Han Hu Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Han Hu's research focuses on heat transfer phenomena, particularly in boiling processes, and the application of advanced computational methods for their analysis and prediction. His work investigates strategies for enhancing heat transfer efficiency and detecting critical heat flux, a crucial parameter in thermal management systems. Hu has explored the role of microlayer evaporation in heat transfer enhancement and studied bubble dynamics using reduced-order analysis and deep learning techniques.
His recent publications also delve into nonintrusive methods for quantifying heat flux using acoustic emissions, a technique he has applied to investigate critical heat flux enhancement on microstructured surfaces. Hu's research extends to a broader perspective on heat transfer, including experimental and molecular dynamics approaches at the nano and microscale. His scholarship metrics include an h-index of 22, 105 total publications, and 1,285 total citations, designating him as a highly cited researcher.
Hu has secured significant federal funding, totaling $1,080,963 across four NSF awards. These grants support projects on advanced acoustic monitoring for power modules, immersion cooling for electric motors, probing interfacial instabilities in microgravity using acoustic signatures, and the development of deep learning models for non-intrusive cooling system fault detection. He collaborates with researchers at the University of Arkansas at Fayetteville, including Christy Dunlap, Changgen Li, and Stephen W. Pierson.
Metrics
- h-index: 22
- Publications: 105
- Citations: 1,285
Selected Publications
- Heterogeneous Condensation on Simplified Viral Envelope Protein Structures (2025) DOI
- Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images (2025) DOI
- Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing (2025) DOI
- Unveiling hysteresis of transient boiling: A multimodal perspective (2024) DOI
- Two-Phase Immersion Cooler for Medium-Voltage Silicon Carbide MOSFETs (2024) DOI
- A Temporal–Spatial Framework for Efficient Heat Flux Monitoring of Transient Boiling (2024) DOI
- Work-in-Progress: Open-Source Selective Laser Sintering (SLS) Test Bed (2024) DOI
- Coupled Field-Driven Design and Numerical Simulation for Engineering Education (2024) DOI
- Data Acquisition Using LabVIEW and MATLAB for Mechanical Engineering Laboratories (2024) DOI
- BubbleID: A deep learning framework for bubble interface dynamics analysis (2024) DOI
- Multimodal boiling dataset with synchronized acoustic, optical, and thermal measurements under steady-state and transient heat loads (2024) DOI
- A Bayesian Spatiotemporal Modeling Approach to the Inverse Heat Conduction Problem (2024) DOI
- Multimodal Boiling Dataset with Synchronized Acoustic, Optical, and Thermal Measurements Under Steady-State and Transient Heat Loads (2024) DOI
- Enhancing Undergraduate Mechanical Engineering Education with CAM and CNC Machining (2024) DOI
- Introducing LabVIEW and Arduino as Data Acquisition System Alternatives (2024) DOI
Federal Grants 4 $1,080,963 total
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Researchers in the database who share publications