01 · Profile
个人信息 · Personal Information
Junjia Zou
PhD Candidate · Mechanical Engineering · Microchannel Heat Exchangers · Machine Learning & CFD
Ph.D candidate at the University of Liverpool (XJTLU joint program), focusing on topology optimization of additive manufactured microchannel heat exchangers under manufacturability constraints, with experience in CFD, machine learning, and experimental testing.
Mobile / WeChat
+86 18374986741
Personal Website
Email (University)
Email (Personal)
Address
Xi’an Jiaotong-Liverpool University (Taicang Campus)
111 Taicang Avenue, Taicang, Suzhou, Jiangsu, P.R. China 215400
111 Taicang Avenue, Taicang, Suzhou, Jiangsu, P.R. China 215400
Google Scholar
- Research keywords: Microchannel Heat Exchangers, Heat & Mass Transfer, CFD, Machine Learning, Artificial Intelligence, Automation
02 · Education
教育背景 · Education
Ph.D, Mechanical Engineering, University of Liverpool
Dec. 2022 – Expected Dec. 2026 (Defense expected Aug. 2026)
Address: 765 Brownlow Hill, Liverpool L69 7ZX, UK
Supervisor: Dr. Long Huang
Co-supervisors: Dr. Yi Chen; Dr. Joseph Camm; Dr. Konstantinos Papadikis; Dr. Volfango Bertola; Dr. Olivier Cadot
Dissertation topic: Topology Optimization of Additive Manufactured Microchannel Heat Exchangers considering Manufacturability Constraints
Supervisor: Dr. Long Huang
Co-supervisors: Dr. Yi Chen; Dr. Joseph Camm; Dr. Konstantinos Papadikis; Dr. Volfango Bertola; Dr. Olivier Cadot
Dissertation topic: Topology Optimization of Additive Manufactured Microchannel Heat Exchangers considering Manufacturability Constraints
B.Sc, Information and Computing Science, Xi’an Jiaotong-Liverpool University
Sep. 2018 – Jun. 2022
Final year project: Investigation of human thermal comfort during exercise using model based system engineering modeling
Supervisor: Dr. Long Huang
Supervisor: Dr. Long Huang
03 · Skills
技能 · Skills
Programming
Simulation
Tools
Experimental & Instrumentation
04 · Awards & Honours
奖项 · Awards
Mathematical Contest In Modeling (MCM) · Meritorious Winner
2021
B.Sc, Information and Computing Science · First Class (Honours)
2022
05 · Research Interests
研究方向 · Keywords
Artificial Intelligence; Computer Science; Automation; Computational Fluid Dynamics; Machine Learning; Microchannel Heat Exchangers; Heat and Mass Transfer
06 · Teaching Activities
教学 · Teaching
2.1 Modules Teaching Assistance
Teaching Assistant
| Year | Code | Title | Role | Credit | No. of Students |
|---|---|---|---|---|---|
| AY2024/25 | MFE204TC | Artificial Intelligence and Data Analysis | Teaching assistant | 5 | 31 |
| AY2023/24 | MFE204TC | Artificial Intelligence and Data Analysis | Teaching assistant | 5 | 232 |
- Supported lectures/tutorials by answering student questions in class and providing guidance on AI and data-analysis exercises.
- Responded to post-class student enquiries via consultations and online communication, helping resolve assignment and coding/data-processing issues.
2.2 Final Year Project Assistance
Mentoring & Support
| Year | Student | Programme | Project Title | Role |
|---|---|---|---|---|
| AY2025–2026 | Haodi Yang | Intelligent Manufacturing Engineering | Development of Air-Side Heat Transfer and Pressure Drop | Workflow automation; CFD teaching; simulation software training; data reduction support |
| AY2025–2026 | Yujian Gao | Data Science and Big Data Technology | Dimensionless Learning of Flow Boiling Heat Transfer in Micro-channels | Dataset construction; dimensionless feature engineering; ML modeling & validation |
| AY2025–2026 | Ruiqi Xia | Intelligent Manufacturing Engineering | Multi-Task Learning for Predicting Heat Transfer Coefficients in Flow Boiling and Condensation Using Mixture-of-Experts Architecture | Deep learning mentoring; training & tuning support |
| AY2023–2024 | Jiabao An | Intelligent Manufacturing Engineering | Evaluating L-PBF manufacturing with a focus on microchannel heat exchangers | Experimental planning; test support; results interpretation *2023–2024 Innovator's Edge Award in Final Year Project, School of Intelligent Manufacturing Ecosystems, XJTLU |
| AY2022–2023 | Yang Yang | Data Science and Big Data Technology | Experimental and numerical analysis of indoor air quality affected by indoor thermal conditions with considering outdoor pollution rates | Experimental design support; questionnaire design; CFD teaching |
| AY2022–2023 | Runchen Ji | Data Science and Big Data Technology | Computational analysis of the natural ventilation’s impact on indoor air quality in a building | CFD teaching; simulation workflow; post-processing guidance |
| AY2022–2023 | Zhiyuan Chen | Intelligent Manufacturing Engineering | Machine learning for microchannel flow boiling heat transfer coefficients | Dataset organization; ML modeling; error/uncertainty analysis support |
