Abdussalam Salama PhD
Digital Innovation Fellow
Summary
Abdussalam has worked in a variety of areas oriented to practical and applied computer networks and wireless communications systems. He was working for Cisco Systems in the Telecom and ICT industry. He has completed his PhD in Wireless Networks in 2020 and after one year joined the University in 2021 as a researcher.
About
Abdussalam has worked in a variety of areas oriented to practical and applied computer networks. He has much experience in the Telecom and ICT industry with high expertise in business development; designing and implementing new digital solutions and improving resilience of the current environment. His applied research focuses on the communication networks quality of service and quality of user experience QoS/ QoE and on Artificial Intelligence techniques. His experiences particularly focus on wireless networks 4G/ 5G and Wi-Fi, Internet of Things (IoT), IP MPLS, network routing protocols, Cybersecurity and voice over IP (VoIP).
Education:
- PhD in Wireless Computer Networks QoS and QoE (SHU 2020).
- Master of Science in Telecommunication and Electronic Engineering (SHU 2015).
Professional institutions:
- Member of the Institute of Engineering and Technology (MIET);
- Fellow Higher Education Academy (FHEA).
Teaching
Department of Engineering and Mathematics
Business, Technology and Enterprise
Communication Systems and Computer Networks
Research
Current Projects:
Digital Innovation for Growth (Part of European Structural and Investment Funds Growth Programme)
Publications
Journal articles
Salama, A., & Saatchi, R. (2019). Evaluation of Wirelessly Transmitted Video Quality Using a Modular Fuzzy Logic System. Technologies, 7 (3), 67. http://doi.org/10.3390/technologies7030067
Salama, A., & Saatchi, R. (2018). Probabilistic classification of quality of service in wireless computer networks. ICT Express. http://doi.org/10.1016/j.icte.2018.09.001
Salama, A., Saatchi, R., & Burke, D. (2018). Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks. Technologies, 6(1) (24), 1-17. http://doi.org/10.3390/technologies6010024
Salama, A., Saatchi, R., & Burke, D. (2018). Fuzzy logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks. Technologies, 6 (1). http://doi.org/10.3390/technologies6010024
Salama, A., Saatchi, R., & Burke, D. (2017). Adaptive sampling for QoS traffic parameters using fuzzy system and regression model. International Journal of Mathematical Models and Methods in Applied Sciences, 11, 212-220. https://www.naun.org/main/NAUN/ijmmas/2017/a582001-abx.pdf
Conference papers
Saatchi, R., & Abdussalam, S. (2020). Quality of Service in IEEE 802.11ac and 802.11n Wireless Protocols with Applications in Medical Environments. Springer, Cham eBook Packages Engineering, 166 (166), 1345-1358. http://doi.org/10.1007/978-3-030-57745-2_111
Salama, A., Saatchi, R., & Burke, D. (2018). Adaptive sampling technique for computer network traffic parameters using a combination of fuzzy system and regression model. Journal of Association of Computing Machinary, 206-211. http://doi.org/10.1109/MCSI.2017.43
Salama, A., Saatchi, R., & Burke, D. (2018). Quality of Service Evaluation and Assessment Methods in Wireless Networks. In The 4th International Conference on Information and Communication Technologies for Disaster Management, Munster, Germany, 2017 - 2017. http://ict-dm2017.ercis.org/
Salama, A., Saatchi, R., & Burke, D. (2017). Adaptive sampling technique using regression modelling and fuzzy inference system for network traffic. In Cudd, P., & de Witte, L. (Eds.) http://www.aaate2017.eu/, Sheffield, UK, 11 September 2017 - 15 September 2017 (pp. 592-599). IOS Press: http://doi.org/10.3233/978-1-61499-798-6-592
Media
Computing