Mr. Rakhmon Saparbaev | Deep Learning | Research Excellence Award

Mr. Raxmon Saparbayev Komiljonovich is a telecommunications engineering researcher specializing in information transmission systems, network modeling, and signal processing. His work focuses on modeling virus propagation in telecommunication networks, LTE channel resource optimization, and FIR-based signal analysis using MATLAB. He has contributed to peer-reviewed journals and international conference proceedings, including IEEE and AIP publications, reflecting interdisciplinary expertise in IoT, electromagnetic systems, and network traffic analysis. His research integrates machine learning and simulation approaches to improve network reliability and performance. According to Scopus metrics, he has 3 indexed documents, 2 citations, and an h-index of 1, demonstrating emerging scholarly impact.