Erol Gelenbe’s Career and Contributions

  • Professor Ufuk Çaglayan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3733)


We briefly summarize the career of Prof. Sami Erol Gelenbe who founded the ISCIS conference series, on the occasion of his 60th birthday, and on this 20th anniversary of the ISCIS conferences.


Neural Computation Call Admission Control Negative Customer Chair Professor Positive Customer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Gelenbe, E.: A unified approach to the evaluation of a class of replacement algorithms, vol. C-22(6), pp. 611–618 (1973)Google Scholar
  2. 2.
    Gelenbe, E.: On approximate computer system models. Journal ACM 22(2), 261–269 (1975)zbMATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Gelenbe, E., Mang, X., Onvural, R.: Diffusion based call admission control in ATM. Performance Evaluation 27, 28, 411–436 (1996)Google Scholar
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    Gelenbe, E., Mang, X., Onvural, R.: Bandwidth allocation and call admission control in high speed networks. IEEE Communications Magazine 35(5), 122–129 (1997)CrossRefGoogle Scholar
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    Marin, G.A., Mang, X., Gelenbe, E., Onvural, R.: U.S. Patent No. (1999)Google Scholar
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    Fayolle, G., Gelenbe, E., Labetoulle, J.: Stability and optimal control of the packet switching broadcast channel. Journal ACM 24(3), 375–386 (1977)zbMATHCrossRefMathSciNetGoogle Scholar
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    Banh-Tri-An, Gelenbe, E.: Am?lioration d’un canal de diffusion sous contr?le. Revue d’Informatique (R.A.I.R.O) 11(3), 301–321 (1977)MathSciNetGoogle Scholar
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    Gelenbe, E.: On the optimum checkpoint interval. Journal ACM 26(2), 259–270 (1979)zbMATHCrossRefMathSciNetGoogle Scholar
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    Gelenbe, E., Tripathi, S., Finkel, D.: Performance and reliability of a large distributed system. Acta Informatica 23, 643–655 (1986)zbMATHCrossRefGoogle Scholar
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    Gelenbe, E., Hernandez, M.: Optimum checkpoints with time dependent failures. Acta Informatica 27, 519–531 (1990)zbMATHCrossRefMathSciNetGoogle Scholar
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    Gelenbe, E., Hernandez, M.: Virus tests to maximize availability of software systems. Theoretical Computer Science 125, 131–147 (1994)zbMATHGoogle Scholar
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    Gelenbe, E., Mitrani, I.: Analysis and Sythnesis of Computer Systems. Academic Press, London (1980)Google Scholar
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    Gelenbe, E., Iasnogorodski, R.: A queue with server of walking type. Annales de l’Institut Henri Poincar?, S?rie B 16(1), 63–73 (1980)zbMATHMathSciNetGoogle Scholar
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    Gelenbe, E., Gardy, D.: On the size of projections I. Information Processing Letters 14(1) (1982)Google Scholar
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    Baccelli, F., Gelenbe, E., Plateau, B.: An end-to-end approach to the resequencing problem. Journal ACM 31(3) (1984)Google Scholar
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    Chesnais, A., Gelenbe, E., Mitrani, I.: On the modelling of parallel access to shared data. Comm. ACM 26(3) (1983)Google Scholar
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    Gelenbe, E., Pujolle, G.: Introduction to Networks of Queues, 2nd edn. John Wiley Ltd, Chichester (1998)Google Scholar
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    Gelenbe, E.: Queueing networks with negative and positive customers. Journal of Applied Probability 28, 656–663 (1991)zbMATHCrossRefMathSciNetGoogle Scholar
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    Gelenbe, E., Glynn, P., Sigman, K.: Queues with negative arrivals. Journal of Applied Probability 28, 245–250 (1991)zbMATHCrossRefMathSciNetGoogle Scholar
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    Gelenbe, E., Schassberger, M.: Stability of product form G-Networks. Probability in the Engineering and Informational Sciences 6, 271–276 (1992)zbMATHCrossRefGoogle Scholar
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    Gelenbe, E.: G-networks with instantaneous customer movement. Journal of Applied Probability 30(3), 742–748 (1993)zbMATHCrossRefMathSciNetGoogle Scholar
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    Gelenbe, E.: G-Networks with signals and batch removal. Probability in the Engineering and Informational Sciences 7, 335–342 (1993)CrossRefGoogle Scholar
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    Gelenbe, E.: G-networks: An unifying model for queueing networks and neural networks. Annals of Operations Research 48(1-4), 433–461 (1994)zbMATHCrossRefMathSciNetGoogle Scholar
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    Fourneau, J.M., Gelenbe, E., Suros, R.: G-networks with multiple classes of positive and negative customers. Theoretical Computer Science 155, 141–156 (1996)zbMATHCrossRefMathSciNetGoogle Scholar
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    Gelenbe, E., Labed, A.: G-networks with multiple classes of signals and positive customers. European Journal of Operations Research 108(2), 293–305 (1998)zbMATHCrossRefGoogle Scholar
