Dr. Ammar Muthanna

My History & Profile

Prof. Ammar Muthanna (Senior Member, IEEE) received the B.Sc., M.Sc., and Ph.D., Dr.Sc. degrees from the Saint-Petersburg State University of Telecommunications, in 2009, 2011, 2016, and 2023 respectively. Dr. Ammar holds a Professor position at the Saint-Petersburg State University of Telecommunications. From 2017 to 2019, he was a Postdoctoral Researcher and from 2020 he is director of Scientific Center for Future Wireless Networks Modeling at RUDN University. He took part in the Erasmus Student Program at the Faculty of Electrical Engineering, University of Ljubljana, in 2012 and 2013, and was a Visitor Researcher at Tampere University, Finland, in 2014. He is an IEEE Senior Member and an ACM Professor Member. He has been an Active Member of the Technical Program Committee on many international conferences and journals, serving as Chair/Co-Chair of several Scopus conferences, he serves as an academic editor or associate editor for many indexed journals in the Web of Science (WoS) and Scopus. He is also an Editor of draft recommendations in ITU-T SG 11, SG 13, and SG 16. He is the Expert on the Judges Panel and the Challenge Management Board at AI-5G-Challenge, ITU, and Organizer of the Russian Host in 2020 and 2021 at Saint-Petersburg State University of Telecommunications. His research interests include wireless communications, 5G/6G cellular systems, artificial intelligence, High-density IoT, telepresence applications, edge/fog computing, and software-defined networking.

Education

Work Experience

Teaching & Research Supervision

Undergraduate courses: Ultra-dense networks, Simulation modeling of data transmission systems Postgraduate teaching: Internet of Things, wireless sensor networks, Cloud Computing Structures in Wireless Networks External examiner roles: Ph.D. thesis evaluation at Pune University, Ph.D Thesis evaluation at Anna University Postgraduate supervision: Abdukodir Khakimov, Malik Al-Sweiti, Alexander Speransky, Abbas Alzaghi

Conference organization

Technical Program Committee Co-chair of the 10th international congress' workshop on ultra modern telecommunications and control systems/ the 4th young researchers international conference on the internet of things and its enablers IoT and 5G, november 7, 2018, st.petersburg, Russia
Executive chairof The 4th international conference on future networks and distributed systems

Research Expertise, Publications & Grants

1) Ateya, A. A., Muthanna, A., Vybornova, A., Algarni, A. D., Abuarqoub, A., Koucheryavy, Y., & Koucheryavy, A. (2019). Chaotic salp swarm algorithm for SDN multi-controller networks. Engineering Science and Technology, an International Journal, 22(4), 1001–1012. https://doi.org/10.1016/j.jestch.2018.12.015

2) Ateya, A. A. A., Muthanna, A., Kirichek, R., Hammoudeh, M., & Koucheryavy, A. (2019). Energy- and Latency-Aware Hybrid Offloading Algorithm for UAVs. IEEE Access, 7, 37587–37600. https://doi.org/10.1109/ACCESS.2019.2905249

3) Muthanna, A.; A. Ateya, A.; Khakimov, A.; Gudkova, I.; Abuarqoub, A.; Samouylov, K.; Koucheryavy, A. Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain. J. Sens. Actuator Netw. 2019, 8, 15

4) Ateya, A.A.; Muthanna, A.; Vybornova, A.; Gudkova, I.; Gaidamaka, Y.; Abuarqoub, A.; Algarni, A.D.; Koucheryavy, A. Model Mediation to Overcome Light Limitations—Toward a Secure Tactile Internet System. J. Sens. Actuator Netw. 2019, 8, 6.

5) Ateya, Abdelhamied A., Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, and Abeer D. Algarni. 2019. “Latency and Energy-Efficient Multi-Hop Routing Protocol for Unmanned Aerial Vehicle Networks.” International Journal of Distributed Sensor Networks 15 (8). SAGE Publications Ltd. doi:10.1177/1550147719866392 .

6) Muthanna M.S.A., Wang P., Wei M., Ateya A.A., Muthanna A. Toward an ultra-low latency and energy efficient LORAWAN В сборнике: Internet of Things, Smart Spaces, and Next Generation Networks and Systems 2019. С. 233-242.

