Ke Yan

Singapore
Assistant Professor

Postgraduate:

Select University
Singapore

Main Appointment:

College of Design and Engineering (The Built Environment)

Joint Appointments:

Research Fields:

[supervisor_research_field]

Research Areas:

[supervisor_research_area]

Research Fields:

  • STEMM – Science, Technology, Engineering, Mathematics, Medical Sciences

Research Keywords:

Current Appointments:

Brief Description of Research:

Artificial Intelligence
Machine Learning
Big Data
Smart Building Design
Energy Solutions using AI Technology

Total Number of Publications:

70

Five Representative Publications:

• Ke Yan. Chiller fault detection and diagnosis with anomaly detective generative adversarial network. Building and Environment, 107982, Early Access, 2021
• Ke Yan, Jianye Su, Jing Huang, and Yuchang Mo. Chiller Fault Diagnosis Based on VAE Enabled Generative Adversarial Networks. IEEE Transactions on Automation Science and Engineering, Early Access, 2020
• Ke Yan, Adrian Chong, and Yuchang Mo. Generative adversarial network for fault detection diagnosis of chillers. Building and Environment 172: 106698, 2020
• Ke Yan, Jing Huang, Wen Shen, and Zhiwei Ji. Unsupervised learning for fault detection and diagnosis of air handling units. Energy and Buildings, 210: 109689, 2019
• Ning Jin, Yongkang Zeng, Ke Yan*, and Zhiwei Ji. Multivariate Air Quality Forecasting with Nested LSTM Neural Network. IEEE Transactions on Industrial Informatics, Early Access, 2021

My Research Videos:

Top 5 Publications:

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Journals Published:

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Ke Yan

Assistant Professor
College of Design and Engineering (The Built Environment)

Appointments

Education

Select University
Singapore

Research Areas

Research Description

Artificial Intelligence
Machine Learning
Big Data
Smart Building Design
Energy Solutions using AI Technology

Research Videos

Selected Publications

(out of 70 publications)

• Ke Yan. Chiller fault detection and diagnosis with anomaly detective generative adversarial network. Building and Environment, 107982, Early Access, 2021
• Ke Yan, Jianye Su, Jing Huang, and Yuchang Mo. Chiller Fault Diagnosis Based on VAE Enabled Generative Adversarial Networks. IEEE Transactions on Automation Science and Engineering, Early Access, 2020
• Ke Yan, Adrian Chong, and Yuchang Mo. Generative adversarial network for fault detection diagnosis of chillers. Building and Environment 172: 106698, 2020
• Ke Yan, Jing Huang, Wen Shen, and Zhiwei Ji. Unsupervised learning for fault detection and diagnosis of air handling units. Energy and Buildings, 210: 109689, 2019
• Ning Jin, Yongkang Zeng, Ke Yan*, and Zhiwei Ji. Multivariate Air Quality Forecasting with Nested LSTM Neural Network. IEEE Transactions on Industrial Informatics, Early Access, 2021