H
Han Hu Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Federal Grant PI
High Impact
Assistant Professor
faculty
33 h-index
213 pubs
4,263 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Han Hu's research focuses on heat transfer phenomena, particularly in the context of boiling and phase change processes. His work investigates methods to enhance heat transfer efficiency and detect critical heat flux, a crucial parameter in thermal management systems. Hu employs advanced techniques, including deep learning and acoustic sensing, to non-intrusively quantify heat flux and monitor boiling dynamics. His publications explore the role of surface microstructures and fluid properties, such as microlayer evaporation, in governing heat transfer enhancement. He also examines bubble dynamics and their influence on heat transfer performance.
Hu has secured significant federal funding from the National Science Foundation (NSF) to support his investigations. These grants include projects focused on advanced acoustic monitoring for power modules, immersion cooling of electric motors, probing interfacial instabilities in flow boiling and condensation, and using deep learning for cooling system fault detection. His scholarly output includes over 200 publications, with a notable h-index of 33, indicating a substantial contribution to his field. He actively collaborates with researchers at the University of Arkansas at Fayetteville, including Christy Dunlap, Changgen Li, and Stephen W. Pierson, with whom he has co-authored numerous publications.
Metrics
- h-index: 33
- Publications: 213
- Citations: 4,263
Selected Publications
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Data from: Physically interpretable surrogate modeling of thermal fields in electronics cooling using combined proper orthogonal decomposition and neural networks (2026)
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SequenceSync-GAN: sequence-aware domain translation for generalizable boiling crisis detection (2026)
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Special Section on Silicon-Package-Rack-Data Center Thermal Management: Challenges, Opportunities, and Solutions (2026)
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Unsupervised machine learning framework for non-destructive acoustic emission sensing of flow condensation (2025)
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Heterogeneous Condensation on Simplified Viral Envelope Protein Structures (2025)
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Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images (2025)
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Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing (2025)
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Unveiling hysteresis of transient boiling: A multimodal perspective (2024)
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Two-Phase Immersion Cooler for Medium-Voltage Silicon Carbide MOSFETs (2024)
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A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling (2024)
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Work-in-Progress: Open-Source Selective Laser Sintering (SLS) Test Bed (2024)
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Coupled Field-Driven Design and Numerical Simulation for Engineering Education (2024)
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Data Acquisition Using LabVIEW and MATLAB for Mechanical Engineering Laboratories (2024)
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BubbleID: A deep learning framework for bubble interface dynamics analysis (2024)
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Multimodal boiling dataset with synchronized acoustic, optical, and thermal measurements under steady-state and transient heat loads (2024)
Federal Grants 4 $1,080,963 total
NSF
PI
Aug 2023 - Jan 2027
NSF
PI
Jun 2025 - May 2027
PFI-TT: Advanced Acoustic Monitoring for Safer and More Reliable Power Modules
NSF
PI
Apr 2022 - Sep 2023
I-Corps: Non-Intrusive Cooling System Fault Detection Using Deep Learning of Acoustic Emissions
Collaboration Network
Top Collaborators
Hari Pandey
University of Arkansas at Fayetteville (US)
21 shared publications
- Nonintrusive heat flux quantification using acoustic emissions during pool boiling
- Acoustic sensing for investigating critical heat flux enhancement during pool boiling on electrodeposited copper foams
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Supervised and Unsupervised Learning Models for Detection of Critical Heat Flux During Pool Boiling
- Unveiling hysteresis of transient boiling: A multimodal perspective
Showing 5 of 21 shared publications
Christy Dunlap
University of Arkansas at Fayetteville
14 shared publications
In database
- Nonintrusive heat flux quantification using acoustic emissions during pool boiling
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Introducing LabVIEW and Arduino as Data Acquisition System Alternatives
- Supervised and Unsupervised Learning Models for Detection of Critical Heat Flux During Pool Boiling
- Design and fabrication of a low-cost and programmable dip coating machine
