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Researcher
- Omer Onar
- Subho Mukherjee
- Vandana Rallabandi
- Vivek Sujan
- Mostak Mohammad
- Shajjad Chowdhury
- Burak Ozpineci
- Erdem Asa
- Gui-Jia Su
- Jon Wilkins
- Emrullah Aydin
- Veda Prakash Galigekere
- Adam Siekmann
- Gurneesh Jatana
- Jonathan Willocks
- Rafal Wojda
- Todd Toops
- Yeonshil Park
- Alexander I Wiechert
- Alexey Serov
- Ali Riza Ekti
- Benjamin Manard
- Ben Lamm
- Beth L Armstrong
- Charles F Weber
- Costas Tsouris
- Dhruba Deka
- Diana E Hun
- Gina Accawi
- Haiying Chen
- Himel Barua
- Hongbin Sun
- Hong Wang
- Hyeonsup Lim
- Isabelle Snyder
- James Szybist
- Joanna Mcfarlane
- Lingxiao Xue
- Mark M Root
- Matt Vick
- Meghan Lamm
- Melanie Moses-DeBusk Debusk
- Pedro Ribeiro
- Philip Boudreaux
- Praveen Cheekatamarla
- Praveen Kumar
- Singanallur Venkatakrishnan
- Sreshtha Sinha Majumdar
- Tolga Aytug
- Vishaldeep Sharma
- William P Partridge Jr
- Xiang Lyu

There is a strong drive to improve the electrical performance of a power module for power electronics applications including transportation, buildings, renewables, and power delivery.

This invention proposes a Honeycomb-DD coupling structure that addresses the shortcomings of the conventional honeycomb coil array and gathering the advantage of DD and honeycomb designs advantages in a single design.

Wireless charging systems need to operate at high frequency, at or near resonance, to maximize power transfer distance and efficiency. High voltages appear across the inductors and capacitors. The use of discrete components reduces efficiency, increases system complexity.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

The described concept provides a predictive technology solution to increase the safety of platooning vehicles.