Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-28T16:14:43.931Z Has data issue: false hasContentIssue false

EROL GELENBE: A CAREER IN MULTI-DISCIPLINARY PROBABILITY MODELS

Published online by Cambridge University Press:  20 May 2016

M. Ufuk Çag̃layan*
Affiliation:
Department of Computer Eng'g Bog̃aziçi University PK 8, Bebek, Istanbul, Turkey E-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We focus on Erol Gelenbe's scientific and technical contributions to probability models in the computer and information sciences, but limit our survey to the last fifteen years. We start with a brief overview of his work as a single author, as well as his work in collaboration with over 200 co-authors. We discuss some of his recent and innovative work regarding a new probability model that represents Intermittent Energy Sources for Computing and Communications, introducing Energy Packet Networks which are a probabilistic representation of the flow, storage and consumption of electrical energy at the microscopic level (in electronic chips), and at the macroscopic level (e.g. in buildings or data centers) and for its routing and dynamic usage by consuming units (such as computer elements, chips or machines). We next discuss his work on designing computer and communication systems that parsimoniously use energy in order to achieve a satisfactory level of quality of service (QoS). Trade-offs between system QoS and energy consumption are also considered. Then we turn to Prof. Gelenbe's pioneering work on Autonomic Communications and the design and implementation of CPN, the Cognitive Packet Network, and we also briefly review his spiking random neural network that was used in CPN. This is followed by a brief review of work that he conducted since 1999 on human evacuation from dangerous or catastrophic environments, and the design of technology driven Emergency Management Systems. His research since the late 2000s on Gene Regulatory Networks is then covered together with its application to the detecting possible disease from microarray data. Finally, we briefly discuss some novel analytical models that he developed in this period with publications appearing in journals of physics and applied mathematics.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press 2016

References

1.Abdelbaki, H., Gelenbe, E. & El-Khamy, S.E. (1999). Random neural network decoder for error correcting codes. In International Joint Conference on Neural Networks, 1999. IJCNN'99, vol. 5, pp. 32413245. IEEE.CrossRefGoogle Scholar
2.Abdelbaki, H., Gelenbe, E. & Kocak, T. (1999). Matched neural filters for emi based mine detection. In International Joint Conference on Neural Networks, 1999. IJCNN'99, vol. 5, pp. 32363240. IEEE.CrossRefGoogle Scholar
3.Abdelbaki, H., Gelenbe, E., Koçak, T. & El-Khamy, S.E. (1999). Random neural network filter for land mine detection. In Proceedings of the Sixteenth National Radio Science Conference, 1999. NRSC'99, pp. C43–1. IEEE.Google Scholar
4.Abdelbaki, H.M., Hussain, K. & Gelenbe, E. (2001). A laser intensity image based automatic vehicle classification system. In Proceedings of 2001 IEEE Conference on Intelligent Transportation Systems, 2001, pp. 460465. IEEE.Google Scholar
5.Abdelrahman, O.H. & Gelenbe, E. (2012). Packet delay and energy consumption in non-homogeneous networks. The Computer Journal 55(8): 950964.Google Scholar
6.Abdelrahman, O.H. & Gelenbe, E. (2013). Time and energy in team-based search. Physical Review E 87(3): 032125.Google Scholar
7.Abdelrahman, O.H. & Gelenbe, E. (2014). Signalling storms in 3g mobile networks. In IEEE International Conference on Communications, ICC 2014, Sydney, Australia, 10–14 June 2014, pp. 10171022. IEEE.Google Scholar
8.Adams, C., Gelenbe, E. & Vicard, J. (1979). An experimentally validated model of the paging drum. Acta Informatica 11: 103117.Google Scholar
9.Aguilar, J. & Gelenbe, E. (1997). Task assignment and transaction clustering heuristics for distributed systems. Information Sciences 97(1): 199219.Google Scholar
10.American Mathematical Society. Top 50 advisors: Mathematics genealogy project. 2016.Google Scholar
11.An, B.-T. & Gelenbe, E. (1977). Control and improvement of the broadcast channel. In Spies, P.P. (ed.), Modelle für Rechensysteme, Workshop der GI, Bonn, 31.3.–1.4.1977, vol. 9 of Informatik-Fachberichte, pp. 256276. Berlin: Springer.Google Scholar
12.Atalay, V. & Gelenbe, E. (1992). Parallel algorithm for colour texture generation using the random neural network model. International Journal of Pattern Recognition and Artificial Intelligence 6(2–3): 437446.Google Scholar
13.Atalay, V., Gelenbe, E. & Yalabik, N. (1992). The random neural network model for texture generation. International Journal of Pattern Recognition and Artificial Intelligence 6(1): 131141.CrossRefGoogle Scholar
14.Baccelli, F., Gelenbe, E. & Plateau, B. (1984). An end-to-end approach to the resequencing problem. Journal of ACM 31(3): 474485.Google Scholar
