Yuhyun Ji
Engineering · Purdue University West Lafayette
Publications
36
Citations
411
Est. group size
~15
Recurring co-author estimate
Active years
9
Publishing since 2018
Yuhyun Ji's research focuses on using smartphone-based imaging and machine learning to extract detailed light-spectrum (hyperspectral) information from ordinary photographs, with applications in health monitoring such as blood hemoglobin and hemodynamic imaging. Related work spans mobile health diagnostics, vaccine adjuvant engineering, and bioprinted or edible materials for authentication and labeling purposes. This work sits at the intersection of imaging engineering, biotechnology, and low-cost mobile health tools.
Publication output has grown from near zero in 2017-2019 to a steadier pace of roughly 4-7 papers per year from 2022 onward, suggesting an overall increasing and now fairly steady level of activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Exploring the Impact of Adjuvants on Vaccine Immunity Through Hematopoietic Cells
Vaccines · 2026
- Mobile Imaging–Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study
JMIR Research Protocols · 2026
- Machine learning insights into vaccine adjuvants and immune outcomes
Frontiers in Immunology · 2025
- Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs
IEEE Transactions on Image Processing · 2025
- Spectral recovery in photographs using a hyperspectral color chart
2025
- Engineering <i>Escherichia coli</i> for constitutive production of monophosphoryl lipid A vaccine adjuvant
Biotechnology and Bioengineering · 2024
- mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics
PNAS Nexus · 2023
- Bioinkjet Printing and Protein Tagging of Camouflaged Biosafe Quick Response Codes for Medicine Authentication
Advanced Materials Technologies · 2023
- Remote Blood Hemoglobin Monitoring with Hyperspectral Color Truthing for Advancing Sickle Cell Care
Blood · 2023
- mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics
Figshare · 2023
- Cyber‐Physical Watermarking with Inkjet Edible Bioprinting
Advanced Functional Materials · 2022
- Edible Matrix Code with Photogenic Silk Proteins
ACS Central Science · 2022
- Informed Spectral Learning for Hemodynamic Imaging
2022
- Spectroscopic mHealth for Blood Hemoglobin Testing
2022
- Informed learning of spectral super-resolution for mHealth applications
2022
- ACS Sensors×2
- PNAS Nexus×2
- Advanced Materials Technologies×2
- Blood×2
- Biomedical Optics Express×2
- Amin Zareei
Engineering · Purdue University West Lafayette
- Alex Chortos
Engineering · Purdue University West Lafayette
- Aaron B. Woeppel
Engineering · Purdue University West Lafayette
- Adil Wazeer
Engineering · Purdue University West Lafayette
- Andy Berbille
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile