An Experimental Comparison Between Centralized and Distributed Testbeds for 5G-based Networks. - Mohammad Kazem Chamran; Kok-Lim Alvin Yau (ICTC, 2019)

A Distributed Testbed for 5G Scenarios: An Experimental Study. - Mohammad Kazem Chamran; Kok-Lim Alvin Yau; Rafidah Md. Noor; Richard Wong (Sensors, 2020)

A Hybrid Route Selection Scheme for 5G Network Scenarios: An Experimental Approach. - Mohammad Kazem Chamran; Kok-Lim Alvin Yau; Mee Hong Ling; Yung-Wey Chong (Sensors, 2022)

5G and IoT for Intelligent Healthcare: AI and Machine Learning Approaches - A Review. - Hira Akhtar Butt; Abdul Ahad; Muhammad Wasim; Filipe Madeira; M. Kazem Chamran (GOODTECHS, 2023)

Energy-efficient joint resource allocation in 5G HetNet using Multi-Agent Parameterized Deep Reinforcement learning. - Amna Mughees; Mohammad Tahir; Muhammad Aman Sheikh; Angela Amphawan; Kian Meng Yap; Abdul Ahad; M. Kazem Chamran (Phys. Commun., 2023)

An Optimization on 2D-SLAM Map Construction Algorithm Based on LiDAR. - Zhuoran Li; Mohammad Kazem Chamran; Mustafa Muwafak Alobaedy; Muhammad Aman Sheikh; Mohammad Tahir; Abdul Ahad (J. Intell. Robotic Syst., 2024)

An AI-Enabled Centralized Monitoring System to Predict SME Inventory Level. - M. Kazem Chamran; Nariman Fouladinezhad; Feras Fathi Albdiwy (ICCAE, 2025)

Combinations of generative adversarial network and reinforcement learning: A survey. - Kok-Lim Alvin Yau; Yung-Wey Chong; Xiumei Fan; Faranak Nejati; Mohammad Kazem Chamran; Shalini Darmaraju (Neurocomputing, 2025)