LabCompass

Byung Gun Joung

Engineering · Purdue University West Lafayette

Mid career · publishing since 2016

Publications

13

Citations

161

Est. group size

~2

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Byung Gun Joung's work focuses on smart and sustainable manufacturing, including using machine learning to detect equipment faults (like bearing and motor anomalies) and to identify manufacturing processes from design data. Other work looks at how manufacturing decisions and maintenance strategies affect environmental and economic outcomes. This research combines data-driven diagnostic tools with broader questions about making factories more efficient and environmentally sustainable.

Smart manufacturing and Industry 4.0Machine learning for fault and anomaly detectionGreen/sustainable manufacturingManufacturing process identification from CAD dataMaintenance strategy and decision-making

Publication output has been modest but fairly steady over the last decade, starting from zero in the late 2010s and settling around 1-3 papers per year since 2020.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
1718192020: 2 publications202021: 1 publication212022: 3 publications3222023: 2 publications232024: 2 publications242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • Procedia Manufacturing×2
  • International Journal of Sustainable Manufacturing×2
  • Journal of Manufacturing Processes×1
  • CIRP Annals×1
  • Green Manufacturing Open×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.

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