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    Gelenbe, E., Shachnai, H.: On G-networks and resource allocation in multimedia systems. European Journal of Operational Research 126(2), 308–318 (2000)zbMATHCrossRefMathSciNetGoogle Scholar
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    Gelenbe, E., Fourneau, J.M.: G-Networks with resets. Performance Evaluation 49, 179–192 (2002)zbMATHCrossRefGoogle Scholar
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    Gelenbe, E.: Reseaux stochastiques ouverts avec clients negatifs et positifs, et reseaux neuronaux. Comptes-Rendus Acad. Sci. Paris, t. 309, Serie II, 979–982 (1989)Google Scholar
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    Gelenbe, E.: Random neural networks with positive and negative signals and product form solution. Neural Computation 1(4), 502–510 (1989)CrossRefGoogle Scholar
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    Gelenbe, E.: Stable random neural networks. Neural Computation 2(2), 239–247 (1990)CrossRefGoogle Scholar
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    Gelenbe, E.: Distributed associative memory and the computation of membership functions. Information Sciences 57, 58, 171–180 (1991)Google Scholar
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    Gelenbe, E.: Une generalisation probabiliste du probleme SAT. Comptes-Rendus Acad. Sci., t 313, Serie II, 339–342 (1992)Google Scholar
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    Atalay, V., Gelenbe, E.: Parallel algorithm for colour texture generation using the random neural network model. International Journal of Pattern Recognition and Artificial Intelligence 6(2,3), 437–446 (1992)Google Scholar
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    Gelenbe, E.: Learning in the recurrent random network. Neural Computation 5, 154–164 (1993)CrossRefGoogle Scholar
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    Gelenbe, E., Koubi, V., Pekergin, F.: Dynamical random neural approach to the traveling salesman problem. ELEKTRIK 2(2), 1–10 (1994)Google Scholar
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    Gelenbe, E., Cramer, C., Sungur, M., Gelenbe, P.: Traffic and video quality in adaptive neural compression. Multimedia Systems 4, 357–369 (1996)CrossRefGoogle Scholar
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    Gelenbe, E., Feng, T., Krishnan, K.R.R.: Neural network methods for volumetric magnetic resonance imaging of the human brain. Proceedings of the IEEE 84(10), 1488–1496 (1996)CrossRefGoogle Scholar
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    Gelenbe, E., Ghanwani, A., Srinivasan, V.: Improved neural heuristics for multicast routing. IEEE Journal of Selected Areas of Communications 15(2), 147–155 (1997)CrossRefGoogle Scholar
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    Gelenbe, E., Harmanci, K., Krolik, J.: Learning neural networks for detection and classification of synchronous recurrent transient signals. Signal Processing 64(3), 233–247 (1998)zbMATHCrossRefGoogle Scholar
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    Bakircioglu, H., Gelenbe, E., Kocak, T.: Image processing with the Random Neural Network model. ELEKTRIK 5(1), 65–77 (1998)Google Scholar
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    Gelenbe, E., Cramer, C.: Oscillatory corticothalamic response to somatosensory input. Biosystems 48(1-3), 67–75 (1998)CrossRefGoogle Scholar
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    Gelenbe, E., Mao, Z.-H., Li, Y.-D.: Function approximation with spiked random networks. IEEE Trans. on Neural Networks 10(1), 3–9 (1999)CrossRefGoogle Scholar
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    Gelenbe, E., Fourneau, J.M.: Random neural networks with multiple classes of signals. Neural Computation 11(4), 953–963 (1999)CrossRefGoogle Scholar
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    Cramer, C., Gelenbe, E.: Video quality and traffic QoS in learning-based sub-sampled and receiver-interpolated video sequences. IEEE Journal on Selected Areas in Communications 18(2), 150–167 (2000)CrossRefGoogle Scholar
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    Gelenbe, E., Hussain, K.: Learning in the multiple class random neural network. IEEE Trans. on Neural Networks 13(6), 1257–1267 (2002)CrossRefGoogle Scholar
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    Gelenbe, E., Lent, R., Xu, Z.: Measurement and performance of a cognitive packet network. Computer Networks 37, 691–791 (2001)CrossRefGoogle Scholar
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    Gelenbe, E., Lent, R., Xu, Z.: Design and performance of cognitive packet networks. Performance Evaluation 46, 155–176 (2001)zbMATHCrossRefGoogle Scholar
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    Gelenbe, E.: Sensible decisions based on QoS. Computational Management Science 1(1), 1–14 (2004)zbMATHGoogle Scholar
  49. 49.
    Gelenbe, E., Lent, R.: Adhoc power aware Cognitive Packet Networks. Ad Hoc Networks Journal 2(3), 205–216 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Professor Ufuk Çaglayan
    • 1
  1. 1.Department of Computer EngineeringBogaziçi UniversityBebek, IstanbulTurkey

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