Ahmed Mohamed Hussain

Doctoral Researcher Networked Systems Security Group Department of Computing and Learning Systems KTH Royal Institute of Technology Stockholm, Sweden Address: Lindstedtsvägen 30 E-mail: ahmhus [at] kth [dot] se ResearchGate | Google Scholar | ORCID | Web of Science

About me

I am a Doctoral Researcher with the Networked Systems Security (NSS) Group at KTH Royal Institute of Technology. My research focuses on security and privacy in networked systems, particularly IoT security, wireless network security, and applying artificial intelligence to cybersecurity challenges.

Before joining KTH, I was a researcher at Qatar University, where I also completed my BSc in Computer Engineering in 2017. I received my MSc in Computer Science from Uppsala University in 2020.

My work has been recognized with the IWCMC 2024 Best Paper Award and WiMob 2025 Best Paper Award Runner-Up. Additionally, I serve as a reviewer for several top-tier journals and conferences.

Research Interests

• IoT Security and Privacy

• Wireless Network Security

• Artificial Intelligence (AI) for Cybersecurity

• Edge AI

• Physical Layer Security

• AI Trustworthiness

• Large Language Models

News

Selected Recent Publications

• K. Kalogiannis*, A. M. Hussain*, P. Papadimitratos. “PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks”. ACM Workshop on Wireless Security and Machine Learning (WiseML). July, 2026.

• S. Liu*, W. Liu*, A. Hussain*, P. Papadimitratos. “G²FL: Robust Federated Learning for GNSS Spoofing Detection”. IEEE International Conference on Communications Workshops (ICC Workshops) - Fifth Workshop on Machine Learning and Deep Learning for Wireless Security (MLDL Security). May, 2026.

• A. Hussain, J. Flores, P. Papadimitratos. “Deep Learning-based Cryptojacking Detection in Cloud Containerized Environments”. IEEE Middle East Conference on Communications and Networking (MECOM). November, 2025.

• A. Hussain and P. Papadimitratos. “Privacy-Enhanced Secure Neighbor Discovery for Wireless Networks”. IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). October, 2025.

• A. Hussain, N. Abughanam, P. Papadimitratos. “Towards a Lightweight Edge AI-based Radio Frequency Fingerprinting”. IEEE International Wireless Communications and Mobile Computing (IWCMC). May, 2025.

• A. M. Hussain and P. Papadimitratos. “Privacy-Preserving Secure Neighbor Discovery for Wireless Networks”. IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). December, 2024.

For a complete list of publications, please visit my publications page.