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Contact Information
| Name | Tianyu Hu |
| tyh@iastate.edu | |
| Phone | +1 (515) 357-4848 |
| Location | Ames, Iowa, USA |
| Website | https://thierryhu.com |
Professional Summary
PhD student in Electrical Engineering at Iowa State University specializing in power systems, distribution networks, explainable machine learning, and optimization. Research interests include grid resilience, EV-grid interaction, wind energy, and AI-driven energy applications.
Education
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Aug 2025 – Jul 2030 Ames, Iowa, USA
PhD in Electrical Engineering
Iowa State University
- Research focus: power system optimization and machine learning for energy applications
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Sep 2024 – Aug 2025 Manchester, UK
MSc in Electrical Power Systems Engineering
The University of Manchester
- Thesis: Modeling and Optimization of Phase Shifting Transformers for Power Systems
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Sep 2017 – Jul 2021 Glasgow, UK
Joint Program in Electrical and Electronic Engineering
University of Strathclyde
- Jointly cultivated with Northeast Electric Power University under a Ministry of Education of China program
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Sep 2017 – Jun 2021 Jilin, China
BEng in Electrical Engineering and Automation
Northeast Electric Power University
- Honors Degree, Outstanding Thesis, and Dean's List
- Thesis: Micrositing and Turbine Placement Optimization for Wind Farms
Experience
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Aug 2025 – Present Ames, Iowa, USA
Research Assistant
Iowa State University
- Conducting research on power system optimization, distribution networks, and explainable machine learning
- Supporting research in grid resilience and electric vehicle-grid interaction
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Oct 2024 – Aug 2025 Manchester, UK
Research Intern
The University of Manchester
- Investigated renewable energy integration and power market optimization
- Collaborated on wind energy and distribution system modeling
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Jan 2025 – Mar 2025 London, UK
Visiting Research Student
Imperial College London
- Conducted short-term research on machine learning applications in energy systems
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Aug 2021 – Sep 2024 Shenzhen, China
Research Assistant
Chinese Academy of Sciences
- Researched wind turbine wake modeling, wind farm layout optimization, and AI-driven energy solutions
- Worked with MATLAB, power system modeling, atmospheric turbulence, and optimization methods
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Jan 2022 – Mar 2022 Nanjing, China
Visiting Scholar
NARI Group Corporation
- Conducted applied studies on power-grid protection and stability technologies
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Jan 2021 – Jun 2021 China
Electrical Engineering Intern
State Grid Corporation of China
- Completed the Excellence in Power Engineering Training Program covering generation, transmission, and distribution
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Jan 2020 – Jun 2021 Nanjing, China
Visiting Student
CHN Energy Investment Group Co., Ltd.
- Contributed to wind-turbine wind-tunnel experiments for renewable energy applications
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Jan 2018 – Jun 2021 Jilin, China
Research Assistant
Northeast Electric Power University
- Worked on wind energy resource assessment and micro-siting optimization
Selected Publications
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2026 Multi-objective optimisation of auxiliary-air cyclone conveying using CPFD and RSM
Lidong Zhang, Xiaoyang Ma, Xinyu Xu, Jianming Su, Jie Han, Yuhao Pan, Lifeng Zhang, Changpeng Song, Tieliu Jiang, Tianyu Hu — Fuel
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2025 Cyber–physical resilience and security strategies for renewable energy-driven IoT power grids
Thomas Tongxin Li, Yujia Huang, Yuxin Hua, Tianyu Hu, Hongming Yang, Mohannad Alhazmi, Saif Alsaif, Guangliang Liu — Sustainable Energy Technologies and Assessments
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2025 Investigation of the wake blending of wind turbines with different capacities in a tandem configuration using LES
Lidong Zhang, Shilin Tian, Tianyu Hu, Yuanjun Guo, Jiangzhe Feng, Huaihui Ren, Haochen Zhang, Zhile Yang, Lei Zhang — Journal of Renewable and Sustainable Energy
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2025 Minimising transmission losses via coordinated deployment and control of phase shifting transformers
Tianyu Hu, Muxin Xu, Shuhang Shen, Peter Crossley, Zhongdong Wang, Xiaolin Ding — IET Conference Proceedings
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2023 A novel dynamic opposite learning enhanced Jaya optimization method for high efficiency plate-fin heat exchanger design optimization
Lidong Zhang, Tianyu Hu, Lifeng Zhang, Zhile Yang, S. McLoone, M. I. Menhas, Yuanjun Guo — Engineering Applications of Artificial Intelligence
Honors & Awards
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Dec 2025 Exceptional Project Prize
The University of Manchester, School of Engineering
- Awarded for the MSc dissertation
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Feb 2024 Distinguished Service Award
Chinese Academy of Sciences
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Jan 2023 Outstanding Contribution Award
Chinese Academy of Sciences
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Dec 2022 First Prize for Innovative Technology
China Simulation Federation Science and Technology Award
- Top 5‰
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Aug 2022 Best Poster Award
IEEE International Conference on Automation Science and Engineering
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2020 First-Class Scholarship for Technological Innovation
Northeast Electric Power University
- Top 1%
Skills
Programming: Python, MATLAB
Machine Learning and Data Science: scikit-learn, PyTorch, SHAP, NumPy, Pandas, SciPy, Matplotlib
Power Systems: OpenDSS, DIgSILENT PowerFactory, MATPOWER, PSCAD, IPSA
Optimization and Analytics: Convex and nonconvex optimization, CVXPy, Pyomo, Monte Carlo simulation, QSTS
Research: Experiment design, reproducible data management, technical writing, academic publishing, and project management
Interests
Languages: Chinese (native), English (professional), Japanese (elementary), Latin (elementary)
Activities: Hiking, mountaineering, fencing, photography, diving, skiing, calligraphy, and climbing