Journal Paper
LENS: Lightweight and Explainable LLM-Based APT Detection at the
Edge for 6G Security
SB Melhem, M Golec, A Alwarafy, Y Khamayseh
IEEE Access, Volume 13: 2025
Expected to be deployed in the early 2030s, sixth-generation
(6G) wireless networks, with their high speed and integration
with cutting-edge technology such as intelligent edge
computing...
Journal Paper
CRAXNet: Credit Rating via Advanced XGBoost and Neural Networks
Muhammed Golec, Maha AlabdulJalil
Kuwait Journal of Science - Elsevier, Volume
53, Issue 1, January 2026, 100490
This paper presents a new two-stage model CRAXNet for corporate
credit rating...
Journal Paper
EdgeAIBus: AI-driven joint container management and model
selection framework for heterogeneous edge computing
Babar Ali, Muhammed Golec, Sukhpal Singh Gill, Felix Cuadrado,
Steve Uhlig
IEEE Transactions on Parallel and Distributed Systems, VOL. 36, NO. 11, NOVEMBER 2025
Containerized Edge computing offers lightweight, reliable, and
quick solutions to latency-critical Machine Learning (ML) and
Deep Learning (DL) applications. Existing solutions considering
multiple Quality of Service (QoS) parameters either overlook the
intricate relation of QoS parameters or pose significant
scheduling overheads...
Journal Paper
Llm-driven apt detection for 6g wireless networks: A systematic
review and taxonomy
Abdulmalik Alwarafy, Muhammed Golec, Yaser Khamayseh, Suhib Bani
Melhem
IEEE Access, Volume: 13, 05 AUGUST 2025
Sixth Generation (6G) wireless networks, which are expected to
be deployed in the 2030s, have already created great excitement
in academia and the private sector with their extremely high
communication speed and low latency rates...
Book Chapter
Quantum computing at a glance
Muhammed Golec, Emir Sahin Hatay, Sukhpal Singh Gill, Ying Mao,
Rajkumar Buyya
Quantum Computing, Morgan Kaufmann, 2025
Quantum computing’s current capacity to efficiently tackle
complex problems exceeds that of traditional methods, as
demonstrated by its use in optimization and artificial
intelligence. This chapter explains the concept of quantum
computing, along with its differences from traditional
computing...
Journal Paper
Edge AI: A Taxonomy, Systematic Review and Future Directions
Co-Author 1, [Your Name]
Cluster Computing - Springer , Volume 28,
article number 18, (2025)
Edge Artificial Intelligence (AI) incorporates a network of
interconnected systems and devices that receive, cache, process,
and analyse data in close communication with the location where
the data is captured with AI technology. Recent advancements in
AI efficiency, the widespread use of Internet of Things (IoT)
devices, and the emergence of edge computing have unlocked the
enormous scope of Edge AI...