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Researcher
- Srikanth Yoginath
- James J Nutaro
- Pratishtha Shukla
- Sudip Seal
- Ali Passian
- Bruce Moyer
- Bryan Lim
- Femi Omitaomu
- Haowen Xu
- Harper Jordan
- Jeffrey Einkauf
- Jennifer M Pyles
- Joel Asiamah
- Joel Dawson
- Laetitia H Delmau
- Luke Sadergaski
- Nance Ericson
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Tomas Grejtak
- Varisara Tansakul
- Yiyu Wang

Ruthenium is recovered from used nuclear fuel in an oxidizing environment by depositing the volatile RuO4 species onto a polymeric substrate.

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.

Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.

We will develop an AI-powered autonomous software development pipeline to help urban scientists develop advanced research software (e.g., digital twins and cyberinfrastructure) to support smart city research and management without the need to write codes or know software engin