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Researcher
- Vivek Sujan
- Omer Onar
- William Carter
- Adam Siekmann
- Alex Roschli
- Andrzej Nycz
- Brian Post
- Chris Masuo
- Erdem Asa
- Luke Meyer
- Subho Mukherjee
- Adam Stevens
- Alex Walters
- Amy Elliott
- Cameron Adkins
- Daniel Jacobson
- Erin Webb
- Evin Carter
- Hyeonsup Lim
- Isabelle Snyder
- Isha Bhandari
- Jeremy Malmstead
- Joshua Vaughan
- Kitty K Mccracken
- Liam White
- Michael Borish
- Oluwafemi Oyedeji
- Peter Wang
- Rangasayee Kannan
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Shajjad Chowdhury
- Soydan Ozcan
- Sudarsanam Babu
- Tyler Smith
- William Peter
- Xianhui Zhao
- Yukinori Yamamoto

Mechanism-Based Biological Inference via Multiplex Networks, AI Agents and Cross-Species Translation
This invention provides a platform that uses AI agents and biological networks to uncover and interpret disease-relevant biological mechanisms.

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.

The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.

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.

This invention presents an integrated strategy to reduce end-user electricity costs and grid carbon emissions by efficiently utilizing Distributed Energy Resources (DER) and grid-scale electrical energy storage systems, such as batteries.

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.