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Researcher
- Stephen M Killough
- Vincent Paquit
- Yaosuo Xue
- Akash Jag Prasad
- Bryan Maldonado Puente
- Calen Kimmell
- Canhai Lai
- Chris Tyler
- Clay Leach
- Corey Cooke
- Costas Tsouris
- Diana E Hun
- Fei Wang
- James Haley
- James Parks II
- Jaydeep Karandikar
- Nolan Hayes
- Peter Wang
- Phani Ratna Vanamali Marthi
- Philip Boudreaux
- Rafal Wojda
- Ryan Dehoff
- Ryan Kerekes
- Sally Ghanem
- Sreenivasa Jaldanki
- Suman Debnath
- Sunil Subedi
- Vladimir Orlyanchik
- Yonghao Gui
- Zackary Snow

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

Measurements of grid voltage and current are essential for the optimal operation of the grid protection and control (P&C) systems.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

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

Multi-terminal DC (MTdc) systems based on high-voltage DC (HVDC) transmission technology is an upcoming concept. In such systems, either asymmetric monopole or bi-pole systems are generally employed. Such systems are not suitable for easy expansion.

Stability performance of interconnected power grids plays crucial roles on their secure operation to prevent cascading failure and blackout.

Technologies directed to a multi-port autonomous reconfigurable solar power plant are described.

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).

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.