Beomjin Kwon, Ph.D. (kwon at asu dot edu)

Dr. Beomjin Kwon is an Associate Professor of Mechanical Engineering at Arizona State University, where he was promoted to tenure in 2025. He joined ASU in 2018 as a tenure-track Assistant Professor. His research focuses on developing artificial intelligence (AI)-driven methods for visualization, field reconstruction, and design of complex thermofluidic and energy systems.

Dr. Kwon received his Ph.D. (2013) and M.S. (2009) in Mechanical Engineering from the University of Illinois at Urbana-Champaign (UIUC). He began his professional career at the Korea Institute of Science and Technology (KIST), where he served as a Research Scientist (2013–2014) and Senior Research Scientist (2015–2016). Before joining ASU, he was a Postdoctoral Research Associate at UIUC (2017–2018).

Nagahiro Ohashi (nohashi at asu dot edu)

PhD student in Mechanical and Aerospace Engineering

Nagahiro received his BS in 2021 and MS in 2023 in mechanical engineering from the University of Hawaii at Manoa. His research interest focuses on using deep learning techniques to derive temperature distributions via a network trained with experimental data.

Hyder Bukhari (hbukhar3 at asu dot edu)

PhD student in Mechanical and Aerospace Engineering

Hyder earned his Bachelor's degree in Aerospace Engineering from the National University of Sciences and Technology (NUST), Islamabad, in 2021. After graduating, he worked in the aerospace industry for three years. His research interests focus on using deep learning techniques to visualize heat transfer and fluid mechanics, specifically leveraging these techniques to achieve visualizations unattainable with traditional measurement methods. 

Constantino Meza (czmeza at asu dot edu)

MS student in Mechanical and Aerospace Engineering

Constantino is a master's student in mechanical engineering. His research focuses on developing optimal pin fin geometry for heat sinks to operate electronics under harsh environments. 

Changmin Oh (changmi1 at asu dot edu)

BS student in Mechanical Engineering

Changmin is a senior mechanical engineering student. His research involves flow visualization and analysis of pin fin arrays using Particle Image Velocimetry (PIV), with particular interest in the effect of Reynolds number on turbulence and wake formation.

Yeasung Kim (ykim296 at asu dot edu)

BS student in Computational Mathematical Sciences

Yeasung is a senior student in computational mathematical sciences. His research focuses on using physics-informed neural networks (PINNs) to reconstruct flow fields from sparse data and on applying machine learning techniques to analyze and model carbon nanotube fibers.