15.Badel, M., Gelenbe, E., Leroudier, J. & Potier, D. (1975). Adaptive optimization of a time-sharing system's performance. Proceedings of the IEEE 63(6): 958965.Google Scholar
16.Badel, M., Gelenbe, E., Leroudier, J., Potier, D., Lenfant, J. (1974). Adaptive optimization of the performance of a virtual memory computer. ACM SIGMETRICS Performance Evaluation Review 3(4): 188.Google Scholar
17.Berl, A., Gelenbe, E., Di Girolamo, M., Giuliani, G., De Meer, H., Dang, M.Q. & Pentikousis, K. (2010). Energy-efficient cloud computing. The Computer Journal 53(7): 10451051.Google Scholar
18.Bi, H., Desmet, A. & Gelenbe, E. (2013). Routing emergency evacuees with cognitive packet networks. In Gelenbe, E. & Lent, R. (Eds.), Information Sciences and Systems 2013. London and Berlin: Springer International Publishing, pp. 295303.Google Scholar
19.Bi, H. & Gelenbe, E. (2013). Routing diverse evacuees with cognitive packets. arXiv:1311.4818.Google Scholar
20.Bi, H. & Gelenbe, E. (2014). A cooperative emergency navigation framework using mobile cloud computing. In Information Sciences and Systems 2014. London and Berlin: Springer International Publishing, pp. 4148.CrossRefGoogle Scholar
21.Chabridon, S. & Gelenbe, E. (1997). Scheduling of distributed tasks for survivability of the application. Information Science 97(1&2): 179198.Google Scholar
22.Chesnais, A., Gelenbe, E. & Mitrani, I. (1983). On the modeling of parallel access to shared data. Communications of the ACM 26(3): 196202.Google Scholar
23.Coffman, E.G. Jr., Gelenbe, E. & Plateau, B. (1980). Optimization of the number of copies in a distribution data base. In ACM SIGMETRICS Performance Evaluation Review, vol. 9, pp. 257263. ACM.Google Scholar
24.Coffman, E.G., Gelenbe, E. & Plateau, B. (1981). Optimization of the number of copies in a distributed data base. IEEE Transactions on Software Engineering 7(1): 7884.Google Scholar
25.Cramer, C., Gelenbe, E. & Bakircioglu, H. (1996). Video compression with random neural networks. In International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings, pp. 476484. IEEE.CrossRefGoogle Scholar
26.Cramer, C., Gelenbe, E. & Bakircloglu, H. (1996). Low bit-rate video compression with neural networks and temporal subsampling. Proceedings of the IEEE 84(10): 15291543.Google Scholar
27.Desmet, A. & Gelenbe, E. (2013). Graph and analytical models for emergency evacuation. Future Internet 5(1): 4655.Google Scholar
28.Desmet, A. & Gelenbe, E. (2013). Interoperating infrastructures in emergencies. In Gelenbe, E. & Lent, R. (Eds.), Computer and Information Sciences III. London: Springer, pp. 123130.CrossRefGoogle Scholar
29.Dieudonné, M.P.G., Raillard, Y.G. & Gelenbe, E. (1983). Switching network and telecommunication centre comprising such a network. European Patent EP0021932.Google Scholar
30.Dimakis, N., Filippoupolitis, A. & Gelenbe, E. (2010). Distributed building evacuation simulator for smart emergency management. The Computer Journal 53(9): 13841400.CrossRefGoogle Scholar
31.Dobson, S., Denazis, S., Fernández, A., Gaïti, D., Gelenbe, E., Massacci, F., Nixon, P., Saffre, F., Schmidt, N. & Zambonelli, F. (2006). A survey of autonomic communications. ACM Transactions on Autonomous and Adaptive Systems (TAAS) 1(2): 223259.CrossRefGoogle Scholar
32.Fayolle, G., Gelenbe, E., Labetoulle, J. & Bastin, D. (1974). The stability problem of broadcast packet switching computer networks. Acta Informatica 4(1): 4953.Google Scholar
33.Feng, Y. & Gelenbe, E. (1998). Adaptive object tracking and video compression. Networking and Information Systems 1(4–5): 371400.Google Scholar
34.Filippoupolitis, A. & Gelenbe, E. (2009). A distributed decision support system for building evacuation. In Second Conference on Human System Interactions, 2009. HSI'09, pp. 323330. IEEE.CrossRefGoogle Scholar
35.Filippoupolitis, A. & Gelenbe, E. (2012). A distributed simulation platform for urban security. In Green Computing and Communications (GreenCom), 2012 IEEE International Conference on, pp. 434441. IEEE.Google Scholar
36.Filippoupolitis, A., Gorbil, G. & Gelenbe, E. (2011). Spatial computers for emergency management. In 2011 Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW), pp. 6166. IEEE.Google Scholar
37.Filippoupolitis, A., Gorbil, G. & Gelenbe, E. (2012). Pervasive emergency support systems for building evacuation. In 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 525527. IEEE.Google Scholar
38.Filippoupolitis, A., Hey, L., Loukas, G., Gelenbe, E. & Timotheou, S. (2008). Emergency response simulation using wireless sensor networks. In Proceedings of the First International Conference on Ambient media and systems, p. 21. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).CrossRefGoogle Scholar
39.Fourneau, J.-M., Gelenbe, E. & Suros, R. (1996). G-networks with multiple classes of negative and positive customers. Theoretical Computer Science 155(1): 141156.Google Scholar
40.Gelenbe, E. (1973). A unified approach to the evaluation of a class of replacement algorithms. IEEE Transactions on Computers, 22(6): 611618.Google Scholar
