Issam Mudawar
Engineering · Purdue University West Lafayette
Publications
358
Citations
30,588
Est. group size
~9
Recurring co-author estimate
Active years
38
Publishing since 1989
Issam Mudawar studies boiling, condensation, and other two-phase (liquid-and-vapor) heat transfer processes, including experiments conducted in microgravity aboard the International Space Station and with cryogenic fluids like liquid hydrogen, helium, nitrogen, and methane. Recent work increasingly applies machine learning methods (such as Gaussian Process Regression and XGBoost) to predict heat transfer behavior in small channels, alongside traditional experimental and computational approaches. This research supports applications such as spacecraft thermal management and cooling systems that operate at very low temperatures.
Publication output has been steady to growing over the last decade, with a notable peak in 2024 followed by continued activity into 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Prediction and uncertainty quantification of saturated flow boiling heat transfer coefficients in mini/micro-channels using Gaussian Process Regression
SSRN Electronic Journal · 2026
- Prediction and uncertainty quantification of saturated flow boiling heat transfer coefficients in mini/micro-channels using Gaussian Process Regression
International Journal of Heat and Mass Transfer · 2026
- Experimental investigation and analysis of flow condensation heat transfer in microgravity–Experiments onboard the International Space Station
International Journal of Heat and Mass Transfer · 2025
- Computational investigation of flow condensation data from international space station microgravity and earth gravity experiments
International Journal of Heat and Mass Transfer · 2025
- Liquid nitrogen spray characterization in ambient and development of correlations for droplet diameter and velocity
Thermal Science and Engineering Progress · 2025
- XGBoost algorithm for predicting heat transfer coefficient of saturated flow boiling in mini/micro-channels
SSRN Electronic Journal · 2025
- Validation of Universal Cryogenic Flow Boiling Correlations in Thermal Desktop for Liquid Helium
IOP Conference Series Materials Science and Engineering · 2024
- Utilization of XGBoost algorithm to predict dryout incipience quality for saturated flow boiling in mini/micro-channels
International Journal of Heat and Mass Transfer · 2024
- Machine learning boiling prediction: From autonomous vision of flow visualization data to performance parameter theoretical modeling
International Journal of Multiphase Flow · 2024
- Gaussian process regression to predict dryout incipience quality of saturated flow boiling in mini/micro-channels
Applied Thermal Engineering · 2024
- Modeling of cryogenic heated-tube flow boiling experiments of hydrogen and helium with the Generalized Fluid System Simulation Program
Cryogenics · 2024
- Validation of Universal Cryogenic Flow Boiling Correlations in Thermal Desktop for Liquid Hydrogen
2024
- Utilization of Xgboost Algorithm to Predict Dryout Incipience Quality for Saturated Flow Boiling in Mini/Micro-Channels
SSRN Electronic Journal · 2024
- Modeling of cryogenic heated-tube flow boiling experiments of nitrogen and methane with Generalized Fluid System Simulation Program
IOP Conference Series Materials Science and Engineering · 2024
- Machine Learning Boiling Prediction: From Autonomous Vision of Flow Visualization Data to Performance Parameter Theoretical Modeling
SSRN Electronic Journal · 2024
- International Journal of Heat and Mass Transfer×90
- Applied Thermal Engineering×8
- SSRN Electronic Journal×6
- IOP Conference Series Materials Science and Engineering×2
- Advances in heat transfer×1
- Kalind Baraya
Engineering · Purdue University West Lafayette
- Vishwanath Ganesan
Engineering · Purdue University West Lafayette
- Justin A. Weibel
Engineering · Purdue University West Lafayette
- V.S. Devahdhanush
Engineering · Purdue University West Lafayette
- Suresh V. Garimella
Engineering · Purdue University West Lafayette
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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