# Guang Hu

**Source**: https://www.tue.nl/en/research/researchers/guang-hu
**Parent**: https://www.tue.nl/en/news-and-events/news-overview/12-11-2025-super-powered-ai-from-eindhoven-helps-doctors-identify-cancer-and-other-diseases-more-quickly

Assistant Professor

# Guang Hu

- [PURE url](https://research.tue.nl/en/persons/guang-hu/ "Research Portal")

##### Contact

[g.hu@tue.nl](#)

[+31402473516](tel:+31402473516)

Vector 3.212

##### Department / Institute

[Mechanical Engineering](https://www.tue.nl/en/our-university/departments/mechanical-engineering)

[EIRES](https://www.tue.nl/en/research/research-groups/eires)

##### Group

[Energy Technology](https://www.tue.nl/en/research/research-groups/energy-technology)

Group Reinders

EIRES Research

[EAISI](https://www.tue.nl/en/research/research-groups/eaisi)

## RESEARCH PROFILE

Guang Hu is an Assistant Professor of Energy Technology Group, in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His main areas of expertise are machine learning-assisted modeling, multi-scale modeling, sustainable energy applications, and thermal/nuclear energy systems. He is focused on developing practical solutions that address environmental challenges in urban settings through computational methods and data-driven approaches.\
The intersection of computational modeling, machine learning, and sustainable energy represents a frontier in addressing climate challenges. Through his research, Guang aims to develop solutions that can make urban environments more resilient and energy-efficient.

> At the intersection of machine learning and energy systems, we find innovative solutions to our most pressing environmental challenges.

## ACADEMIC BACKGROUND

Guang Hu obtained his Ph.D. with distinction from Tsinghua University in 2019. Prior to joining TU/e, he held positions as a postdoctoral researcher at the Karlsruhe Institute of Technology in Germany and as a researcher at the Paul Scherrer Institut (PSI) in Switzerland, building a strong international research profile.

Guang has published in several respected journals in the fields of computational modeling, machine learning applications, and sustainable/nuclear energy. His research contributions span theoretical advancements in modeling techniques and practical applications for energy systems. He actively participates in international research collaborations and serves as a reviewer for journals in his field, contributing to the academic community's knowledge development and quality assurance.

## Recent Publications

- [See all publications](https://research.tue.nl/en/persons/guang-hu//publications/)

- [### Physics-based machine learning for subcooled boiling flow prediction with DEBORA experiment

  AI Thermal Fluids

  (2026)

  Guang Hu](https://research.tue.nl/nl/publications/3e2c5aad-9200-4b0d-9443-ea7820a6b69c)
- [### Machine Learning-Based Prediction of Photovoltaic Power Generation A Case Study Using Two-year Time Series Amsterdam Weather Data and SAM Simulations

  42nd European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC)

  (2025)

  Guang Hu,Roel C.G.M. Loonen,Angèle H.M.E. Reinders](https://research.tue.nl/nl/publications/3696e9d5-7105-4464-8252-fa8f6eea762a)
- [### Analyzing the Influence of Weather Conditions and Solar Irradiance on Photovoltaic Power Generation: A Case Study in Amsterdam

  12th International Conference on Urban Climate

  (2025)

  Guang Hu,Roel C.G.M. Loonen,Angèle H.M.E. Reinders](https://research.tue.nl/nl/publications/71e8b6ea-c0ad-4a27-ae3a-7b6c0ea649df)
- [### HEat Robustness In relation To AGEing cities (HERITAGE) Program

  12th International Conference on Urban Climate

  (2025)

  W. Timmermans,S. Gadde,Heet Joshi,Sander Oude Elberink,M. Büyükdemircioğlu,G.J. Steeneveld,D. Milošević,B. Sandvik,R. Uijlenhoet,A. Droste](https://research.tue.nl/nl/publications/4f128232-e219-43da-ba70-f2cf384a9c1c)
- [### Physics-Based and Data-Driven Digital Twins for 3D-Temperature Evolution in the Near-field of the FE Tunnel at Mont Terri

  (2024)

  Wilfried Pfingsten,Guang Hu](https://research.tue.nl/nl/publications/93faa704-595d-487b-bf73-4b631edce184)

## Ancillary Activities

No ancillary activities