Showing 5 of 14 shared publications
Ying Sun
University of Cincinnati (US)
7 shared publications
- Deep learning strategies for critical heat flux detection in pool boiling
- Learning new physical descriptors from reduced-order analysis of bubble dynamics in boiling heat transfer
- A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation
- Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
Showing 5 of 7 shared publications
Changgen Li
University of Arkansas at Fayetteville (US)
7 shared publications
- BubbleID: A deep learning framework for bubble interface dynamics analysis
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Multimodal boiling dataset with synchronized acoustic, optical, and thermal measurements under steady-state and transient heat loads
- Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling
Showing 5 of 7 shared publications
Stephen Pierson
University of Arkansas at Fayetteville (US)
6 shared publications
- Introducing LabVIEW and Arduino as Data Acquisition System Alternatives
- Enhancing Undergraduate Mechanical Engineering Education with CAM and CNC Machining
- Two-Phase Immersion Cooler for Medium-Voltage Silicon Carbide MOSFETs
- COMPARING THE PERFORMANCE OF MICROCHANNEL HEAT SINKS PRODUCED BY CNC MILLING VERSUS POWDER BED FUSION
- CAM and Design for Manufacturing: A Project-Based Learning Course
Showing 5 of 6 shared publications
Ethan Weems
University of Arkansas at Fayetteville
5 shared publications
In database
- Nonintrusive heat flux quantification using acoustic emissions during pool boiling
- Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling
- Remote Thermal Measurements With Regression of Acoustic Emissions
- Two-Phase Immersion Cooler for Medium-Voltage Silicon Carbide MOSFETs
- Nonintrusive Heat Flux Quantification Using Acoustic Emissions During Pool Boiling
Teresa Wu
Arizona State University (US)
4 shared publications
- Deep learning strategies for critical heat flux detection in pool boiling
- Learning new physical descriptors from reduced-order analysis of bubble dynamics in boiling heat transfer
- A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation
- Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification
Amanda C de C Williams
University of Arkansas at Fayetteville (US)
4 shared publications
- Acoustic sensing for investigating critical heat flux enhancement during pool boiling on electrodeposited copper foams
- Multimodal Characterization of Steady-State and Transient Boiling Heat Transfer
- Acoustic Sensing for Investigating Critical Heat Flux Enhancement During Pool Boiling on Electrodeposited Copper Foams
- Electrochemical Control of Copper Foam Synthesis for Critical Heat Flux Enhancement During Boiling
Firas Al-Hindawi
Arizona State University (US)
3 shared publications
- Deep learning strategies for critical heat flux detection in pool boiling
- A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation
- Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification
Tejaswi Soori
Drexel University (US)
3 shared publications
- Deep learning strategies for critical heat flux detection in pool boiling
- Learning new physical descriptors from reduced-order analysis of bubble dynamics in boiling heat transfer
- A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation
Monojit Chakraborty
Indian Institute of Technology Kharagpur (IN)
3 shared publications
- A Review of Nano and Microscale Heat Transfer: An Experimental and Molecular Dynamics Perspective
- Visualization-based prediction of dendritic copper growth in electrochemical cells using convolutional long short-term memory
- Early-Stage Liquid Infiltration in Nanoconfinements
Hamed Mehrabi
University of Arkansas at Fayetteville (US)
3 shared publications
- Acoustic sensing for investigating critical heat flux enhancement during pool boiling on electrodeposited copper foams
- Acoustic Sensing for Investigating Critical Heat Flux Enhancement During Pool Boiling on Electrodeposited Copper Foams
- Electrochemical Control of Copper Foam Synthesis for Critical Heat Flux Enhancement During Boiling
Carolina Mira-Hernández
Universidad Pontificia Bolivariana (CO)
3 shared publications
- Acoustic sensing for investigating critical heat flux enhancement during pool boiling on electrodeposited copper foams
- Acoustic Sensing for Investigating Critical Heat Flux Enhancement During Pool Boiling on Electrodeposited Copper Foams
- Electrochemical Control of Copper Foam Synthesis for Critical Heat Flux Enhancement During Boiling
Robert H. Coridan
University of Arkansas at Fayetteville
3 shared publications
In database
- Acoustic sensing for investigating critical heat flux enhancement during pool boiling on electrodeposited copper foams
- Acoustic Sensing for Investigating Critical Heat Flux Enhancement During Pool Boiling on Electrodeposited Copper Foams
- Electrochemical Control of Copper Foam Synthesis for Critical Heat Flux Enhancement During Boiling
Arif Rokoni
Drexel University (US)
2 shared publications
- Deep learning strategies for critical heat flux detection in pool boiling
- Learning new physical descriptors from reduced-order analysis of bubble dynamics in boiling heat transfer