Jiarong Hong

Jiarong Hong is a Professor in the Department of Mechanical Engineering at the University of Minnesota's College of Science and Engineering. He holds additional affiliations with the Saint Anthony Falls Laboratory, Minnesota Robotics Institute, and Institute on the Environment, demonstrating his interdisciplinary research approach spanning fluid mechanics, renewable energy, and environmental systems.

Professor Hong's research focuses on fundamental fluid mechanics with particular emphasis on turbulence, atmospheric and multiphase flows, wind turbine aerodynamics, cavitation and bubbly flows, microfluidic systems, and optical imaging and instrumentation. His work bridges theoretical fluid dynamics with practical applications in flow diagnostics, biophysics, geophysics, medical and material sciences. A significant portion of his research involves developing and applying advanced measurement techniques, particularly digital holography and particle image velocimetry, to study complex fluid phenomena.

Analysis of his recent publications reveals a strong trend toward interdisciplinary applications of fluid mechanics principles, with increasing focus on renewable energy systems (particularly wind energy in challenging environments), environmental fluid dynamics, and biomedical applications of optical imaging techniques. His work shows a consistent evolution from fundamental fluid mechanics studies toward practical implementations addressing real-world engineering challenges, with particular emphasis on measurement techniques that can operate in field conditions.

• Robert T. Knapp Award for outstanding paper
• Best Paper Award from Measurement Science and Technology
• Multiple Featured Article designations in Physics of Fluids
• Cover Article in Acta Mechanica Sinica
• Cover Article in Biotechnology and Bioengineering
• Editor's Pick in Physics of Fluids
• Highlight of Nature Communication for groundbreaking wind turbine research

Professor Hong actively mentors graduate students, with several advisees appearing as first authors on numerous publications. His research is supported by significant grants that enable field studies, particularly at the EOLOS wind energy research station. His laboratory develops innovative imaging systems for 3D flow measurement and particle tracking, with applications spanning from wind energy to biomedical diagnostics.

The Flow Field Imaging Laboratory, directed by Professor Hong, specializes in developing advanced optical measurement techniques for fluid dynamics research. The lab is particularly known for its innovative use of natural phenomena (like snowfall) for large-scale flow visualization, as well as pioneering work in digital holography for particle field imaging. Recent work has expanded into drone-based atmospheric measurement systems and applications of machine learning to fluid dynamics problems.