Youngjoon Suh
Assistant Professor
Department of Mechanical and Industrial Engineering
Contact
Building & Room:
3037 ERF
Address:
842 West Taylor Street, MC 251, Chicago, IL 60607
Office Phone:
Email:
Related Sites:
About
Research Interests: Dr. Suh’s research intersects the multidisciplinary fields of thermal-fluid sciences, interfacial and transport physics, and renewable energy, centering on keywords – machine learning, data-driven science, and computer vision. His research aims to bring transformational efficiency enhancements in energy, water, and thermal management by fundamentally manipulating heat-fluid-surface interactions across multiple length and time scales.
Selected Publications
Suh, Y., Chandramowlishwaran, A., Won, Y. (2023) Artificial Intelligence for Liquid-Vapor Phase-Change Heat Transfer. npj Computational Materials, 10, 65.
Suh, Y., P, Simadiris., Chang, S. H., Won, Y. (2024) VISION-iT: A Framework for Digitalizing Bubbles and Droplets. Energy and AI, 15, 100309.
Suh, Y., Lee, J., Simadiris, P., Yan, X., Sett, S., Li, L., Rabbi, F, L., Miljkovic, N., Won, Y. (2021). A Deep Learning Perspective on Dropwise Condensation. Advanced Science, 22(8), 2101794. Selected for Cover Art.
Suh, Y., Bostanabad, R., & Won, Y. (2021). Deep Learning Predicts Boiling Heat Transfer. Scientific Reports, 11(1), 1-10.
Education
Ph.D., Mechanical Engineering
University of California, Irvine, 2022
M.S., Mechanical Engineering
University of California, Irvine, 2019
B.S., Mechanical Engineering
Chung-Ang University, Seoul, South Korea, 2016