7) Mahmood O.A., Muthanna A., Paramonov A. data delivery algorithm for latency sensitive iot application В сборнике: Internet of Things, Smart Spaces, and Next Generation Networks and Systems 2019. С. 467-480 .

8) Manariyo S., Poluektov D., Khakimov A., Muthanna A., Makolkina M. Mobile edge computing for video application migration. В сборнике: Internet of Things, Smart Spaces, and Next Generation Networks and Systems 2019. С. 562-571.

9) Abdellah A.R., Muthanna A., Koucheryavy A. robust estimation of vanet performance-based robust neural networks learning В сборнике: Internet of Things, Smart Spaces, and Next Generation Networks and Systems 2019. С. 402-414.

10) Volkov A., Ateya A.A., Muthanna A., Koucheryavy A. novel AI-based scheme for traffic detection and recognition in 5G based networks. В сборнике: Internet of Things, Smart Spaces, and Next Generation Networks and Systems 2019. С. 243-255

11) Omar Abdulkareem Mahmood, Abdukodir Khakimov, Ammar Muthanna, Alexander Paramonov. Effect of Heterogeneous Traffic on Quality of Service in 5G Network. International Conference on Distributed Computer and Communication Networks 2019 pp. 469-478

12) Ateya A., Muthanna A., Gudkova I., Abuarqoub A., Vybornova A., Koucheryavy A.Development of Intelligent Core Network for Tactile Internet and Future Smart Systems . Journal of Sensor and Actuator Networks. 2018. Т. 7. № 1. С. 1.

13) Ateya, A. A., Muthanna, A., Vybornova, A., Darya, P., & Koucheryavy, A. (2018). Energy - Aware Offloading Algorithm for Multi-level Cloud Based 5G System. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11118 LNCS, pp. 355–370). Springer Verlag. https://doi.org/10.1007/978-3-030-01168-0_33

14) Manariyo, S., Khakimov, A., Pyatkina, D., & Muthanna, A. (2018). Optimization Algorithm for IPTV Video Service Delivery over SDN Using MEC Technology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11118 LNCS, pp. 419–427). Springer Verlag. https://doi.org/10.1007/978-3-030-01168-0_38

15) Muthanna, A., Ateya, A. A., Amelyanovich, A., Shpakov, M., Darya, P., & Makolkina, M. (2018). AR Enabled System for Cultural Heritage Monitoring and Preservation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11118 LNCS, pp. 560–571). Springer Verlag. https://doi.org/10.1007/978-3-030-01168-0_50

16) Makolkina, M., Muthanna, A., & Manariyo, S. (2017). Quality of experience estimation for video service delivery based on SDN core network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10531 LNCS, pp. 683–692). Springer Verlag. https://doi.org/10.1007/978-3-319-67380-6_65

17) Ateya, A. A., Muthanna, A., Vybornova, A., & Koucheryavy, A. (2017). Multi-level cluster based device-to-device (D2D) communication protocol for the base station failure situation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10531 LNCS, pp. 755–765). Springer Verlag. https://doi.org/10.1007/978-3-319-67380-6_71

18) Pirmagomedov, R., Blinnikov, M., Glushakov, R., Muthanna, A., Kirichek, R., & Koucheryavy, A. (2017). Dynamic data packaging protocol for real-time medical applications of nanonetworks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10531 LNCS, pp. 196–205). Springer Verlag. https://doi.org/10.1007/978-3-319-67380-6_18

19) Makolkina M., Muthanna A., Manariyo S.. Quality of Experience Estimation For Video Service Delivery Based on SDN Core Network. Lecture Notes in Computer Science (см. в книгах). 2017. 10531. Pp. 683-692

20) Volkov, A., Khakimov, A., Muthanna, A., Kirichek, R., Vladyko, A., & Koucheryavy, A. (2017). Interaction of the IoT traffic generated by a smart city segment with SDN core network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10372 LNCS, pp. 115–126). Springer Verlag. https://doi.org/10.1007/978-3-319-61382-6_10

21) Muhizi, S., Shamshin, G., Muthanna, A., Kirichek, R., Vladyko, A., & Koucheryavy, A. (2017). Analysis and performance evaluation of SDN queue model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10372 LNCS, pp. 26–37). Springer Verlag. https://doi.org/10.1007/978-3-319-61382-6_3