I am a multidisciplinary PhD researcher with a core focus on Self-Organizing Networks (SON) in 5G and beyond, particularly in the optimization of mobility management, handover parameters, and radio resource configurations using AI/ML techniques. My research integrates advanced methods such as reinforcement learning, fuzzy logic control, and supervised learning, with simulation-based validation in MATLAB. I explore performance metrics including SINR, RSRP, HOPP, RLF, and others to address challenges like coverage holes, interference, and handover inefficiencies. In addition to my primary work in wireless communication systems, I actively contribute to cross-disciplinary domains. I recently published a systematic literature review on AI and deep learning techniques in waste classification, highlighting the application of CNN-based architectures and transfer learning models in environmental sustainability. This reflects my broader interest in applying intelligent systems to real-world problems across engineering and environmental domains. I am committed to producing impactful research through collaborative efforts, data-driven analysis, and academic publishing across both communications and sustainable AI technologies.