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Researcher
- Vivek Sujan
- Omer Onar
- Adam Siekmann
- Erdem Asa
- Stephen M Killough
- Subho Mukherjee
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
- Hyeonsup Lim
- Isabelle Snyder
- Jason Jarnagin
- Kevin Spakes
- Lilian V Swann
- Mark Provo II
- Nolan Hayes
- Peter Wang
- Philip Boudreaux
- Rob Root
- Ryan Kerekes
- Sally Ghanem
- Sam Hollifield
- Shajjad Chowdhury

The ever-changing cellular communication landscape makes it difficult to identify, map, and localize commercial and private cellular base stations (PCBS).

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

This invention presents a multiport converter (MPC) based power supply to charge the 12 V and 24 V auxiliary batteries in heavy duty (HD) fuel cell (FC) electric vehicle (EV) power train.

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

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.