Ousama Albagul
Academic and research departments
Faculty of Engineering and Physical Sciences, School of Computer Science and Electronic Engineering, Institute for Communication Systems.About
A passionate researcher specialising in the intersection of Artificial Intelligence (AI), Machine Learning (ML), and Cyber security. Currently pursuing his doctoral studies at the Centre for Doctoral Training (CDT) in Future Open Secure Networks at the University of Surrey in joint with Queen’s University Belfast, Focusing on applying AI/ML to enhance cyber security in next-generation communication systems such as 5G/6G networks and the Internet of Things (IoT).
With a Bachelor of Science in Information Technology and Computer Science, his background spans key areas including programming, network security, communication systems, and secure system design.
His research aims to develop intelligent solutions for detecting and mitigating cyber threats, creating resilient network architectures, and advancing the security of modern digital infrastructures. By combining theoretical knowledge with practical applications, he strives to contribute to the future of secure, adaptive communication networks that can withstand the challenges of a rapidly evolving digital landscape.
My qualifications
Affiliations and memberships
ResearchResearch interests
- Artificial Intelligence (AI) and Machine Learning (ML): Leveraging AI and ML techniques to enhance cybersecurity measures, particularly in detecting, predicting, and mitigating cyber threats within complex network systems.
- Cyber Security: Focusing on securing next-generation networks (5G/6G) and the Internet of Things (IoT), including areas like encryption, intrusion detection systems, and privacy-preserving technologies.
- Secure Network Architectures: Developing resilient and adaptive network infrastructures that can withstand evolving cyber threats and ensure robust communication across future networks.
- AI-Driven Security Solutions: Exploring the use of AI-driven algorithms for real-time threat detection, automated responses, and decision-making in the context of secure network protocols.
Research interests
- Artificial Intelligence (AI) and Machine Learning (ML): Leveraging AI and ML techniques to enhance cybersecurity measures, particularly in detecting, predicting, and mitigating cyber threats within complex network systems.
- Cyber Security: Focusing on securing next-generation networks (5G/6G) and the Internet of Things (IoT), including areas like encryption, intrusion detection systems, and privacy-preserving technologies.
- Secure Network Architectures: Developing resilient and adaptive network infrastructures that can withstand evolving cyber threats and ensure robust communication across future networks.
- AI-Driven Security Solutions: Exploring the use of AI-driven algorithms for real-time threat detection, automated responses, and decision-making in the context of secure network protocols.