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Researcher
- Rama K Vasudevan
- Sergei V Kalinin
- Yongtao Liu
- Amit K Naskar
- Kevin M Roccapriore
- Kyle Kelley
- Maxim A Ziatdinov
- Olga S Ovchinnikova
- Jaswinder Sharma
- Kashif Nawaz
- Logan Kearney
- Michael Toomey
- Nihal Kanbargi
- Stephen Jesse
- An-Ping Li
- Andrew Lupini
- Anton Ievlev
- Arit Das
- Arpan Biswas
- Benjamin L Doughty
- Bogdan Dryzhakov
- Brian Fricke
- Christopher Bowland
- Christopher Rouleau
- Costas Tsouris
- Debangshu Mukherjee
- Edgar Lara-Curzio
- Felix L Paulauskas
- Frederic Vautard
- Gerd Duscher
- Gs Jung
- Gyoung Gug Jang
- Holly Humphrey
- Hoyeon Jeon
- Huixin (anna) Jiang
- Ilia N Ivanov
- Ivan Vlassiouk
- Jamieson Brechtl
- Jewook Park
- Jong K Keum
- Kai Li
- Kyle Gluesenkamp
- Liam Collins
- Mahshid Ahmadi-Kalinina
- Marti Checa Nualart
- Md Inzamam Ul Haque
- Mina Yoon
- Neus Domingo Marimon
- Nickolay Lavrik
- Ondrej Dyck
- Radu Custelcean
- Robert E Norris Jr
- Saban Hus
- Sai Mani Prudhvi Valleti
- Santanu Roy
- Steven Randolph
- Sumit Gupta
- Sumner Harris
- Utkarsh Pratiush
- Uvinduni Premadasa
- Vera Bocharova
- Zhiming Gao

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.

The widespread use of inexpensive salt hydrate-based phase change materials, or PCMs, has been prevented by a key technical challenge: phase separation, also known as incongruency, which results in the significant degradation of the materials' ability to store thermal energy o

This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.

This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
Aromas play a significant role in the quality and safety of food, beverages, and even manufactured products. The ability to detect and interpret these aromas accurately can enhance product safety and consumer satisfaction.