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Solar energy conversion and lighting technologies; Materials for solar energy conversion and storage; Wind energy conversion technologies; Wind energy measurement, forecasting, and storage; Smart grid conversion and distribution technologies; Electric power generation and storage; Smart grid architecture; Smart grid safety and security; Modeling, simulation and optimization of energy systems; Design and synthesis of energy conversion systems; Control, scheduling, planning, safety, risk analysis, and uncertainty in energy systems

The smart grid group concentrates on renewable energy resources, primarily solar cells and wind energy turbines. The group is focusing on: i) enhancing power quality for microgrid; ii) optimizing electromagnetic compatibility (EMC) of electronic devices in microgrid; iii) providing secure and robust data collection and exchange in microgrid; iv) design novel fault detection, protection, and control of microgrid; and v) designing a test bed for experimental validation. Presently, I am working  on anomaly detection in power system datasets using machine learning in RProgramming, encryption model using Python for SMART Meter data privacy, modeling and simulation of low-cost and high-efficiency solar cells for the microgrid, microgrid distribution power flow controller (DPFC) based on fuzzy and ANFIS techniques, optimization of power distribution system with microgrids using genetic algorithm,  and  HIF detection, recognition, and modeling in 11KV distribution system feeder with non-linear load.