41.Gelenbe, E. (1975). On approximate computer system models. Journal of the ACM (JACM) 22(2): 261269.Google Scholar
42.Gelenbe, E. (1979). Probabilistic models of computer systems. Acta Informatica 12(4): 285303.Google Scholar
43.Gelenbe, E. (1989). Open random networks with negative and positive customers, and neural networks. Comptes-Rendus de l'Académie des Sciences, Série II 309(10): 979982.Google Scholar
44.Gelenbe, E. (1990). Stability of the random neural network model. Neural Computation 2(2): 239247.CrossRefGoogle Scholar
45.Gelenbe, E. (1992). G-nets and learning recurrent random networks. In Proceedings of International Conference on Artificial Neural Networks, Brighton, England.Google Scholar
46.Gelenbe, E. (1993). G-networks with signals and batch removal. Probability in the Engineering and Informational Sciences 7: 335342.CrossRefGoogle Scholar
47.Gelenbe, E. (1993). Learning in the recurrent random neural network. Neural Computation 5(1): 154164.CrossRefGoogle Scholar
48.Gelenbe, E. (1994). G-networks: a unifying model for neural and queueing networks. Annals of Operations Research 48(5): 433461.Google Scholar
49.Gelenbe, E. (2000). The first decade of g-networks. European Journal of Operational Research 126(2): 231232.Google Scholar
50.Gelenbe, E. (2003). Sensible decisions based on QoS. Computational Management Science 1(1): 114.CrossRefGoogle Scholar
51.Gelenbe, E. (2004). Cognitive packet network. US Patent 6,804,201 B1.Google Scholar
52.Gelenbe, E. (2004). Quality of service in ad hoc networks. Ad Hoc Networks 2(3): 203.Google Scholar
53.Gelenbe, E. (2006). Users and services in intelligent networks. IEE Proceedings-Intelligent Transport Systems 153(3): 213220.Google Scholar
54.Gelenbe, E. (2007). A diffusion model for packet travel time in a random multi-hop medium. ACM Transactions on Sensor Networks 3(2), article no. 10. doi: 10.1145/1240226.1240230.CrossRefGoogle Scholar
55.Gelenbe, E. (2007). Analytical solution of gene regulatory networks. In IEEE International Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007, pp. 16. IEEE.Google Scholar
56.Gelenbe, E. (2007). Dealing with software viruses: a biological paradigm. Information Security Technical Report 12(4): 242250.CrossRefGoogle Scholar
57.Gelenbe, E. (2008). Modelling gene regulatory networks. In Liò, P., Yoneki, E., Crowcroft, J., & Verma, D.C. (Eds.), Bio-Inspired Computing and Communication, Vol. 5151, Lecture Notes in Computer Science. Berlin and Heidelberg: Springer, pp. 1932.Google Scholar
58.Gelenbe, E. (2007). Steady-state solution of probabilistic gene regulatory networks. Physical Review E 76(3): 031903.Google Scholar
59.Gelenbe, E. (2008). Network of interacting synthetic molecules in equilibrium. Proceedings of the Royal Society A 464: 22192228.Google Scholar
60.Gelenbe, E. (2008). Network of interacting synthetic molecules in steady state. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science 464(2096): 22192228.Google Scholar
61.Gelenbe, E. (2009). Analysis of single and networked auctions. ACM Transactions on Internet Technology (TOIT) 9(2): 8.Google Scholar
62.Gelenbe, E. (2009). Steps toward self-aware networks. Communications of the ACM 52(7): 6675.Google Scholar
63.Gelenbe, E. (2010). Keynote: steps toward self-aware networks. In Computer and Information Technology (CIT), 2010 IEEE Tenth International Conference on, pp. xciv–xciv. IEEE.Google Scholar
64.Gelenbe, E. (2010). Search in unknown random environments. Physical Review E 82: 061112.Google Scholar
65.Gelenbe, E. (2011). Ubiquity symposium: natural computation. Ubiquity 2011: 1.Google Scholar
66.Gelenbe, E. (2012). Energy packet networks: adaptive energy management for the cloud. In Proceedings of the Second International Workshop on Cloud Computing Platforms, p. 1. ACM.Google Scholar
67.Gelenbe, E. (2012). Energy packet networks: Ict based energy allocation and storage. In Green Communications and Networking. Berlin, Heidelberg: Springer, pp. 186195.Google Scholar
68.Gelenbe, E. (2012). Energy packet networks: smart electricity storage to meet surges in demand. In Proceedings of the Fifth International ICST Conference on Simulation Tools and Techniques. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), pp. 17.Google Scholar
69.Gelenbe, E. (2014). Adaptive management of energy packets. In 2014 IEEE 38th International Computer Software and Applications Conference Workshops (COMPSACW), pp. 16. IEEE.Google Scholar
70.Gelenbe, E. (2014). A sensor node with energy harvesting. ACM SIGMETRICS Performance Evaluation Review 42(2): 3739.Google Scholar
71.Gelenbe, E. (2014). Error and energy when communicating with spins. In 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 784787. IEEE.CrossRefGoogle Scholar
72.Gelenbe, E. (2015). Errors and power when communicating with spins. IEEE Transactions on Emerging Topics Computing 3(4): 483488.CrossRefGoogle Scholar
73.Gelenbe, E. (2015). Synchronising energy harvesting and data packets in a wireless sensor. Energies 8(1): 356369.Google Scholar
74.Gelenbe, E. & Bi, H. (2014). Emergency navigation without an infrastructure. Sensors 14(8): 1514215162.Google Scholar
