1. Contactless Electromagnetic Sensing Technologies

We develop high-sensitivity magnetic field–based sensing technologies for contactless current and system state measurement. These approaches enable monitoring without direct electrical contact, improving safety, deployability, and scalability in high-voltage and complex environments.

Research topics include:

• Magnetoresistive and spintronic sensor-based current measurement

• Contactless monitoring of high-voltage multi-phase, multi-core power cables

• Overhead transmission line monitoring

• Substation current and operational state sensing

• Array-based magnetic sensing architectures

These technologies form the foundation for pervasive sensing in next-generation energy systems.

2. Grid Monitoring, Resilience, and Situational Awareness

We investigate sensing-enabled architectures for enhanced grid observability and operational resilience.

Key themes include:

• Distributed sensing for smart grid infrastructure

• Wide-area monitoring and situational awareness

• Real-time data acquisition and anomaly detection

• Integration of sensing technologies with cyber-physical systems

• Support for resilient microgrids and adaptive grid architectures

Our work supports modernization of transmission, distribution, and community-scale energy systems.

3. Condition Monitoring of Electrical Machines and Energy Conversion Systems

We develop sensing-driven diagnostic methods for electrical machines and energy conversion systems operating in renewable and industrial environments.

Applications include:

• Fault detection in synchronous and induction machines

• Permanent magnet synchronous generator (PMSG) monitoring for wind systems

• Industrial motor condition monitoring

• Detection of incipient faults via stray magnetic field analysis

• Electric vehicle drive system sensing

Our work enables early fault detection, lifetime extension, and performance optimization of mission-critical rotating machinery.

4. Monitoring of Renewable Energy and Power Electronic Systems

Power electronic converters are central to renewable energy integration. We investigate non-intrusive monitoring approaches that enhance situational awareness and reliability of converter-based systems.

Key directions include:

• Condition monitoring of photovoltaic inverters

• Electrolytic capacitor health estimation via magnetic field sensing

• Diagnostics for converter-dominated microgrids

• Data-driven reliability assessment of renewable power systems

This theme supports resilient integration of renewable and distributed energy resources.

5. Data-Enabled and Cyber-Physical Energy Systems

Modern energy systems require tight integration of sensing, communication, and analytics. We investigate frameworks that combine physical measurements with data-driven intelligence and real-time validation.

Research directions include:

• Sensor fusion and machine learning for fault diagnosis

• Real-time simulation and hardware-in-the-loop validation

• Data-driven modeling of complex energy systems

• Integration of sensing platforms with IoT-enabled infrastructure

This theme bridges hardware innovation with intelligent system design.