Recent research:
This researcher’s work centers on advancing power systems stability, reliability, and efficiency through advanced control, optimization, and data-driven techniques. Across publications, the core focus is on mitigating transient and subsynchronous oscillations, enhancing voltage stability, and reducing losses in transmission and distribution networks. Methodologies frequently combine equipment-based solutions (STATCOMs, SVCs, D-STATCOM, SSSC), advanced modulation and control schemes (SHE-PWM, SVPWM, HHT, EMD, neural networks), and optimization frameworks (MILP, GA, PSO, DNNs, hyper-heuristics) with real-time or near-real-time considerations. Several works emphasize practical applicability: benchmarking on IEEE test systems (14, 30, 33, 39, 118 buses), integration with SCADA/IoT contexts, and alignment with standards for power quality (IEEE 1159, IEC flicker). The impact lies in improved voltage profiles, reduced harmonic distortion, enhanced resilience against contingencies, and decision-support tools for planning and operation in smart grids and renewable-dominated networks. Research also extends to data analytics, forecasting, and bibliometric analyses to guide policy and research directions. Overall, the profile reflects a rigorous, multidisciplinary approach to modern electric power infrastructure with significant emphasis on reliability, quality of supply, and intelligent control.

Key Topics:

• Power Systems, Renewable Energy & Microgrids
• Control Systems, Automation & Industrial Control (SCADA/PLC)
• Optimization, Operations Research & Decision Support
• Smart Grids, IoT, Edge/Fog & Industry 4.0
• Artificial Intelligence, Machine Learning & Data Science
• Standards, Validation, Benchmarks & Measurement Best-Practice