75.Gelenbe, E. & Cao, Y. (1998). Autonomous search for mines. European Journal of Operational Research 108(2): 319333.Google Scholar
76.Gelenbe, E. & Ceran, E.T. (2015). Central or distributed energy storage for processors with energy harvesting. In The Fourth International Conference on Sustainable Internet and ICT for Sustainability. IEEE.Google Scholar
77.Gelenbe, E. & Feng, Y. (1999). Image content classification methods, systems and computer programs using texture patterns. US Patent 5,995,651.Google Scholar
78.Gelenbe, E., Feng, Y., Ranga, K. & Krishnan, R. (1996). Neural network methods for volumetric magnetic resonance imaging of the human brain. Proceedings of the IEEE 84(10): 14881496.Google Scholar
79.Gelenbe, E., Feng, Y., Ranga, K. & Krishnan, R. (1996). Neural networks for volumetric mr imaging of the brain. In Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996, pp. 194202. IEEE.Google Scholar
80.Gelenbe, E., Finkel, D. & Tripathi, S.K. (1986). Availability of a distributed computer system with failures. Acta Informatica 23(6): 643655.Google Scholar
81.Gelenbe, E. & Fourneau, J.-M., (1999). Random neural networks with multiple classes of signals. Neural Computation, 11(4):953963.Google Scholar
82.Gelenbe, E. & Fourneau, J.-M. (2002). G-networks with resets. Performance Evaluation 49(1/4): 179191.Google Scholar
83.Gelenbe, E. & Gardy, D. (1982). On the size of projections: I. Information Processing Letters 14(1): 1821.Google Scholar
84.Gelenbe, E. & Gardy, D. (1982). The size of projections of relations satisfying a functional dependency. In Proceedings of the Eighth International Conference on Very Large Data Bases (VLDB 1982). Morgan Kaufmann Publishers Inc., pp. 325333.Google Scholar
85.Gelenbe, E., Gellman, M. & Loukas, G. (2005). An autonomic approach to denial of service defence. In Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks, 2005. WoWMoM 2005, pp. 537541. IEEE.CrossRefGoogle Scholar
86.Gelenbe, E., Gellman, M. & Su, P. (2003). Self-awareness and adaptivity for quality of service. In Proceedings of the Eighth IEEE Symposium on Computers and Communications (ISCC 2003), 30 June–3 July 2003, Kiris-Kemer, Turkey. IEEE Computer Society, pp. 39.Google Scholar
87.Gelenbe, E., Gellman, M. & Su, P. (2003). Self-awareness and adaptivity for quality of service. In Proceedings of Eighth IEEE International Symposium on Computers and Communication, 2003.(ISCC 2003), pp. 39. IEEE.CrossRefGoogle Scholar
88.Gelenbe, E., Ghanwani, A. & Srinivasan, V. (1997). Improved neural heuristics for multicast routing. IEEE Journal on Selected Areas in Communications 15(2): 147155.CrossRefGoogle Scholar
89.Gelenbe, E., Ghanwani, A. & Srinivasan, V. (1997). Improved neural heuristics for multicast routing. IEEE Journal on Selected Areas in Communications, 15(2): 147155.Google Scholar
90.Gelenbe, E., Gorbil, G. & Wu, F.-J. (2012). Emergency cyber-physical-human systems. In 2012 21st International Conference on Computer Communications and Networks (ICCCN), pp. 17. IEEE.Google Scholar
91.Gelenbe, E. & Guennouni, H. (1991). Flexsim: A flexible manufacturing system simulator. European Journal of Operational Research 53(2): 149165.Google Scholar
92.Gelenbe, E., Gunduz, D., (2013). Optimum power level for communications with interference. In 2013 24th Tyrrhenian International Workshop on Digital Communications-Green ICT (TIWDC), pp. 16. IEEE.CrossRefGoogle Scholar
93.Gelenbe, E. & Hébrail, G. (1986). A probability model of uncertainty in data bases. In Proceedings of the Second International Conference on Data Engineering. IEEE Computer Society, pp. 328333.Google Scholar
94.Gelenbe, E. & Hernández, M. (1990). Optimum checkpoints with age dependent failures. Acta Informatica 27(6): 519531.Google Scholar
95.Gelenbe, E. & Hussain, K. (2002). Learning in the multiple class random neural network. IEEE Transactions on Neural Networks 13(6): 12571267.Google Scholar
96.Gelenbe, E., Hussain, K. & Kaptan, V. (2005). Simulating autonomous agents in augmented reality. Journal of Systems and Software 74(3): 255268.Google Scholar
97.Gelenbe, E. & Hussain, K.F. (2002). Learning in the multiple class random neural network. IEEE Transactions on Neural Networks, 13(6): 12571267.CrossRefGoogle ScholarPubMed
98.Gelenbe, E. & Iasnogorodski, R. (1980). A queue with server of walking type (autonomous service). Annales de l'Institut Henri Poincaré. Section B, Calcul des Probabilités et Statistique 16(1): 6373.Google Scholar
99.Gelenbe, E., Kaptan, V., Wang, Y. (2004). Biological metaphors for agent behavior. In Computer and Information Sciences-ISCIS 2004. Berlin, Heidelberg: Springer, pp. 667675.Google Scholar
100.Gelenbe, E. & Kazhmaganbetova, Z. (2014). Cognitive packet network for bilateral asymmetric connections. IEEE Transactions on Industrial Informatics 10(3): 17171725.Google Scholar
101.Gelenbe, E. & Koçak, T. (2000). Area-based results for mine detection. IEEE Transactions on Geoscience and Remote Sensing, 38(1): 1224.Google Scholar
