Muhammad Muradov is an Uzbek academic, telecommunications engineer, and researcher specializing in mobile communication networks, intelligent energy systems, Internet of Things (IoT), and artificial intelligence. He serves as an Associate Professor in the Department of Data Networks and Systems at Urgench State University named after Abu Raykhan Beruni, Uzbekistan. He completed his Bachelor of Science in Telecommunication Technologies in 2019 and Master of Science in Telecommunications Engineering in 2021 at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. He subsequently pursued doctoral studies in Technical Sciences at the same university from 2023 to 2025. His technical expertise includes wireless sensor networks, mobile communication systems, optical and fiber-optic communications, MATLAB and Simulink, remote monitoring and control systems, and scientific data analysis. He has also completed professional training in 5G mobile networks, IoT and embedded systems, network automation, and IoT communications.Muradov’s research focuses on developing models, methods, and algorithms for reliable and intelligent telecommunications infrastructure, particularly the energy supply, monitoring, and optimization of mobile communication base stations. His scholarly publications address sustainable energy sources for telecommunications infrastructure, routing methods in wireless sensor networks, uninterrupted power supply systems, supercapacitor-based energy storage, and IoT-enabled fire risk assessment. His interdisciplinary research also explores hybrid energy systems, renewable energy integration, intelligent energy management, and AI-driven predictive diagnostics for communication networks. Through his contributions to international IEEE and ACM conferences, he has advanced research at the intersection of telecommunications, energy efficiency, and emerging digital technologies. His academic and research background makes him well suited for academic research and peer review in Telecommunications Engineering, Mobile and Wireless Communication Networks, Wireless Sensor Networks, Internet of Things, Artificial Intelligence and Machine Learning, Network Automation, Optical Communications, Renewable Energy Systems, Intelligent Energy Management, Energy Storage Technologies, and Predictive Diagnostics of Telecommunication Systems.