I am a dedicated and resourceful Tutorial Fellow with a proven track record of supporting academic and departmental initiatives. With a strong understanding of subject matter expertise, instructional strategies, and classroom management techniques, I create engaging learning environments that promote student success and foster academic growth.
I have a keen interest in Renewable Energy, Machine Learning, and Artificial Intelligence, and I actively seek opportunities to integrate these fields into my work and research.
Electrical Engineer
A Wind Power Forecasting Approach Based on Neural Networks and Data Decomposition Techniques -
The research leverages AI to perform Wind Power prediction to ensure efficient maximum wind power resource integration in the grid.