102.Gelenbe, E., Koçak, T. & Wang, R. (2004). Wafer surface reconstruction from top–down scanning electron microscope images. Microelectronic Engineering 75(2): 216233.Google Scholar
103.Gelenbe, E., Koubi, V., Pekergin, F. (1993). Dynamical random neural network approach to the traveling salesman problem. In International Conference on Systems, Man and Cybernetics, 1993. ‘Systems Engineering in the Service of Humans’, Conference Proceedings, pp. 630635. IEEE.Google Scholar
104.Gelenbe, E., Koubi, V. & Pekergin, F. (1993). Dynamical random neural network approach to the traveling salesman problem. In Proceedings of IEEE Symposium on Systems, Man and Cybernetics, pp. 630635. IEEE.Google Scholar
105.Gelenbe, E. & Kurinckx, A. (1978). Random injection control of multiprogramming in virtual memory. IEEE Trans. Software Engineering 4(1): 217.Google Scholar
106.Gelenbe, E. & Kurinckx, A. (1978). Random injection control of multiprogramming in virtual memory. IEEE Transactions on Software Engineering, SE 4(1): 217.CrossRefGoogle Scholar
107.Gelenbe, E. & Kushwaha, R. (1994). Dynamic load balancing in distributed systems. In Madisetti, Vijay K., Gelenbe, Erol, and Walrand, Jean C., editors, MASCOTS ’94, Proceedings of the Second International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems, 31 January–2 February 1994, Durham, North Carolina, USA. IEEE Computer Society, pp. 245249.Google Scholar
108.Gelenbe, E. & Labed, A. (1996). Esprit ltr project 8144 lydia load balancing and g-networks: Design, implementation and evaluation. Technical report, Technical Report, IHEI, Univ. René Descartes, Paris V.Google Scholar
109.Gelenbe, E. & Labed, A. (1998). G-networks with multiple classes of signals and positive customers. European Journal of Operational Research 108(2): 293305.Google Scholar
110.Gelenbe, E., Labetoulle, J. & Pujolle, G. (1978). Performance evaluation of the HDLC protocol. Computer Networks 2: 409415.Google Scholar
111.Gelenbe, E., Lenfant, J. & Potier, D. (1974). Analyse d'un algorithme de gestion simultanée mémoire centrale – disque de pagination. Acta Informatica 3: 321345.Google Scholar
112.Gelenbe, E., Lenfant, J. & Potier, D. (1975). Response time of a fixed-head disk to transfers of variable length. SIAM Journal on Computing 4(4): 461473.Google Scholar
113.Gelenbe, E. & Lent, R. (2002). Mobile ad-hoc cognitive packet networks. Proc. IEEE ASWN, pp. 24.Google Scholar
114.Gelenbe, E. & Lent, R. (2004). Power-aware ad hoc cognitive packet networks. Ad Hoc Networks 2(3): 205216.Google Scholar
115.Gelenbe, E. & Lent, R. (2012). Optimising server energy consumption and response time. Theoretical and Applied Informatics, 24(4): 257270.Google Scholar
116.Gelenbe, E. & Lent, R. (2012). Trade-offs between energy and quality of service. In Sustainable Internet and ICT for Sustainability (SustainIT), 2012, pp. 15. IEEE.Google Scholar
117.Gelenbe, E. & Lent, R. (2013). Energy–qos trade-offs in mobile service selection. Future Internet 5(2): 128139.Google Scholar
118.Gelenbe, E., Lent, R. & Douratsos, M. (2012). Choosing a local or remote cloud. In 2012 Second Symposium on Network Cloud Computing and Applications (NCCA), pp. 2530. IEEE.Google Scholar
119.Gelenbe, E., Lent, R., Montuori, A. & Xu, Z. (2002). Cognitive packet networks: Qos and performance. In Tenth IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems, 2002. MASCOTS 2002. Proceedings, pp. 39. IEEE.Google Scholar
120.Gelenbe, E., Lent, R. & Nunez, A. (2004). Self-aware networks and QoS. Proceedings of the IEEE 92(9): 14781489.Google Scholar
121.Gelenbe, E., Lent, R. & Xu, Z. (2001). Design and performance of cognitive packet networks. Performance Evaluation 46(2): 155176.Google Scholar
122.Gelenbe, E., Lent, R. & Xu, Z. (2001). Measurement and performance of a cognitive packet network. Computer Networks 37(6): 691701.CrossRefGoogle Scholar
123.Gelenbe, E., Lent, R. & Xu, Z. (2001). Towards networks with cognitive packets. In Performance and QoS of next generation networking. London: Springer, pp. 317.Google Scholar
124.Gelenbe, E., Lichnewsky, A. & Stafylopatis, A. (1982). Experience with the parallel solutions of partial differential equations on a distributed computing system. IEEE Trans. Computers 31(12): 11571164.Google Scholar
125.Gelenbe, E. & Liu, P. (2005). Qos and routing in the cognitive packet network. In Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks, 2005. WoWMoM 2005. IEEE, pp. 517521.Google Scholar
126.Gelenbe, E., Liu, P. & Lainé, J. (2006). Genetic algorithms for route discovery. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 36(6): 12471254.Google Scholar
127.Gelenbe, E. & Loukas, G. (2007). A self-aware approach to denial of service defence. Computer Networks 51(5): 12991314.Google Scholar
128.Gelenbe, E. & Mahmoodi, T. (2011). Energy-aware routing in the cognitive packet network. In ENERGY 2011, The First International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, pp. 712.Google Scholar
