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Researcher
- Soydan Ozcan
- Halil Tekinalp
- Meghan Lamm
- Rama K Vasudevan
- Vlastimil Kunc
- Ahmed Hassen
- Sergei V Kalinin
- Umesh N MARATHE
- Yongtao Liu
- Dan Coughlin
- Katie Copenhaver
- Kevin M Roccapriore
- Maxim A Ziatdinov
- Steven Guzorek
- Uday Vaidya
- Vipin Kumar
- Alex Roschli
- Beth L Armstrong
- David Nuttall
- Georges Chahine
- Kyle Kelley
- Matt Korey
- Nadim Hmeidat
- Pum Kim
- Sanjita Wasti
- Steve Bullock
- Tyler Smith
- Xianhui Zhao
- Adwoa Owusu
- Akash Phadatare
- Amber Hubbard
- Anton Ievlev
- Arpan Biswas
- Ben Lamm
- Brian Post
- Brittany Rodriguez
- Cait Clarkson
- Erin Webb
- Evin Carter
- Gabriel Veith
- Gerd Duscher
- Jeremy Malmstead
- Jesse Heineman
- Jim Tobin
- Josh Crabtree
- Khryslyn G Araño
- Kim Sitzlar
- Kitty K Mccracken
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marm Dixit
- Marti Checa Nualart
- Neus Domingo Marimon
- Olga S Ovchinnikova
- Oluwafemi Oyedeji
- Paritosh Mhatre
- Sai Mani Prudhvi Valleti
- Sana Elyas
- Segun Isaac Talabi
- Shajjad Chowdhury
- Stephen Jesse
- Subhabrata Saha
- Sumner Harris
- Tolga Aytug
- Utkarsh Pratiush

Important of the application is enabling a cost-effective precision manufacturing method Current technology is limited to injection molded individual pi-joints limiting control of pi-joint direction, this creates hurdle in introducing high volume production to the composite in

This invention demonstrates the strong potential for hybridization of CNF with natural fibers for facile drying and inclusion of the CNF into polymer matrices for high performance composites.

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.