Biography

I am currently pursuing a Ph.D. at Nanyang Technological University, Singapore, focusing on machine learning for prognostics and health management in industrial systems. My research journey has been primarily within Project 3: Failure Mode Analysis at SP Group-NTU Joint Lab, where I’ve had the privilege to contribute since its inception.

During my involvement in the project, I have had the opportunity to develop various statistical models and explore deep learning techniques to improve the reliability analysis of power equipment. One of our collaborative research papers was honored with the Best Paper Award at the 4th Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP 2023) in Tokyo, Japan, held from September 11th to 14th, 2023.

Media Exposure

Check out some of the media coverage featuring my work and accomplishments:

[Apr 2024] Champion at the NUS Fintech Summit 2024, posted by Nanyang Technological University Singapore.
[Aug 2023] Best Paper Award at the 4th Asia Pacific Conference of the Prognostics and Health Management Society (PHMAP 2023), posted by NTU School of Electrical & Electronic Engineering.

Education

Aug 2020 – Present

Nanyang Technological University, Singapore
Doctor of Philosophy (Ph.D.), School of Electrical and Electronic Engineering
Thesis supervisor: Prof. Hu Guoqiang and Prof. Tan Yap-Peng

Aug 2019 – Jul 2020

Nanyang Technological University, Singapore
M.Sc. in Computer Science and Automation, School of Electrical and Electronic Engineering
Thesis: “Human-Object Interaction Detection”
Thesis supervisor: Prof. Tan Yap-Peng

Jan 2019 – May 2019

Université Grenoble Alpes, Grenoble, France
Exchange Program, Physique, Ingénierie, Terre, Environnement, Mécanique (PhITEM)

Sep 2015 – Jun 2019

Beihang University, Beijing, China
B.Eng. in Automation, School of Automation Science and Electric Engineering
Thesis: “Super-Resolution Reconstruction Research on Remote Sensing Images”
Thesis supervisor: Dr. Yue Haosong

Professional Experiences

Jul 2023 – Oct 2023

Data Scientist Intern
American Express, Singapore

• Developed deep learning models to predict customer behavior, achieving a certain increase in accuracy compared to previous methods.
• Collected and processed large-scale customer data, ensuring its quality and relevance for model development and validation.

Apr 2020 – Jul 2020

Digital Transformation Intern
Air Liquide, Singapore

• Contributed to the creation of a digital transformation framework and benchmark for PAG plants, facilitating the integration of digital technologies.
• Assisted in digital optimization work by formatting diagrams and validating algorithms

Sep 2019 – Mar 2020

Smart Factory Deployment Intern
Schneider Electric, Singapore

• Designed and implemented data visualization dashboards using Tableau to monitor KPIs in smart factories globally, enhancing decision-making processes.
• Conducted analysis on use cases to inform future development objectives, contributing to the strategic planning of smart factory initiatives.

Selected Publications

Cheng, J., Cho, S., Tan, Y. P., & Hu, G. (2023, September). Deep Learning-Enabled Statistical Model Estimation for Power Transformers with Censoring and Truncation Problems. In PHM Society Asia-Pacific Conference (Vol. 4, No. 1).

@inproceedings{cheng2023deep,
  title={Deep Learning-Enabled Statistical Model Estimation for Power Transformers with Censoring and Truncation Problems},
  author={Cheng, Jiaxiang and Cho, Sungin and Tan, Yap Peng and Hu, Guoqiang},
  booktitle={PHM Society Asia-Pacific Conference},
  volume={4},
  number={1},
  year={2023}
}

Cheng, J., Cho, S., Tan, Y. P., & Hu, G. (2023, September). A Survey of Prognostics and Health Management for Transformers: From Statistical Analysis to Condition-Based Diagnostics. In PHM Society Asia-Pacific Conference (Vol. 4, No. 1).

@inproceedings{cheng2023survey,
  title={A Survey of Prognostics and Health Management for Transformers: From Statistical Analysis to Condition-Based Diagnostics},
  author={Cheng, Jiaxiang and Cho, Sungin and Tan, Yap Peng and Hu, Guoqiang},
  booktitle={PHM Society Asia-Pacific Conference},
  volume={4},
  number={1},
  year={2023}
}

Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Transactions on Automation Science and Engineering. (Official Repo)

@article{wang2020adaptive,
  title={Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control},
  author={Wang, Tian and Cheng, Jiaxiang and Yang, Yi and Esposito, Christian and Snoussi, Hichem and Tao, Fei},
  journal={IEEE Transactions on Automation Science and Engineering},
  year={2020},
  publisher={IEEE}
}

Yue, H., Cheng, J., Liu, Z., & Chen, W. (2020). Remote-sensing image super-resolution using classifier-based generative adversarial networks. Journal of Applied Remote Sensing, 14(4), 046514.

@article{yue2020remote,
  title={Remote-sensing image super-resolution using classifier-based generative adversarial networks},
  author={Yue, Haosong and Cheng, Jiaxiang and Liu, Zhong and Chen, Weihai},
  journal={Journal of Applied Remote Sensing},
  volume={14},
  number={4},
  pages={046514},
  year={2020},
  publisher={International Society for Optics and Photonics}
}

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