129.Gelenbe, E. & Mahmoodi, T. (2012). Distributed energy-aware routing protocol. In Gelenbe, E. & Lent, R. (Eds.), Computer and Information Sciences II. London: Springer, pp. 149154.Google Scholar
130.Gelenbe, E. & Morfopoulou, C. (2010). Routing and G-networks to optimise energy and quality of service in packet networks. In ICST E-Energy 2010, Athens, Greece, Oct. 14–15, 2010, pp. 163173.Google Scholar
131.Gelenbe, E., Mang, X. & Önvural, R. (1997). Bandwidth allocation and call admission control in high-speed networks. IEEE Communications Magazine 35(5): 122129.Google Scholar
132.Gelenbe, E., Mao, Z.-W. & Li, Y.-D. (1999). Function approximation with spiked random networks. IEEE Transactions on Neural Networks, 10(1): 39.Google Scholar
133.Gelenbe, E. & Marin, A. (2015). Interconnected wireless sensors with energy harvesting. In Proceedings of Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2015. Springer International Publishing.Google Scholar
134.Gelenbe, E. & Mitrani, I. (2010). Analysis and Synthesis of Computer Systems. World Scientific, Imperial College Press.Google Scholar
135.Gelenbe, E. & Morfopoulou, C. (2011). A framework for energy-aware routing in packet networks. The Computer Journal 54(6): 850859.Google Scholar
136.Gelenbe, E. & Morfopoulou, C. (2011). Routing and g-networks to optimise energy and quality of service in packet networks. In Hatziargyriou, N., Dimeas, A., Tomtsi, T. & Weidlich, A. (Eds.), Energy-Efficient Computing and Networking. Berlin, Heidelberg: Springer, pp. 163173.Google Scholar
137.Gelenbe, E. & Muntz, R.R. (1976). Probabilistic models of computer systems: Part i (exact results). Acta Informatica 7(1): 3560.Google Scholar
138.Gelenbe, E. & Ngai, E.C.H. (2008). Adaptive QoS routing for significant events in wireless sensor networks. In Fifth IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2008. MASS 2008, pp. 410415. IEEE.Google Scholar
139.Gelenbe, E. & Ngai, E.C.H. (2008). Adaptive random re-routing in sensor networks. In Proceedings of the Annual Conference of ITA (ACITA08) September 16, vol. 18, pp. 348349.Google Scholar
140.Gelenbe, E., Ngai, E.C.H. & Yadav, P. (2010.) Routing of high-priority packets in wireless sensor networks. IEEE Second International Conference on Computer and Network Technology, IEEE.Google Scholar
141.Gelenbe, E. & Núñez, A. (2003). Self-aware networks and quality of service. In Artificial Neural Networks and Neural Information Processing ICANN/ICONIP 2003. Berlin, Heidelberg: Springer, pp. 901908.Google Scholar
142.Gelenbe, E. & Oklander, B. (2013). Cognitive users with useful vacations. In Communications Workshops (ICC), 2013 IEEE International Conference on, pp. 370374. IEEE.Google Scholar
143.Gelenbe, E., Potier, D., Brandwajn, A. & Lenfant, J. (1973). Gestion optimale d'un ordinateur multiprogrammé à mémoire virtuelle. In Fifth Conference on Optimization Techniques Part II. Berlin, Heidelberg: Springer, pp. 132143.Google Scholar
144.Gelenbe, E. & Pujolle, G. (1976). The behaviour of a single-queue in a general queueing network. Acta Informatica 7: 123136.Google Scholar
145.Gelenbe, E. & Rosenberg, C. (1990). Queues with slowly varying arrival and service processes. Management Science 36(8): 928937.Google Scholar
146.Gelenbe, E. & Rossi, N. (1971). Uniform modular realizations and linear machines. IEEE Transactions on Computers 20(12): 16161617.Google Scholar
147.Gelenbe, E., Sakellari, G. & D'arienzo, M. (2008). Admission of qos aware users in a smart network. ACM Transactions on Autonomous and Adaptive Systems (TAAS) 3(1): 4.Google Scholar
148.Gelenbe, E., Sakellari, G. & Filippoupolitis, A. (2012). Pernem 2012: Second International Workshop on Pervasive Networks for Emergency Management 2012, committees and welcome. In Proceedings of PerCOM 2012.Google Scholar
149.Gelenbe, E., Sakellari, G. & Filippoupolitis, A. (2013). Pernem 2013: Third international workshop on pervasive networks for emergency management 2013-committees and welcome. In Procedings of PerCOM 2013.Google Scholar
150.Gelenbe, E., Seref, E. & Xu, Z. (2001). Simulation with learning agents. Proceedings of the IEEE 89(2): 148157.Google Scholar
151.Gelenbe, E. & Sevcik, K. (1979). Analysis of update synchronization for multiple copy data bases. IEEE Transactions on Computers 28(10): 737747.Google Scholar
152.Gelenbe, E. & Silvestri, S. (2009). Optimisation of power consumption in wired packet networks. In Bartolini, N., Nikoletseas, S., Sinha, P., Cardellini, V. & Mahanti, A. (Eds.), Quality of Service in Heterogeneous Networks. Berlin, Heidelberg: Springer, pp. 717729.Google Scholar
153.Gelenbe, E. & Silvestri, S. (2009). Reducing power consumption in wired networks. In 24th International Symposium on Computer and Information Sciences, 2009. ISCIS 2009, pp. 292297. IEEE.Google Scholar
154.Gelenbe, E., Srinivasan, V., Seshadri, S. & Gautam, N. (2001). Optimal policies for ATM cell scheduling and rejection. Telecommunication Systems 18(4): 331358.Google Scholar
155.Gelenbe, E. & Stafylopatis, A. (1991). Global behavior of homogeneous random neural systems. Applied Mathematical Modelling 15(10): 534541.Google Scholar
