Dr Abdussalam Salama PhD
Lecturer Cyber Security and Computer Networks
Summary
Dr Abdussalam Salama completed his PhD in computer and communication networks in 2020, he joined the University in 2021 as a research fellow at the department of Engineering and Maths in digital innovation for growth project which support local SMBs in their digital transformation. Now he is a lecturer in computer networks and cyber security in Computing department. His main teaching focus in wired/wireless networks and cyber security.
His research focuses on network security, network QoS, IoT security, cloud computing, and cloud security.
About
Dr Abdussalam Salama is a lecturer in Computer networks and cyber security.
Dr Salama has several years of experience in industry, he was senior systems engineer at Cisco Systems, focus on identify and engage appropriate pre- and post-sales support resources. Develop the technical response to RFPs or the technical elements or approaches for the network solutions proposal. Deliver Cisco training to partners and customers. Implemented routing protocols, voice over IP (VoIP), network security, intrusion detection and prevention systems IDS/IPS, firewalls.
Dr Salama has working experience in mobile operator and Internet Service Provider (ISP) as a senior planning engineer, his focus was design and implement network transition from TDM to IP-MPLS, Voice over IP and network Quality of service QoS.
Since returning to academia, he has worked as a research fellow on large scale EU funded project, serve as a digital innovation fellow, provide industrial consultancy and academic collaborations for SMBs, manage multiple projects from inception to successful completion.
He is a fellow of HEA, UK and hold many network and security certificates such as CCNP and CCSP.
Education/Qualifications
• PhD in Computer and Communication Networks | Sheffield Hallam University (2020), Research title ‘Hybrid computer network quality of service and experience: development and evaluation.’
• Master of Science in Telecommunication and Electronic Engineering | Sheffield Hallam University, (2015), MSc Project ‘Evaluate VoIP over new 802.11ac wireless networks considering different MIMO approaches.’
• Bachelor of Science in Electrical and Electronic Engineering | University of Tripoli (2001), BSc Project ‘Enhanced channel coding/ modulation schemes in telecommunication systems.’
Professional Memberships
Member of the Institute of Engineering and Technology (MIET).
Fellow Higher Education Academy (FHEA).
Teaching
School of Computing and Digital Technologies
College of Business, Technology and Engineering
Department of Engineering and Mathematics
Business, Technology and Enterprise
Communication Systems and Computer Networks
Subject area:
- QoS and Security in wireless and sensor Networks
- Privacy and Security of Autonomous Systems
- Smart IoT and Security
- Cloud security
Modules taught:
- Computer Systems and networks
- Network security
- Enterprise networks
- Enterprise network project
- Communication systems and computer networks
- Research Principles and Practice
Research
Specialist areas of interest:
QoS and Security in wireless and sensor Networks
Privacy and Security of Autonomous Systems
Smart IoT and Security
Cloud computing security
Publications
Journals
● Salama, Abdussalam, and Reza Saatchi. “Quality of Service in IEEE 802.11 ac and 802.11 n Wireless Protocols with Applications in Medical Environments.” In Advances in Asset Management & Condition Monitoring. Springer, Cham, 2020.
● Salama, Abdussalam, and Reza Saatchi. “Quality of Service in IEEE 802.11 ac and 802.11 n Wireless Protocols with Applications in Medical Environments.” In Advances in Asset Management & Condition Monitoring. Springer, Cham, 2020.
● Salama, Abdussalam, and Reza Saatchi. “Evaluation of Wirelessly Transmitted Video Quality Using a Modular Fuzzy Logic System.” Technologies 7.3 (2019): 67.
● Salama, Abdussalam, and Reza Saatchi. “Probabilistic classification of quality of service in wireless computer Networks” ICT Express 5.3 (2018): 155-162.
Conferences
● Salama, Abdussalam, Reza Saatchi, and Derek Burke. “Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks.” Technologies 6.1 (2018): 24.
● Salama, Abdussalam, Reza Saatchi, and Derek Burke. “Adaptive sampling for QoS traffic parameters using fuzzy system and regression model.” Mathematical Models and Methods in Applied Sciences (2017).
● Salama, Abdussalam, Reza Saatchi, and Derek Burke. “Quality of service evaluation and assessment methods in wireless networks.” In 2017 4th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). Münster, Germany. IEEE, 2017.
● Salama, Abdussalam, Reza Saatchi, and Derek Burke. “Adaptive sampling technique for computer network traffic parameters using a combination of fuzzy system and regression model.” In 2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI). Corfu, Greece. IEEE, 2017.
● Salama, Abdussalam, and Reza Saatchi. “Quality of Service in IEEE 802.11ac and 802.11n Wireless Protocols with Applications in Medical Environments (eHealth).” The 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management. Huddersfield, United Kingdom, 2019.
Chapter in a book
● Salama, Abdussalam, Reza Saatchi, and Derek Burke. “Adaptive sampling technique using regression modelling and fuzzy inference system for network traffic.” In: CUDD, Peter and DE WITTE, Luc, (eds.) Harnessing the power of technology to improve lives. Studies in Health Technology and Informatics (242). IOS Press, 592-599. 2017.
2020-2023: Digital Innovation for Growth, DIfG support SMEs in the region to improve their processes or grow their businesses using digital technology.
https://www.shu.ac.uk/business/support/start-ups-smes/digital-innovation-for-growth
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