LabCompass

Kwonsik Song

Engineering · Purdue University West Lafayette

Established · publishing since 1988Rising activity

Publications

24

Citations

174

Est. group size

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Kwonsik Song works on construction and building engineering topics, particularly how to reduce building energy use through analysis of occupant behavior and data-driven methods like time-series clustering and machine learning. Related work covers construction worker safety and well-being (using wearable sensors and body-motion tracking), building acoustics, and applications of AI in construction management and energy forecasting. Much of the research combines building performance data with human-centered analysis, such as tailoring energy-saving recommendations to individual residents or identifying risky worker postures.

Building energy consumption and savings behaviorConstruction worker safety and health monitoringAI and machine learning applications in construction and energyBuilding acoustics and noise attenuationTime-series data analysis and clustering methods

Publication output was sparse or absent in the earlier part of the decade but has grown noticeably since 2023, with the highest activity in 2024-2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
17182019: 2 publications19202021: 1 publication21222023: 2 publications232024: 5 publications5242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • Buildings×4
  • Applied Energy×1
  • Energy and Buildings×1
  • Energies×1
  • Sustainability×1
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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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