07 · Research
科研 · Research Projects
3.1 External Research Project Participation (Industry)
XJTLU
| Duration | Sponsor | Type | Title | Role |
|---|---|---|---|---|
| 2024 | Guangdong Midea HVAC Equipment Co., Ltd. | Technical Service | Performance Analysis of Microchannel Heat Exchanger Air-side Performance | Heat exchanger testing; experimental data reduction; performance analysis & reporting |
| 2024–2025 | Huawei Technologies Co., Ltd. | Technology development (Commissioned party) | HEX Performance Improvement Design Technology Development | CFD/simulation analysis; workflow automation; experimental design; heat exchanger testing; results analysis |
3.2 External Research Project Participation (Government)
XJTLU
| Duration | Sponsor | Type | Title | Role |
|---|---|---|---|---|
| 2024–2026 | National Natural Science Foundation of China (NSFC) | Young Scientists Fund | Research on the heat transfer mechanism and collaborative optimization of gas-liquid distribution for microchannel heat exchanger with non-uniform geometry | Optimization workflow development; non-uniform geometry database construction; model-based/data-driven optimization support |
3.3 Summer Undergraduate Research Fund (SURF) Assistance
Mentoring
| Year | Students | Project Title | Role |
|---|---|---|---|
| 2025 | Haodi Yang, Yinuo Liu | Optimization of Microchannel Heat Exchanger Fin Design Using Physics-Informed Neural Networks (PINNs) | ML model selection; experimental design |
| 2024 | Yiming Liu | Performance Enhancement of Air-to-Air Heat Exchangers | Experimental design; test operation guidance |
| 2022 | Caiyi Li, Haichang Li, Haoruo Zhang, Juniia Zou, Qinchen Yuan, Zi Yin | Data-Driven Models for Fast Thermophysical Property Calculations | Experimental design; model selection guidance; technical analysis |
08 · Journal Publications
期刊论文 · Journals
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J. Zou, J. Camm, C. Zheng, H. Yang, and L. Huang, “Development of a validated data-driven fin geometric design framework for microchannel heat exchangers,” Applied Thermal Engineering, vol. 288, p. 129581, Mar. 2026.
doi: 10.1016/J.APPLTHERMALENG.2025.129581
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J. Zou, T. Hirokawa, J. An, L. Huang, and J. Camm, “Recent advances in the applications of machine learning methods for heat exchanger modeling—a review,” Frontiers in Energy Research, vol. 11, 2023.
doi: 10.3389/fenrg.2023.1294531
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L. Huang, J. Zou, B. Liu, Z. Jin, and J. Qian, “Machine Learning Assisted Microchannel Geometric Optimization—A Case Study of Channel Designs,” Energies, vol. 17, no. 1, 2024.
doi: 10.3390/en17010044
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L. Huang, J. Zou, B. Liu, Z. Jin, and J. Qian, “Air-Side Heat Transfer Performance Prediction for Microchannel Heat Exchangers Using Data-Driven Models with Dimensionless Numbers,” Frontiers in Heat and Mass Transfer, vol. 22, no. 6, pp. 1613–1643, Dec. 2024.
doi: 10.32604/FHMT.2024.058231
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R. Du, J. Zou, J. An, and L. Huang, “A regression-based approach for the explicit modeling of simultaneous heat and mass transfer of air-to-refrigerant microchannel heat exchangers,” Applied Thermal Engineering, vol. 235, p. 121366, Nov. 2023.
doi: 10.1016/J.APPLTHERMALENG.2023.121366
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J. An, L. Guo, J. Zou, K. Zhang, Y. Zhong, T. Liu, L. Huang, Y. Chen, “Pressure Capacity Assessment of L-PBF-Produced Microchannel Heat Exchangers,” Inventions, vol. 9, no. 5, 2024.
doi: 10.3390/inventions9050097
09 · Conference Publications
会议论文 · Conferences
- J. Zou, Y. Chen, C. Zheng, and L. Huang, “Data-Driven Modeling of Microchannel Heat Exchangers Utilizing Dimensionless Numbers for Enhanced Prediction,” 2024.
- J. Zou, L. Guo, K. Zhang, C. Zheng, and L. Huang, “A Comparative Analysis of Machine Learning methods for Microchannel Heat Exchanger Performance Predictions,” in The 11th Asian Conference on Refrigeration and Air-conditioning, 2024.
- J. An, L. Guo, J. Zou, K. Zhang, Y. Zhong, T. Liu, L. Huang, Y. Chen, “Innovations in Additive Manufacturing: Pressure Capacity Assessment of L-PBF Produced Microchannel Heat Exchangers for Industrial Applications,” 2024.
- Q. Yuan, J. Zou, N. Fu, L. Guo, J. An, Z. Chen, and L. Huang, “An Experimental Study on the Effects of Temperature and Humidity Levels on Human Thermal Comfort During Running,” in International Conference on Sustainable Buildings and Structures Towards a Carbon Neutral Future (pp. 91–105), Singapore: Springer Nature, Aug. 2023.