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Researcher
- Isabelle Snyder
- Emilio Piesciorovsky
- Stephen M Killough
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Ali Riza Ekti
- Bryan Maldonado Puente
- Christopher Rouleau
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- Eve Tsybina
- Gary Hahn
- Gs Jung
- Gyoung Gug Jang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jong K Keum
- Mina Yoon
- Nils Stenvig
- Nolan Hayes
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- Peter Wang
- Philip Boudreaux
- Radu Custelcean
- Raymond Borges Hink
- Ryan Kerekes
- Sally Ghanem
- Subho Mukherjee
- Viswadeep Lebakula
- Vivek Sujan
- Yarom Polsky

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

Water heaters and heating, ventilation, and air conditioning (HVAC) systems collectively consume about 58% of home energy use.

This technology is a laser-based heating unit that offers rapid heating profiles on a research scale with minimal incidental heating of materials processing environments.

This disclosure introduces an innovative tool that capitalizes on historical data concerning the carbon intensity of the grid, distinct to each electric zone.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Electrical utility substations are wired with intelligent electronic devices (IEDs), such as protective relays, power meters, and communication switches.

A novel molecular sorbent system for low energy CO2 regeneration is developed by employing CO2-responsive molecules and salt in aqueous media where a precipitating CO2--salt fractal network is formed, resulting in solid-phase formation and sedimentation.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).