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Zhifeng Huang

Physics and Astronomy · Purdue University West Lafayette

Established · publishing since 2000

Publications

90

Citations

1,972

Est. group size

Recurring co-author estimate

Active years

27

Publishing since 2000

Research summary
AI-generated

Zhifeng Huang studies how heat and light move through gases, flames, and other participating media, developing mathematical and computational methods to calculate radiative heat transfer and reconstruct temperature and gas concentration fields from optical measurements. Recent work also applies deep learning to reconstruct thermal fields from incomplete sensor data and explores related engineering topics like mirror cooling and energy harvesting from waste heat. This research is relevant to students interested in combustion diagnostics, computational heat transfer, and inverse problems in thermal measurement.

Radiative heat transfer modelingFlame temperature and gas concentration measurementComputational methods for participating media (Monte Carlo, discrete ordinates, spherical harmonics)Thermal imaging and inverse problem reconstructionApplied thermal/energy systems (cooling, heat-to-power harvesting)

Publication output has fluctuated over the last decade with a dip in 2023, but has picked back up with steady activity from 2024 through 2026, averaging about 1.6 papers per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
2017: 1 publication172018: 3 publications3182019: 1 publication192020: 2 publications202021: 3 publications3212022: 1 publication22232024: 3 publications3242025: 3 publications3252026: 1 publication26
Recent publications
Publishes in
  • Journal of Quantitative Spectroscopy and Radiative Transfer×5
  • International Journal of Heat and Mass Transfer×4
  • SSRN Electronic Journal×4
  • Journal of Physics Conference Series×2
  • Experimental Thermal and Fluid Science×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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