LabCompass

Hyun Jung Min

Engineering · Purdue University West Lafayette

Early career · publishing since 2019Rising activity

Publications

14

Citations

164

Est. group size

~5

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Hyun Jung Min develops sensor and imaging technologies combined with machine learning to detect food contaminants, plant diseases, and pathogens, and to assess food quality. Work spans optical and acoustic biosensors, hyperspectral imaging, and deep learning applied to agricultural and food safety problems. The research aims to create practical, field-deployable tools for tasks like sorting seeds, grading fruit ripeness, and identifying foodborne bacteria or chemical contaminants.

Biosensors for food and pathogen detectionHyperspectral and optical imaging for agricultureMachine learning and deep learning applicationsFood quality and safety analysisNondestructive sensing technologies

Publication output has grown from little to no activity in 2017-2018 to a steady pace of about 2 papers per year in recent years, with a peak of 4 in 2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
17182019: 1 publication192020: 1 publication202021: 2 publications212022: 2 publications222023: 2 publications232024: 4 publications4242025: 1 publication252026: 1 publication26
Publishes in
  • Journal of Microbiological Methods×1
  • Postharvest Biology and Technology×1
  • Sensors×1
  • Horticulturae×1
  • Computers and Electronics in Agriculture×1
Similar researchers
By research-topic overlap

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