156.Gelenbe, E. & Stafylopatis, A. (1991). Global behaviour of homogenous random systems. Applied Mathematical Modelling 15(10): 534541.Google Scholar
157.Gelenbe, E., Sungur, M., Cramer, C. & Gelenbe, P. (1996). Traffic and video quality with adaptive neural compression. Multimedia Systems 4(6): 357369.Google Scholar
158.Gelenbe, E. & Timotheou, S. (2008). Random neural networks with synchronized interactions. Neural Computation 20(9): 23082324.Google Scholar
159.Gelenbe, E. & Timotheou, S. (2008). Synchronized interactions in spiked neuronal networks. The Computer Journal 51(6): 723730.Google Scholar
160.Gelenbe, E. & Wang, Y. (2006). A mathematical approach for mission planning and rehearsal. In Defense and Security Symposium. International Society for Optics and Photonics, pp. 62490Q62490Q.Google Scholar
161.Gelenbe, E. & Wang, Y. (2006). Modelling large scale autonomous systems. In Information Fusion, 2006 9th International Conference on, pp. 17. IEEE.Google Scholar
162.Gelenbe, E. & Wu, F.-J. (2012). Distributed networked emergency evacuation and rescue. In 2012 IEEE International Conference on Communications (ICC), pp. 63346338. IEEE.Google Scholar
163.Gelenbe, E. & Wu, F.-J. (2012). Large scale simulation for human evacuation and rescue. Computers & Mathematics with Applications 64(12): 38693880.Google Scholar
164.Gelenbe, E. & Wu, F.-J. (2012). Sensors in cyber-physical emergency systems. In IET Conference on Wireless Sensor Systems (WSS 2012). IEEE.Google Scholar
165.Gelenbe, E. & Wu, F.-J. (2013). Future research on cyber-physical emergency management systems. Future Internet 5(3): 336354.Google Scholar
166.Gelenbe, E., Xu, Z. & Seref, E. (1999). Cognitive packet networks. In 11th IEEE International Conference on Tools with Artificial Intelligence, 1999. Proceedings, pp. 4754. IEEE.Google Scholar
167.Gelenbe, E. & Zhu, Q. (2001). Adaptive control of pre-fetching. Performance Evaluation 46(2): 177192.Google Scholar
168.Gelenbe, S.E. (1967). Regular expressions and checking experiments. Polytechnic Institute of Brooklyn N.Y., Microwave Research Institute.Google Scholar
169.Görbil, G., Abdelrahman, O.H. & Gelenbe, E. (2014). Storms in mobile networks. In Mueller, P., Foschini, L. & Yu, R. (eds.), Q2SWinet'14, Proceedings of the Tenth ACM Symposium on QoS and Security for Wireless and Mobile Networks, Montreal, QC, Canada, September 21–22, 2014. New York: ACM, pp. 119126.Google Scholar
170.Gorbil, G., Abdelrahman, O.H., Pavloski, M. & Gelenbe, E. (2014). Storms in mobile networks. arXiv preprint arXiv:1411.1280.Google Scholar
171.Gorbil, G., Filippoupolitis, A. & Gelenbe, E. (2012). Intelligent navigation systems for building evacuation. In Gelenbe, E. & Lent, R. (Eds.), Computer and Information Sciences II. London: Springer, pp. 339345.Google Scholar
172.Görbil, G. & Gelenbe, E. (2010). Design of a mobile agent-based adaptive communication middleware for federations of critical infrastructure simulations. In Xenakis, C. & Wolthusen, S. (Eds.), Critical Information Infrastructures Security. Berlin, Heidelberg: Springer, pp. 3449.Google Scholar
173.Gorbil, G. & Gelenbe, E. (2011). Opportunistic communications for emergency support systems. Procedia Computer Science 5: 3947.Google Scholar
174.Hocaoglu, A.K., Gader, P.D., Gelenbe, E. & Kocak, T. (1999). Optimal linear combination of order statistics filters and their relationship to the delta-operator. In AeroSense'99. International Society for Optics and Photonics, pp. 13231329.Google Scholar
175.Kim, H., Lee, J.K. & Park, T. (2009). Inference of large-scale gene regulatory networks using regression-based network approach. Journal of Bioinformatics and Computational Biology 7(4): 717735.CrossRefGoogle ScholarPubMed
176.Kim, H., Atalay, R. & Gelenbe, E. (2011). G-network modelling based abnormal pathway detection in gene regulatory networks. In Gelenbe, E. & Lent, R. (Eds.), Computer and Information Sciences II. London and Berlin: Springer, pp. 257263.Google Scholar
177.Kim, H. & Gelenbe, E. (2010). Stochastic gene expression model base gene regulatory networks. In EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology, pp. 235244. Berlin, Heidelberg: Springer.Google Scholar
178.Kim, H. & Gelenbe, E. (2011). Reconstruction of large-scale gene regulatory networks using bayesian model averaging. In 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 202207. IEEE.CrossRefGoogle Scholar
179.Kim, H. & Gelenbe, E. (2012). Reconstruction of large-scale gene regulatory networks using bayesian model averaging. IEEE Transactions on NanoBioscience, 11(3): 259265.Google Scholar
180.Kim, H. & Gelenbe, E. (2012). Stochastic gene expression modeling with hill function for switch-like gene responses. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(4): 973979.Google Scholar
181.Kim, H. (2014). Modelling and analysis of gene regulatory networks based on the G-network. International Journal of Advanced Intelligence Paradigms 6(1): 2851.Google Scholar
