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

2022

26. Gelenbe, E., M. Nakip, D. Marek, and T. Czachórski, "Mitigating the Massive Access Problem in the Internet of Things", EuroCybersec, Nice, France, Springer, 2022.
27. Marantos, C., M. Siavvas, D. Tsoukalas, C. P. Lamprakos, L. Papadopoulos, P. Boryszko, K. Filus, J. Domańska, A. Ampatzoglou, A. Chatzigeorgiou, et al., "SDK4ED: One-click platform for Energy-aware, Maintainable and Dependable Applications", 25th Design, Automation and Test in Europe Conference, Belgium, 03/2022.
28. Gelenbe, E., M. Nakip, and T. Czachórski, "Improving Massive Access to IoT Gateways", Performance Evaluation, 08/2022.
29. Gelenbe, E., and M. Nakip, "G-Networks Can Detect Different Types of Cyberattacks", 2022 Mascots: 30th International Symposium on the Modelling, Analysis and Simulation of Computer and Telecommunication Systems, Nice, France, IEEE, 2022.  (1.51 MB)
30. Gelenbe, E., and K. Sigman, "IoT Traffic Shaping and the Massive Access Problem", ICC 2022, IEEE International Conference on Communications, 16–20 May 2022, Seoul, South Korea, Seoul, South Korea , IEEE Xplore, CC 2022 - IEEE International Conference on Communications, 2022, pp. 2732-2737, 08/2022.
31. Bi, H., and E. Gelenbe, "Searching and Rescuing Victims in Emergency: A Comprehensive Survey", CECNet 2021: IOS Press, 2022.
32. Gelenbe, E., M. Jankovic, D. Kehagias, A. Marton, and A. Vilmos, "Security in Computer and Information Sciences: Second International Symposium", EuroCybersec 2021: Springer Nature, 2022.
33. Gelenbe, E., M. P. Nowak, P. Fröhlich, J. Fiolka, and J. Chęciński, "Energy, QoS and Security Aware Edge Services", International ISCIS Security Workshop: Springer, 2022.
34. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Optimizing Energy Usage for an Electric Drone", EuroCybersec 2021, vol. 1596, Nice, France, Springer, 2022.  (434.37 KB)
35. Gelenbe, E., J. Marija, K. Dionysios, M. Anna, and V. Andras, "Security in Computer and Information Sciences", Second International Symposium, EuroCybersec 2021, Nice, France, Springer, 2022.
36. Konar, D., E. Gelenbe, S. Bhandary, A. Das Sarma, and A. Cangi, "Random Quantum Neural Networks (RQNN) for Noisy Image Recog- nition", ARXIV, 2022.
37. Gelenbe, E., and M. Nakip, "Traffic Based Sequential Learning During Botnet Attacks to Identify Compromised IoT Devices", IEEE Access, vol. 10, 10/2022.  (1.74 MB)
38. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Optimizing Energy Usage for an Electric Drone", EuroCybersec 2021: Security in Computer and Information Sciences, vol. 1596, no. CCIS, Nice, France, Springer, pp. 61–75, 2022.  (434.37 KB)
39. Gelenbe, E., G. Brasseur, L. Cheffneux, V. Dehant, A. Fabjanska, V. Halloin, M. Judkiewicz, V. Mrsa, and I. Martin Llorente, Challenges for European Science and Technology Driven Innovation in Europe, 2022.
40. Gelenbe, E., "NOBEL PRIZE 50 YEARS AGO", EPN, vol. 52, issue 5, 2022.  (334.02 KB)
41. Gelenbe, E., M. Nowak, P. Fröhlich, J. Fiolka, and J. Chęciński, "Energy, QoS and Security Aware Edge Services", EuroCybersec 2021: Springer, 2022.  (3.06 MB)
42. Czachórski, T., E. Gelenbe, and G. Suila Kuaban, "Modelling energy changes in the energy harvesting battery of an IoT device", 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2022), Nice, France, IEEE, 2022.  (1.35 MB)
43. Gelenbe, E., P. Pearce, V. Kaptan, Y. Wang, N.S. Walmsley, P. Gardiner, and J. Moffat, "A Dynamic Model for Identifying Enemy Collective Behaviour", 11th ICCRTS Coalition Command and Control in the Networked Era, 2022.  (879.53 KB)

2021

44. 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)
45. 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)
46. Fröhlich, P., E. Gelenbe, and M. Nowak, "Reinforcement Learning and Energy-Aware Routing", ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021: ACM, 2021.
47. Gelenbe, E., "NOBEL PRIZE 50 YEARS AGO", Europhysics News , vol. 52, issue 5, 2021.  (334.02 KB)
48. 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)
49. 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)
50. 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)

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