prof. Sami Erol Gelenbe

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0000-0001-9688-2201

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profesor
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Publikacje
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2019

1. Nalin, M., I. Baroni, G. Faiella, M. Romano, F. Matrisciano, E. Gelenbe, and al.. et, "The European cross-border health data exchange roadmap: Case study in the Italian setting", Journal of Biomedical Informatics, vol. On line, 19 April 2019, 103183., 04/2019.
2. Gelenbe, E., and Y. Zhang, "Performance Optimization With Energy Packets", IEEE Systems Journal, 2019.
3. 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.

2018

4. Gelenbe, E., and Y. Murat Kadioglu, "Energy life-time of wireless nodes with network attacks and mitigation", 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018; Kansas City; United States, Kansas City, MO, USA , IEEE, 07/2018.
5. Brun, O., Y. Yin, and E. Gelenbe, "Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments", The 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops, Gran Canaria, Spain , Elsevier, 07/2018.
6. Domańska, J., E. Gelenbe, T. Czachórski, A. Drosou, and D. Tzovaras, "Research and innovation action for the security of the internet of things: The SerIoT project", Communications in Computer and Information Science, vol. 821, London, United Kingdom, Springer, pp. 101-118, 2018.
7. Brun, O., Y. Yin, E. Gelenbe, M. Y. Kadioglu, J. Augusto-Gonzalez, and M. Ramos, "Deep learning with dense random neural networks for detecting attacks against IoT-connected home environments", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
8. Staffa, M., L. Coppolino, L. Sgaglione, E. Gelenbe, I. Komnios, E. Grivas, O. Stan, and L. Castaldo, "KONFIDO: An OpenNCP-Based Secure eHealth Data Exchange System", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
9. Siavvas, M., E. Gelenbe, D. Kehagias, and D. Tzovaras, "Static Analysis-Based Approaches for Secure Software Development", 1st International Symposia on Computer and Information Sciences, ISCIS 2018, London, United Kingdom, Springer, 07/2018.
10. Czachórski, T., E. Gelenbe, M. Nowak, S. Nowak, J. Domańska, and al.. et, "IoT European Security and Privacy Projects: Integration, Architectures and Interoperability", Next Generation Internet of Things. Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation: River Publishers, pp. 207-292, 2018.
11. Gelenbe, E., J. Domańska, T. Czachórski, A. Drosou, and D. Tzovaras, "Security for Internet of Things: The SerIoT Project", 2018 International Symposium on Networks, Computers and Communications (ISNCC), Rome, Italy, IEEE, 2018.
12. Serrano, W.., and E. Gelenbe, "The Random Neural Network in a neurocomputing application for Web search", Neurocomputing, vol. 280, pp. 123-134 , 03/2018.
13. Wang, L.., and E. Gelenbe, "Adaptive Dispatching of Tasks in the Cloud", IEEE Transactions on Cloud Computing , vol. 6, issue 1, pp. 33-45 , 03/2018.
14. Staffa, M., L. Sgaglione, G. Mazzeo, L. Coppolino, S. D'Antonio, L. Romano, and E. Gelenbe, "An OpenNCP-based Solution for Secure eHealth Data Exchange", JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 116, pp. 65-85, 08/2018.
15. Kadioglu, Y. Murat, and E. Gelenbe, "Product-Form Solution for Cascade Networks With Intermittent Energy", IEEE Systems Journal, vol. PP, issue 99, pp. 1-10, 08/2018.

2017

16. Du, J.., E. Gelenbe, C.. Jiang, H.. Zhang, and Y.. Ren, "Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks", IEEE Journal on Selected Areas in Communications, vol. 35, pp. 2457-2467, Nov, 2017.
17. Yin, Y.., and E. Gelenbe, "Single-cell based random neural network for deep learning", 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, United States, May 14-19 2017., vol. 2017, Anchorage, United States, IEEE, pp. 86-93, 05/2017.
18. Yin, Y.., L.. Wang, and E. Gelenbe, "Multi-layer neural networks for quality of service oriented server-state classification in cloud servers", 2017 International Joint Conference on Neural Networks (IJCNN 2017), Anchorage, United States, May 14-19 2017., vol. 2017, Anchorage, United States, IEEE, pp. 1623-1627, 05/2017.
19. H. Jiang, L. F. W., RK.. Thulasiram, and E. Gelenbe, "Special Issue on Green Pervasive and Ubiquitous Systems", IEEE Systems Journal, vol. 11, issue 2, pp. 806-812, 06/2017.
20. Kadioglu, Y.M.., and E. Gelenbe, "Wireless sensor with data and Energy Packets", 2017 IEEE International Conference on Communications Workshops (ICC Workshops 2017), Paris, France, IEEE, 2017.
21. Pankratova, E.., M.. Farkhadov, and E. Gelenbe, "Research of Heterogeneous Queueing System SM|M(n)|∞", Communications in Computer and Information Science 16th International Conference, ITMM 2017, Kazan, Russian Federation, Springer, 2017.
22. Fourneau, J., and E. Gelenbe, "G-networks with Adders", Future Internet, vol. 9, issue 3, pp. 1-7, 07/2017.
23. Serrano, W.., and E. Gelenbe, "Intelligent search with deep learning clusters", Intelligent Systems Conference (IntelliSys) 2017, London, UK , IEEE , 03/2018, 2017.
24. Gelenbe, E., and Y. Yin, "Deep Learning with Dense Random Neural Networks", International Conference on Man–Machine Interactions, Kraków, Poland, Springer, Cham, 09/2017.
25. Serrano, W.., and E. Gelenbe, "The Deep Learning Random Neural Network with a Management Cluster", 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), Vilamoura, Portugal, Springer, Cham, 2017.

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