Team
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Education
B.S. and M.S. in Power Engineering, Northeastern University, China, 2019
Ph.D. in Mechanical Engineering, Shanghai Jiao Tong University, China, 2023
Biography
Jintong is a postdoc researcher at Cornell University. He received his Ph.D. in Mechanical Engineering from Shanghai Jiao Tong University in December 2023. His doctoral research focused on sorption-based energy storage and solar desalination. Jintong’s work in solar desalination was recognized as the “Best Inventions of 2023” by TIME Magazine. Currently, he is working on synergetic production of green hydrogen and clean water.
Education
B.S. in Mechanical Engineering, Wuhan University, China, 2021
M.S. in Mechanical Engineering, Shanghai Jiao Tong University, China, 2024
Biography
Siyuan graduated with a B.S. in Mechanical Engineering from Wuhan University in 2021 and earned her master’s degree from Shanghai Jiao Tong University in 2024. Her research interests lie in the application of advanced materials and the exploration of underlying mechanisms through atomic simulation and characterization techniques. Currently, she is focusing on advanced optical and electron microscopy and spectroscopy to study fundamental gas adsorption and thermal transport phenomena.
Education
B.E. in Energy and Power Engineering, Wuhan University, China, 2020
M.S. in Mechanical Engineering, Cornell University, USA, 2024
Biography
Yipu graduated with a B.E. in Energy and Power Engineering from Wuhan University in 2020 and a M.S. in Mechanical Engineering from Cornell University in 2024. He is interested in heat/mass transfer and renewable energy, with applications focused on solar energy conversion, water desalination, and sustainability. Currently, he is developing high-performance passive cooling devices driven by salinity difference.
Education
B.S. in Mechanical Engineering, University of Cassino, Italy, 2019
M.S. in Energy Engineering, University of Padova, Italy, 2022
Ph.D. in Energy Engineering, University of Padova, Italy, on going
Biography
Antonio graduated with honors with an M.S. in Energy Engineering from the University of Padova and is currently a Ph.D. candidate in the Department of Industrial Engineering at the same institution. His research focuses on thermodynamics and heat and mass transfer, with a particular emphasis on dropwise condensation and thermodynamic systems for both ground and space applications. His expertise also extends to renewable energy technologies, refrigeration systems, and heat pump technologies. In his spare time, he enjoys cultivating his passion for music, photography, and hiking.
Education
B.Eng. in Mechanical Engineering, Chulalongkorn University, Thailand, 2019
Biography
Paranut is a Master of Science student at Cornell University on a scholarship from the Electricity Generating Authority of Thailand (EGAT). Before joining Cornell, he worked for three years as a mechanical engineer in EGAT’s Power Plant Engineering Division. With a keen interest in green hydrogen production and sustainable energy, he is currently focused on enhancing the efficiency of proton exchange membrane (PEM) electrolyzers. His research aims to improve the mass transport of water and gas bubbles within the porous transport layer, contributing to more energy-efficient hydrogen production.
Education
B.S.E. in Mechanical Engineering, Shanghai Jiao Tong University Joint Institute, China, 2024
B.S.E. in Engineering Physics, University of Michigan, USA, 2024
Biography
Sikai completed a dual-degree program at the University of Michigan and Shanghai Jiao Tong University in 2024. He is now pursuing a Master of Science degree in Cornell MAE. His research interests include heat transfer, nanoscale semiconductor applications, and MEMS. Currently, he is working on developing an electrical-thermal-mechanical model to quantify temperature rise and thermal stress during the operation of 2D electronics. This work could influence advancements in thermal management strategies for nanoscale devices, improving the reliability and efficiency of 2D electronic systems.
Education
B.S. in Engineering Mechanics, China University of Mining and Technology (Beijing), China, 2024
Biography
Suning joined Cornell University as an MS student in 2024, after earning his B.S. in Engineering Mechanics from China University of Mining and Technology (Beijing) the same year. Prior to joining the ERL, his research mainly focused on multiscale modeling for the thermal transport behavior and mechanical properties of woven composites. Currently, he is working on the modeling and simulation of electrochemical gas evolution reactions.
Education
B.S. in Mechanical Engineering, Cornell University, USA, 2024
Biography
Roman graduated with a B.S. in Mechanical Engineering from Cornell University in 2024 and is now in the process of an M.Eng in Mechanical Engineering. He is interested in fluid dynamics and thermodynamics, with a focus on cooling systems. Currently he is working on the design and assembly of a thermal vacuum chamber.
Education
B.S. in Theoretical and Applied Mechanics, Tsinghua University, China, 2026 (expected)
B.E. in Energy and Power Engineering, Tsinghua University, China, 2026 (expected)
UCEAP exchange program in Mechanical Engineering, University of California, Berkeley, USA, 2024
Biography
Kaiyu is a third-year undergraduate student at Tsinghua University, pursuing dual degrees in Theoretical and Applied Mechanics and Energy and Power Engineering. His academic interests lie in heat and mass transfer, fluid dynamics, and numerical simulation. Currently, he is investigating the electrochemical gas evolution processes using simulation techniques, aiming to provide deeper insights to enhance the efficiency of energy conversion systems.
Education
B.S. in Theoretical and Applied Mechanics, University of Science and Technology of China, China, 2025 (expected)
Biography
Yuyang is a visiting student from USTC. In his study at Cornell University, he focused on using machine learning to accelerate solving the forward and inverse problems of the radiative transfer equation. He has a great interest in computational fluid mechanics and AI for Science in his bachelor years. His current research includes using physics-informed neural networks to accelerate solving the governing equation and applying generative models to physical fields generation.