Aws Jaber

Associate Professor, Postdoctoral Researcher, and Project Manager in Cybersecurity and AI at KTH Royal Institute of Technology, Sweden.

Who Am I?

I am Aws Jaber, a seasoned cybersecurity expert with a PhD in Information Security. My passion for safeguarding individuals and organizations from online threats has been honed through years of experience and a deep understanding of the latest technologies and best practices.

I previously served as Project Manager for the AINCEPTION EDF Project (AINCEPTION-EU) in Sweden, under the guidance of Professor Pontus Johnson and spearheaded by Prof. Rolf Stadler. Our mission included developing AI-driven tools for detecting and responding to security threats, identifying malicious behavior from network traffic and logs, understanding and contextualizing threats, generating risk and impact-aware response actions, and automating their execution and evaluation. We delivered a proof-of-concept end-to-end detection and response prototype, tested in real-world scenarios in Sweden. The project closed in November 2025.

Beyond AINCEPTION, I hold a Postdoctoral Researcher position at KTH’s Division of Network and Systems Engineering, specializing in cybersecurity and artificial intelligence. I also serve as an Associate Professor in Norway. My Google Scholar profile shows ~705 citations with an H-index of 12. I have industrial experience as a cybersecurity expert and project manager in Malaysia, UAE, and Sweden.

Research Interests

• Cybersecurity
• Artificial Intelligence
• Reinforcement Learning
• Graph Neural Networks
• Digital Twins
• Intrusion Detection and Prevention
• Persistent Threats Modeling

Publications (2023–2025, Online-Available)

• Mission-Aware Cyber Incident Response Generation Using Reinforcement Learning (2025) – A. Jaber, M. Endregard, F. Mancini, G. Grov. Proceedings 2025 International Conference on Military Communication and Information Systems (ICMCIS). Award: NATO IST-209/RSY Best Paper Award.
• A Comprehensive State-of-the-Art Review for Digital Twin: Cybersecurity Perspectives and Open Challenges (2025) – A. Jaber, I. Koufos, M. Christopoulou. Advances on P2P, Parallel, Grid, Cloud and Internet Computing: The 19th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2024).
• A Novel Approach to Automated Cybersecurity Response for Critical Infrastructures Using Graph Neural Networks and Reinforcement Learning (2025) – A. Jaber, M. Christopoulou, G. Colò. Lecture Notes on Data Engineering and Communications Technologies (Springer).
• CyberStack: Deep Reinforcement Learning in Stackelberg Games for Military Network Defense (2025) – A. Jaber et al. MILCOM 2025 – DEMOS.
• Stackelberg Security Game with Reinforcement Learning for Defending Video Servers Against APT Attacks (2025) – A. Jaber et al. ComManTel’25. Status: Accepted.
• Transforming Cybersecurity Dynamics: Enhanced Self-Play Reinforcement Learning in Intrusion Detection and Prevention System (2024) – A. Jaber. IEEE International Systems Conference (SysCon).
• An Overview of Artificial Intelligence Used in Malware (2023) – L. Fritsch, A. Jaber, A. Yazidi. Sniffer Analysis and the Metaverse (Springer).
• Towards AI-powered Cybersecurity Attack Modeling with Simulation Tools: Review of Attack Simulators (2023) – A. Jaber, L. Fritsch. International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

For full list: Google Scholar.

Professional Skills

My skills in cybersecurity and AI include programming languages, data analysis, machine learning algorithms, penetration testing, and implementing robust security measures for innovative solutions and secure networks.

Education

• PhD (2018): “A Classifier Mechanism for Host Based Intrusion Detection and Prevention System in Cloud Computing Environment” – Universiti Malaysia Pahang, supervised by Associate Prof. Mohamad Fadli Zolkipli.
• M.Sc (2012): “Improving the Efficiency of SIP Authentication Based on The Pre-Calculated Look-Up Table using ECC” – University of Science Malaysia, supervised by Associate Prof. Selvakumar Manickam.
• Bachelor of Science in Computer Science (2004) – Mustansiriyah University.

Experience

• Postdoctoral Researcher, KTH Royal Institute of Technology, Sweden (2023–Present). Supervisors: Profs. Rolf Stadler and Pontus Johnson.
• Project Manager, AINCEPTION EDF Project, Sweden (Closed November 2025).
• Associate Professor, Norway.
• Previous roles in cybersecurity and project management: Malaysia, UAE, Sweden.
• Teaching experience at institutes in Norway and Malaysia, including course development, lecturing, and supervision.

Collaborations

• Prof. Rolf Stadler (KTH)
• Prof. Pontus Johnson (KTH)
• AINCEPTION Project Partners (Sweden)
• Universiti Malaysia Pahang
• Universiti Malaysia Kelantan
• IEEE
• ASIS International
• Other co-authors: L. Fritsch, I. Koufos, M. Christopoulou, M. Endregard, F. Mancini, G. Grov, etc.

Online Activities & Awards

• NATO IST-209/RSY Best Paper Award for “Mission-Aware Cyber Incident Response Generation Using Reinforcement Learning” at ICMCIS 2025 (Oeiras, Portugal, May 13-14, 2025).
• Accepted paper at ComManTel’25: “Stackelberg Security Game with Reinforcement Learning for Defending Video Servers Against APT Attacks.”
• Demo at MILCOM 2025: “CyberStack: Deep Reinforcement Learning in Stackelberg Games for Military Network Defense.”
• Presented at 3PGCIC-2024: “A Comprehensive State-of-the-Art Review for Digital Twin: Cybersecurity Perspectives and Open Challenges” (San Benedetto del Tronto, Italy, November 13-15, 2024).
• Engaged in Nordic Pine 2025 Cybersecurity Exercise.
• Discussions on 2025 KTH Innovation Award via LinkedIn.
• LinkedIn: Posts on AI threat detection and projects.
• ORCID: Research outputs.
• KTH Profile.

Contact

• Email: awsj@kth.se
• LinkedIn: dr-aws-jaber
• Location: KTH, Stockholm, Sweden