Power Systems & Stability
Grid stability, low-inertia operation, power-system analysis, resilience and intelligent monitoring.
Mathematical modeling, data-driven intelligence and engineering decision support for renewable-rich power networks.
Grid stability, low-inertia operation, power-system analysis, resilience and intelligent monitoring.
Photovoltaic systems, MPPT, distributed generation, microgrids and grid-connected renewable resources.
Machine learning, deep learning, forecasting, optimization and intelligent control.
Anomaly detection, multi-agent coordination, secure communication and resilient operation.
Scenario-based reliability, techno-economic assessment and sustainable infrastructure planning.
Probabilistic modeling, time-series analysis and data-driven renewable-generation assessment.
Modern energy systems need both physical understanding and adaptive intelligence. My research combines first-principles electrical models with machine learning and optimization so that intelligent methods remain grounded in system constraints.