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Researcher
- Adam M Guss
- Isabelle Snyder
- Srikanth Yoginath
- Andrzej Nycz
- Biruk A Feyissa
- Carrie Eckert
- Chad Steed
- Emilio Piesciorovsky
- James J Nutaro
- Josh Michener
- Junghoon Chae
- Kuntal De
- Pratishtha Shukla
- Sudip Seal
- Travis Humble
- Udaya C Kalluri
- Vilmos Kertesz
- Xiaohan Yang
- Aaron Werth
- Aaron Wilson
- Adam Siekmann
- Alex Walters
- Ali Passian
- Ali Riza Ekti
- Austin Carroll
- Brian Sanders
- Bryan Lim
- Chris Masuo
- Clay Leach
- Daniel Jacobson
- Debjani Pal
- Elizabeth Piersall
- Eve Tsybina
- Gary Hahn
- Gerald Tuskan
- Harper Jordan
- Ilenne Del Valle Kessra
- Isaiah Dishner
- Jay D Huenemann
- Jeff Foster
- Jerry Parks
- Joanna Tannous
- Joel Asiamah
- Joel Dawson
- John F Cahill
- Kyle Davis
- Liangyu Qian
- Nance Ericson
- Nandhini Ashok
- Nils Stenvig
- Ozgur Alaca
- Pablo Moriano Salazar
- Paul Abraham
- Peeyush Nandwana
- Rangasayee Kannan
- Raymond Borges Hink
- Samudra Dasgupta
- Serena Chen
- Subho Mukherjee
- Tomas Grejtak
- Varisara Tansakul
- Vincent Paquit
- Viswadeep Lebakula
- Vivek Sujan
- Yang Liu
- Yarom Polsky
- Yasemin Kaygusuz
- Yiyu Wang

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.

By engineering the Serine Integrase Assisted Genome Engineering (SAGE) genetic toolkit in an industrial strain of Aspergillus niger, we have established its proof of principle for applicability in Eukaryotes.

We present a comprehensive muti-technique approach for systematic investigation of enzymes generated by wastewater Comamonas species with hitherto unknown functionality to wards the depolymerization of plastics into bioaccessible products for bacterial metabolism.

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.

Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality.

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.

The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.