Han Hu
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Kunming University of Science and Technology (2025); Jiangxi University of Traditional Chinese Medicine (2024–2025); University of Vermont (2022); Tongji University (2020–2021); University of Science and Technology of China (2024); Tianjin University of Science and Technology (2011–2013); Ministry of Education of the People's Republic of China (2022); Nanchang University (2025); Shanghai University of Engineering Science (2022); Purdue University West Lafayette (2017–2022); State Key Laboratory of Pollution Control and Resource Reuse (2020–2021); Guangzhou Electronic Technology (China) (2022–2026); Huaiyin Institute of Technology (2019); Shanghai Institute of Pollution Control and Ecological Security (2020–2021); Drexel University (2012–2017); Hubei University (2022)
Faculty Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Han Hu is an Assistant Professor at the University of Arkansas at Fayetteville. His research focuses on advanced computing systems, including efficient vision transformers, carbon-neutral data centers, and multi-UAV-enabled mobile-edge computing for IoT applications. He has also investigated optimal volumetric video streaming with hybrid saliency-based tiling and joint task offloading and resource allocation for IoT edge computing with sequential task dependency.
Dr. Hu has received significant federal funding for his work, serving as PI on four NSF awards totaling over $1 million. These grants support research in areas such as advanced acoustic monitoring for power modules, immersion cooling for electric motors, probing interfacial instabilities in flow boiling, and fault detection in cooling systems using deep learning of acoustic emissions. He is recognized as a highly cited researcher and has accumulated over 1,300 citations across more than 100 publications, with an h-index of 23.
His research network includes collaborations with several colleagues at the University of Arkansas at Fayetteville, including Christy Dunlap, Changgen Li, Stephen W. Pierson, and Ethan Weems, with whom he has co-authored numerous publications.
Metrics
- h-index: 23
- Publications: 108
- Citations: 1,404
Selected Publications
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Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics (2026)arXiv (Cornell University) OpenAlex
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Acoustic Emission Signatures of Flow Boiling in a Microchannel Heat Sink (2026)
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Data from: Acoustic signatures of two-phase flows in a microchannel heat sink (2026)
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CFDTwin: An open-source GUI and Python toolkit for POD-NN surrogate modeling of ANSYS Fluent simulations (2026)
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Data from: Additively manufactured lightweight hybrid multi-tier liquid cooler for 10 kV SiC MOSFET power module (2026)
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Open Multimodal Datasets and Open-Source Software for Data-Driven Modeling of Multiphase Transport and Thermal Systems (2026)
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Thermal Design and Analysis of Phase Change Material Integrated SiC Based Solid State Circuit Breaker (2026)
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UARK-NED3/CFDTwin: CFDTwin v0.2.0: API core with optional GUI (2026)
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UARK-NED3/CFDTwin: CFDTwin v0.2.0: API core with optional GUI (2026)
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Physically interpretable surrogate modeling of thermal fields in electronics cooling using combined proper orthogonal decomposition and neural networks (2026)
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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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Slug flow condensation identification with acoustic signatures (2025)
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Quantification and mitigation of uncertainties in thermal conductivity measurements using a modified ASTM D5470 thermal resistance tester (2025)
Federal Grants 4 $1,080,963 total
PFI-TT: Advanced Acoustic Monitoring for Safer and More Reliable Power Modules
I-Corps: Non-Intrusive Cooling System Fault Detection Using Deep Learning of Acoustic Emissions
Collaboration Network
Top Collaborators
- 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
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Supervised and Unsupervised Learning Models for Detection of Critical Heat Flux During Pool Boiling
Showing 5 of 21 shared publications
- 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
- Unveiling hysteresis of transient boiling: A multimodal perspective
- Supervised and Unsupervised Learning Models for Detection of Critical Heat Flux During Pool Boiling
Showing 5 of 15 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 8 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
- 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
- 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
- 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
- SequenceSync-GAN: sequence-aware domain translation for generalizable boiling crisis detection
- 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
- Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images
- 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
- Microlayer evaporation governs heat transfer enhancement during pool boiling from microstructured surfaces
- A figure of merit to characterize the efficacy of evaporation from porous microstructured surfaces
- Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images
- Special Section on Silicon-Package-Rack-Data Center Thermal Management: Challenges, Opportunities, and Solutions
- 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
- Data from: Physically interpretable surrogate modeling of thermal fields in electronics cooling using combined proper orthogonal decomposition and neural networks
- Physically interpretable surrogate modeling of thermal fields in electronics cooling using combined proper orthogonal decomposition and neural networks
- Open Multimodal Datasets and Open-Source Software for Data-Driven Modeling of Multiphase Transport and Thermal Systems
- CFDTwin: An open-source GUI and Python toolkit for POD-NN surrogate modeling of ANSYS Fluent simulations
- Microlayer evaporation governs heat transfer enhancement during pool boiling from microstructured surfaces
- A figure of merit to characterize the efficacy of evaporation from porous microstructured surfaces
- Generalizable Physical Descriptors of Pool Boiling Heat Transfer from Unsupervised Learning of Images
- 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
- 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
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