prof. Erol Gelenbe

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0000-0001-9688-2201

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2022

51. 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.

2021

52. 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)
53. 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)
54. Filus, K., J. Domańska, and E. Gelenbe, "Random Neural Network for Lightweight Attack Detection in the IoT", MASCOTS 2020: Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, vol. 12527: Springer International Publishing, pp. 79-91, 2021.  (336.06 KB)
55. Filus, K., P. Boryszko, J. Domańska, M. Siavvas, and E. Gelenbe, "Efficient Feature Selection for Static Analysis Vulnerability Prediction", Sensors, vol. 21 (4), issue Special Issue: Security and Privacy in Software Based Critical Contexts, 2021.  (1.37 MB)
56. Czachórski, T., E. Gelenbe, G. Suila Kuaban, and D. Marek, "Time-Dependent Performance of a Multi-Hop Software Defined Network", Applied Sciences, vol. 11, issue 2469, 03/2021.  (1.25 MB)
57. Kehagias, D., M. Jankovic, M. Siavvas, and E. Gelenbe, "Investigating the Interaction between Energy Consumption, Quality of Service, Reliability, Security, and Maintainability of Computer Systems and Networks", SN Computer Science , vol. 2, issue 1, 2021.  (981.91 KB)
58. Gelenbe, E., and M. Siavvas, "Minimizing Energy and Computation in Long-Running Software", Applied Sciences, vol. 11, issue 3, 2021.  (853.84 KB)
59. Gelenbe, E., G. Brasseur, L. Cheffneux, V. Dehant, V. Halloin, J-P. Haton, M. Judkiewicz, B. Rentier, and R. Weikmans, "Réflexions sur la diffusion des connaissances a travers les grands colloques internationaux, les revues scientifiques, et la communication libre et rapide entre chercheurs et innovateurs dans un contexte de reduction de l'empreinte climatique", 1024, Bulletin de la Société Informatique de France, vol. 17, issue 1, 04/2021.  (706.87 KB)
60. 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)
61. Gelenbe, E., "Renforcer la place des universités européennes dans le concert mondial", Revue des Electriciens et Electroniciens, vol. 2, 2021.  (2.09 MB)
62. 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)
63. Gelenbe, E., "NOBEL PRIZE 50 YEARS AGO", Europhysics News , vol. 52, issue 5, 2021.  (334.02 KB)
64. 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)
65. 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)
66. Fröhlich, P., E. Gelenbe, and M. Nowak, "Reinforcement Learning and Energy-Aware Routing", ACM 4th FlexNets'21 Workshop, ACM SIGCOMM 2021: ACM, 2021.
67. 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)
68. 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)
69. 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)

2020

70. 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)
71. 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)
72. Serrano, W., and E. Gelenbe, "Deep Learning Clusters in the Cognitive Packet Network", Neurocomputing, vol. 396, 07/2020.  (4.6 MB)
73. 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)
74. Thampi, S. M., E. Gelenbe, M. Atiquzzaman, V. Chaudhary, and K-C. Li, Advances in Computing and Network Communications, vol. 1: Springer, 2020.
75. 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)

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Data aktualizacji: 07/02/2025 - 12:11; autor zmian: Dorota Danisz (ddanisz@iitis.pl)