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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Sam Hollifield
- Chad Steed
- Junghoon Chae
- Kyle Kelley
- Mingyan Li
- Travis Humble
- Aaron Werth
- Ali Passian
- Anton Ievlev
- Arpan Biswas
- Brian Weber
- Emilio Piesciorovsky
- Gary Hahn
- Gerd Duscher
- Harper Jordan
- Isaac Sikkema
- Jason Jarnagin
- Joel Asiamah
- Joel Dawson
- Joseph Olatt
- Kevin Spakes
- Kunal Mondal
- Liam Collins
- Lilian V Swann
- Luke Koch
- Mahim Mathur
- Mahshid Ahmadi-Kalinina
- Mark Provo II
- Marti Checa Nualart
- Mary A Adkisson
- Nance Ericson
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oscar Martinez
- Raymond Borges Hink
- Rob Root
- Sai Mani Prudhvi Valleti
- Samudra Dasgupta
- Srikanth Yoginath
- Stephen Jesse
- Sumner Harris
- T Oesch
- Utkarsh Pratiush
- Varisara Tansakul
- Yarom Polsky

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

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.