Dr. Burhan Abdullah is a dedicated researcher specializing in Electrical and Renewable Energy Engineering, with expertise in artificial intelligence–driven optimization for photovoltaic (PV) systems, microgrids, and power quality enhancement. His research focuses on intelligent inverter control and maximum power point tracking (MPPT) techniques to maximize solar PV performance and improve grid integration efficiency. Dr. Burhan Abdullah interdisciplinary work bridges AI, machine learning, and sustainable energy systems to address challenges in renewable energy transition and climate change mitigation. He has contributed significantly to data-driven forecasting, hybrid optimization algorithms, and smart grid stability analysis. His publications in high-impact Q1 SCI-indexed journals such as Energies and Frontiers in Energy Research highlight his advancements in hybrid AI algorithms, incremental conductance control, and energy forecasting models. Beyond research, he actively engages in mentoring, scholarly writing, and peer reviewing for reputed journals including Springer Nature and Contemporary Mathematics. 40 citations indexed in Scopus across 6 documents and an h-index of 4, Dr. Burhan Abdullah’s contributions underscore his growing influence in intelligent renewable energy systems and sustainable power technologies.