activity
20192021
most citedMachine Learning Holography for 3D Particle Field Imaging

92 citations · 109 across the 7 of their papers we have counts for

collaborators

11 papers

physics.flu-dyn2021

Probing into gas leakage characteristics of ventilated supercavity through bubbly wake measurement

Siyao Shao, Jiaqi Li, Kyungduck Yoon +1

The stability of ventilated supercavitation is strongly influenced by gas leakage characteristics of the cavity. Here we conduct a systematic investigation of such characteristics…

physics.flu-dyn2021

Insights into ventilation hysteresis shift due to flow unsteadiness in ventilated supercavitation

Kyungduck Yoon, Jiaqi Li, Siyao Shao +2

Understanding ventilation strategy of a supercavity is important for designing high-speed underwater vehicles wherein an artificial gas pocket is created behind a flow separation d…

physics.med-ph202013 cited

Risk assessment of airborne transmission of COVID-19 by asymptomatic individuals under different practical settings

Siyao Shao, Dezhi Zhou, Ruichen He +6

The lack of quantitative risk assessment of airborne transmission of COVID-19 under practical settings leads to large uncertainties and inconsistencies in our preventive measures.…

physics.med-ph2020

Droplet evaporation residue indicating SARS-COV-2 survivability on surfaces

Zilong He, Siyao Shao, Jiaqi Li +3

SARS-CoV-2 survives and remains viable on surfaces for several days under different environments as reported in recent studies. However, it is unclear how the viruses survive for s…

eess.IV2020

Machine learning shadowgraph for particle size and shape characterization

Jiaqi Li, Siyao Shao, Jiarong Hong

Conventional image processing for particle shadow image is usually time-consuming and suffers degraded image segmentation when dealing with the images consisting of complex-shaped…

physics.app-ph2019

Machine learning holography for measuring 3D particle size distribution

Siyao Shao, Kevin Mallery, Jiarong Hong

Particle size measurement based on digital holography with conventional algorithms are usually time-consuming and susceptible to noises associated with hologram quality and particl…