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Researcher
- Vivek Sujan
- Kyle Gluesenkamp
- Adam Siekmann
- Omer Onar
- Srikanth Yoginath
- Subho Mukherjee
- Bo Shen
- Chad Steed
- Erdem Asa
- Isabelle Snyder
- James J Nutaro
- Junghoon Chae
- Melanie Moses-DeBusk Debusk
- Pratishtha Shukla
- Sudip Seal
- Travis Humble
- Ali Passian
- Annetta Burger
- Bryan Lim
- Carter Christopher
- Chance C Brown
- Debraj De
- Dhruba Deka
- Gautam Malviya Thakur
- Harper Jordan
- Hyeonsup Lim
- James Gaboardi
- James Manley
- Jesse McGaha
- Joel Asiamah
- Joel Dawson
- Kevin Sparks
- Liz McBride
- Nance Ericson
- Navin Kumar
- Pablo Moriano Salazar
- Peeyush Nandwana
- Rangasayee Kannan
- Samudra Dasgupta
- Shajjad Chowdhury
- Sreshtha Sinha Majumdar
- Todd Thomas
- Tomas Grejtak
- Tugba Turnaoglu
- Varisara Tansakul
- Xiaobing Liu
- Xiuling Nie
- Yeonshil Park
- Yifeng Hu
- Yiyu Wang

Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.

The growing demand for electric vehicles (EVs) has necessitated significant advancements in EV charging technologies to ensure efficient and reliable operation.

The growing demand for renewable energy sources has propelled the development of advanced power conversion systems, particularly in applications involving fuel cells.

The invention describes a configuration of dishwasher using thermoelectric heat pumps that can accomplish energy savings and enhanced drying performance.

This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&

Develop an innovative refrigerator having a thermoelectric cooler cascaded with a regular refrigerator compression system. the TE cooler dedicatedly controls the temperature in a freezer compartment.

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.