182.Kim, H. & Gelenbe, E. (2011). G-networks based two layer stochastic modeling of gene regulatory networks with post-translational processes. Interdisciplinary Bio-Central 3, article no. 8. doi: 10.4051/ibc.2011.3.2.0008.Google Scholar
183.Kim, J. & Kim, H. (2008). Clustering of change patterns using Fourier coefficients. Bioinformatics 24(2): 184191.Google Scholar
184.Kim, H., Park, T. & Gelenbe, E. (2014). Identifying disease candidate genes via large-scale gene network analysis. International Journal of Data Mining and Bioinformatics 10(2): 175188.Google Scholar
185.Kokuti, A. & Gelenbe, E. (2014). Directional navigation improves opportunistic communication for emergencies. Sensors 14(8): 1538715399.Google Scholar
186.Lent, R., Abdelrahman, O.H., Gorbil, G. & Gelenbe, E. (2010). Fast message dissemination for emergency communications. In 2010 Eighth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 370375. IEEE.Google Scholar
187.Liu, P. & Gelenbe, E. (2007). Recursive routing in the cognitive packet network. In 3rd International Conference on Testbeds and Research Infrastructure for the Development of Networks and Communities, 2007. TridentCom 2007, pp. 16. IEEE, .Google Scholar
188.Marin, G.A., Mang, X., Gelenbe, E. & Onvural, R.O. (2001). Statistical call admission control. US Patent 6,222,824.Google Scholar
189.Ngai, E.C.H., Gelenbe, E. & Humber, G. (2009). Information-aware traffic reduction for wireless sensor networks. In IEEE 34th Conference onLocal Computer Networks, 2009. LCN 2009, pp. 451458. IEEE.Google Scholar
190.Oke, G., Loukas, G. & Gelenbe, E. (2007). Detecting denial of service attacks with bayesian classifiers and the random neural network. In IEEE International Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007, pp. 16. IEEE.Google Scholar
191.Oklander, B. & Gelenbe, E. (2013). Optimal behaviour of smart wireless users. In Gelenbe, E. & Lent, R. (Eds.), Information Sciences and Systems 2013. London and Berlin: Springer International Publishing, pp. 8795.Google Scholar
192.Ören, T.I., Numrich, S.K., Uhrmacher, A.M., Wilson, L.F. & Gelenbe, E. (2000). Agent-directed simulation: challenges to meet defense and civilian requirements. In Proceedings of the 32nd Conference on Winter simulation. Society for Computer Simulation International, pp. 17571762.Google Scholar
193.Pernici, B., Aiello, M., vom Brocke, J., Donnellan, B., Gelenbe, E. & Kretsis, M. (2012). What is can do for environmental sustainability: a report from caise2011 panel on green and sustainable is. Communications of the Association for Information Systems 30(1): 18.Google Scholar
194.Phan, H.T.T., Stemberg, M.J.E. & Gelenbe, E. (2012). Aligning protein–protein interaction networks using random neural networks. In 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 16. IEEE.Google Scholar
195.Potier, D., Gelenbe, E. & Lenfant, J. (1976). Adaptive allocation of central processing unit quanta. Journal of the ACM (JACM) 23(1): 97102.Google Scholar
196.Potier, D., Gelenbe, E. & Lenfant, J. (1976). Adaptive allocation of central processing unit quanta. ournal of ACM 23(1): 97102.Google Scholar
197.Sakellari, G. & Gelenbe, E. (2009). Adaptive resilience of the cognitive packet network in the presence of network worms. In Proceedings of the NATO Symposium on C3I for Crisis, Emergency and Consequence Management, pp. 1112.Google Scholar
198.Sakellari, G. & Gelenbe, E. (2010). A distributed admission control mechanism for multi-criteria qos. In 2010 IEEE GLOBECOM Workshops (GC Wkshps), pp. 19951999. IEEE.Google Scholar
199.Sakellari, G., Gelenbe, E. & D'Arienzo, M. (2007). Admission of packet flows in a self-aware network. In IEEE International Conference on Mobile Adhoc and Sensor Systems, 2007. MASS 2007, pp. 16. IEEE.Google Scholar
200.Sakellari, G., Hey, L. & Gelenbe, E. (2008). Adaptability and failure resilience of the cognitive packet network. DemoSession of the 27th IEEE Conference on Computer Communications (INFOCOM2008), Phoenix, Arizona, USA.Google Scholar
201.Sakellari, G., Morfopoulou, C., Mahmoodi, T. & Gelenbe, E. (2013). Using energy criteria to admit flows in a wired network. In Computer and Information Sciences III. London: Springer, pp. 6372.Google Scholar
202.Wang, L. & Gelenbe, E. (2014). An implementation of voice over ip in the cognitive packet network. In Czachórski, T., Gelenbe, E. & Lent, R. (Eds.), Information Sciences and Systems 2014. London and Berlin: Springer International Publishing, pp. 3340.Google Scholar
203.Witkowski, M., White, G., Louvieris, P., Gorbil, G., Gelenbe, E. & Dodd, L. (2008). High-level information fusion and mission planning in highly anisotropic threat spaces. In 2008 11th International Conference on Information Fusion, pp. 18. IEEE.Google Scholar
204.Yu, C.-M., Ni, G.-K., Chen, I.-Y., Gelenbe, E. & Kuo, S.-Y. (2014). Top-k query result completeness verification in tiered sensor networks. IEEE Transactions on Information Forensics and Security 9(1): 109124.Google Scholar
205.Zhu, Q., Gelenbe, E. & Qiao, Y. (2008). Adaptive prefetching algorithm in disk controllers. Performance Evaluation 65(5): 382395.Google Scholar