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Energy Sensing, Analytics and Communications

Leading sensing and communications breakthroughs for energy systems and security

The Energy Sensing, Analytics and Communications Section develops sensing and communications solutions through advanced sensor discovery/development, computational sensing and analytics. The section’s research is focused in five groups.

The Sensors and Controls Group designs, develops, tests and evaluates sensor devices and sensory systems for real-time situational awareness.

The RF & Intelligent Systems Group designs and develops advanced and intelligent systems utilizing radio frequency communications and machine learning for small electromagnetic signature systems.

The Energy Systems Analytics Group designs, develops, deploys and analyzes machine learning and decision science algorithms and techniques for energy applications.

The Multimodal Sensor Analytics Group conducts advanced research, design and development of algorithms and systems employing computational sensing approaches with images and signals.


Division Director - Electrification and Energy Infrastructures Division
Philip Bingham