Lily M Wang, PhD

Professor

  • 325 Citations
  • 11 h-Index
20032019
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Fingerprint Dive into the research topics where Lily M Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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acoustics Physics & Astronomy
rooms Physics & Astronomy
reverberation Physics & Astronomy
background noise Physics & Astronomy
students Physics & Astronomy
Acoustics Engineering & Materials Science
Acoustic waves Engineering & Materials Science
Acoustic noise Engineering & Materials Science

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Research Output 2003 2019

Acoustic conditions in occupied classrooms

Wang, L. M. & Smith, K. H., Jan 1 2019, Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019. Canadian Acoustical Association, (Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

acoustics
rooms
grade
students
standard deviation
Sodium Glutamate
Speech Perception
Acoustics
listener
Noise

The effects of indoor environmental factors on students' academic achievement

Kabirikopaei, A., Kuhlenengel, M., Arthur, A., Bovaird, J. A., Lau, J., Waters, C. & Wang, L. M., Jan 1 2019, AEI 2019: Integrated Building Solutions - The National Agenda - Proceedings of the Architectural Engineering National Conference 2019. Ling, M. D. F., Leicht, R. M. & Solnosky, R. L. (eds.). American Society of Civil Engineers (ASCE), p. 257-264 8 p. (AEI 2019: Integrated Building Solutions - The National Agenda - Proceedings of the Architectural Engineering National Conference 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reverberation
Students
Air quality
Aerosols
Lighting

A round robin study of sound power measurement methods to determine reproducibility and bias

Underwood, S. H. & Wang, L. M., Jan 1 2018.

Research output: Contribution to conferencePaper

acoustics
octaves
sound intensity
air conditioning
ventilation
1 Citation (Scopus)

Development of a model to predict the likelihood of complaints due to assorted tone-in-noise combinations

Lee, J. & Wang, L. M., May 1 2018, In : Journal of the Acoustical Society of America. 143, 5, p. 2697-2707 11 p.

Research output: Contribution to journalArticle

digits
loudness
air conditioning
ventilation
logistics