue 2, 2021.  (3.32 MB)
58. Fröhlich, P., E. Gelenbe, and M. Nowak, "Reinforcement Learning and Energy-Aware Routing", ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021: ACM, 2021.
59. Nakip, M., and E. Gelenbe, "MIRAI Botnet Attack Detection with Auto-Associative Dense Random Neural Network", 2021 IEEE Global Communications Conference, Barcelona, IEEE, 7-11 Dec 2021.  (857.52 KB)
60. Gelenbe, E., M. Nakip, D. Marek, and T. Czachórski, "Diffusion Analysis Improves Scalability of IoTNetworks to Mitigate the Massive Access Problem", 2021 Mascots: 29th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems, Houston, Texas, USA, IEEE, 11/2021.  (1.99 MB)
61. Gelenbe, E., "NOBEL PRIZE 50 YEARS AGO", Europhysics News , vol. 52, issue 5, 2021.  (334.02 KB)

2020

62. 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)
63. 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)
64. 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)
65. 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)
66. 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)
67. 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)
68. Gelenbe, E., "Introduction to the Special Issue on the French-Polish Collaboration in Mathematical Models of Computer Systems, Networks and Bioinformatics", SN Computer Science, vol. 1, issue 1, pp. 44:1-44:10, 2020.  (804.77 KB)
69. 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)
70. 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)
71. Bi, H., E. Gelenbe, and Y. Chen, "Incentive mechanism for collective coordination in an urban intelligent transportation system using G-networks", IEEE MASCOTS 2020, Nice France, IEEEXpress, 10/2020.  (1.32 MB)
72. 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)
73. 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)
74. 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)
75. Serrano, W., and E. Gelenbe, "Deep Learning Clusters in the Cognitive Packet Network", Neurocomputing, vol. 396, 07/2020.  (4.6 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