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

2020

51. 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)
52. 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)
53. 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)
54. 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)
55. 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)
56. 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)
57. 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)
58. 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)
59. 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)
60. 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)
61. 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)
62. 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)
63. Serrano, W., and E. Gelenbe, "Deep Learning Clusters in the Cognitive Packet Network", Neurocomputing, vol. 396, 07/2020.  (4.6 MB)
64. Du, J., E. Gelenbe, C. Jiang, Z. Han, and Y. Ren, "Auction-Based Data Transaction in Mobile Networks: Data Allocation Design and Performance Analysis", IEEE Transactions on Mobile Computing, vol. 19, issue 5, 05/2020.  (432.73 KB)
65. Czachórski, T., E. Gelenbe, and D. Marek, "Software Defined Network Dynamics via Diffusions", 28th International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2020, revised delected papers, Computer Communication Networks and Telecommunications, LNCS, vol. 12527, on-line, Springer International Publishing, 12/2020.  (447.84 KB)
66. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Time Dependent Diffusion Model for Security Driven Software Defined Networks", The Second International Workshop on Stochastic Modeling and Applied Research of Technology (SMARTY 2020), vol. 2792, pp. pp. 38-56, 2020.  (2.29 MB)
67. Thampi, S. M., E. Gelenbe, M. Atiquzzaman, V. Chaudhary, and K-C. Li, Advances in Computing and Network Communications, vol. 1: Springer, 2020.

2019

68. Gelenbe, E., and Y. Zhang, "Performance Optimization With Energy Packets", IEEE Systems Journal, 2019.
69. Hussain, K. F., M. Yousef Bassyouni, and E. Gelenbe, "Accurate, Energy-efficient Classification With Spiking Random Neural Network", Probability in the Engineering and Informational Sciences, 05/2019.
70. Siavvas, M., and E. Gelenbe, "Optimum checkpoints for programs with loops", Simulation Modelling Practice and Theory, vol. 97, 07/2019.
71. Nalin, M., I. Baroni, G. Faiella, M. Romano, F. Matrisciano, E. Gelenbe, D. Mari Martinez, J. Dumortier, P. Natsiavas, K. Votis, et al., "The European cross-border health data exchange roadmap: Case study in the Italian setting", J. Biomed. Informatics, vol. 94, 2019.
72. Buyya, R., S. Narayana Srirama, G. Casale, R. N. Calheiros, Y. Simmhan, B. Varghese, E. Gelenbe, B. Javadi, L. Miguel Vaquero, M. A. S. Netto, et al., "A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade", ACM Comput. Surv., vol. 51, pp. 105:1–105:38, 2019.
73. Kadioglu, Y. Murat, and E. Gelenbe, "Product-Form Solution for Cascade Networks With Intermittent Energy", IEEE Systems Journal, vol. 13, pp. 918–927, 2019.  (638.93 KB)
74. Du, J., E. Gelenbe, C. Jiang, H. Zhang, Y. Ren, and V. H. Poor, "Peer Prediction-Based Trustworthiness Evaluation and Trustworthy Service Rating in Social Networks", IEEE Trans. Information Forensics and Security, vol. 14, pp. 1582–1594, 2019.  (9.62 MB)
75. Du, J., C. Jiang, E. Gelenbe, H. Zhang, Y. Ren, and T. Q. S. Quek, "Double Auction Mechanism Design for Video Caching in Heterogeneous Ultra-Dense Networks", IEEE Trans. Wireless Communications, vol. 18, pp. 1669–1683, 2019.

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