Early Academic Pursuits :

She embarked on her academic journey in the field of Electrical & Electronics Engineering. Graduating from Amrita School of Engineering in Bengaluru, her academic pursuits showcased a strong foundation in electrical sciences, laying the groundwork for her future endeavors in renewable energy systems.

Professional Endeavors :

Joining the Amrita School of Engineering in Bengaluru as an Assistant Professor in 2011, She has dedicated herself to educating and mentoring students while contributing significantly to the field. Her roles involve teaching core electrical engineering concepts and guiding students in research projects, emphasizing the integration of renewable energy sources into conventional systems.

Contributions and Research Focus :

Her research pursuits revolve around developing innovative solutions for hybrid energy conversion systems. Her ongoing Ph.D. work focuses on creating an aggregate wind-solar forecast model aimed at moderating the gap between energy generation and demand. This pioneering research aims to forecast weather conditions in remote areas, facilitating efficient energy reserve planning and optimization for sustainable power supply.

Accolades and Recognition :

Throughout her academic and professional journey,She has actively organized seminars and workshops, showcasing her commitment to knowledge dissemination. Notably, she organized sessions on LaTeX orientation, stress management, time management, communication, and situational awareness, enriching the academic environment.

Impact and Influence :

Her legacy lies in her dedicated efforts to bridge the gap between theoretical knowledge and practical application in the field of electrical engineering. Her future contributions aim to further the integration of renewable energy sources, ensuring sustainable and efficient energy systems for remote and rural areas, thereby leaving a lasting impact on the domain.

Legacy and Future Contributions :

Notable Publications :

• Simulation and analysis of incremental conductance and Perturb and Observe MPPT with DC-DC converter topology for PV array
• Classification of ECG signal using machine learning techniques
• Wind Speed Prediction Using Deep Learning-LSTM and GRU
• Wireless power transmission incorporating solar energy as source for motoring applications
• LSTM Based 24 hours Ahead Forecasting of Solar PV System for Standalone Household System
• Comparative study of Wind Speed Forecasting using Machine Learning
• Skin cancer detection using Machine Learning
• Multistep Ahead Solar Irradiance and Wind Speed Forecasting using Bayesian Optimized Long Short Term Memory
• Support Vector Machine based Short Term Solar Power Prediction