Dr. Gopinath Rajendiran

• Working on energy analytics of air handling units (AHU) and condition monitoring of AHU Fan’s using AI/machine learning algorithms. • Managing junior data scientists and data engineers, ensuring their alignment with project goals.

• Developing algorithms for condition monitoring of electrical motors using electrical and vibration signals in industrial environments. • Worked on artificial intelligence (AI) based anomaly detection system for smart energy meters.

• Worked on improving the performance of non-intrusive load monitoring (NILM) systems for monitoring the electrical utilities/loads in built environments for smart sustainable cities. • Fine-tuning and implementation of the machine learning/deep learning algorithms in hardware development boards for real time deployment of NILM device. • Implemented and studied the performance of the AI based NILM system in the field trails.

• Worked on monitoring the electrical utilities/loads using non-intrusive load monitoring (NILM) technique. • Developed machine learning algorithms to monitor the events and energy consumption of electrical loads. • Implemented machine learning algorithms in Hardware development board and tested the system in real-time scenarios.

Developed fault diagnostic system for predictive maintenance of electrical machines using machine learning algorithms.

I have worked on electromagnetic performance analysis of metamaterial based frequency selective surfaces for aerospace applications.

Condition monitoring electrical machines using machine learning algorithms