Ke Yan

RESEARCH INTERESTS:

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

Education

• Doctor of Philosophy (Ph.D.) National University of Singapore / NUS (2006 — 2012)
• Bachelor's degree National University of Singapore / NUS (2002 — 2006)
• Zhejiang University (2001 — 2002)

Companies

• Assistant Professor National University of Singapore (2019)
• Associate Professor 中国计量大学 (2015 — 2019)
• Post-Doctoral Researcher Masdar Institute of Science and Technology (2013 — 2014)
• Research Assistant 新加坡国立大学 (2009 — 2012)
• Teaching Assistant National University of Singapore (2006 — 2010)
• Software Engineer DSO National Laboratories (2009 — 2010)
• Research Assistant National University of Singapore (2006 — 2007)

SELECTED PUBLICATIONS:

• Ke Yan. Chiller fault detection and diagnosis with anomaly detective generative adversarial network. Building and Environment, 107982, 2021. • 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. • Ke Yan, Lu Liu, Yong Xiang, and Qun Jin. Guest editorial: AI and machine learning solution cyber intelligence technologies: new methodologies and applications. IEEE Transactions on Industrial Informatics 16(10): 6626-6631, 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, Yuting Dai, Meiling Xu, and Yuchang Mo. Tunnel Surface Settlement Forecasting with Ensemble Learning. Sustainability, 12(1): 232, 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. • Ke Yan, Wen Shen, Qun Jin and Huijuan Lu. Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives. IEEE Access, 7: 26031–26059, 2019. doi: 10.1109/ACCESS.2019.2894344 • Ke Yan, Chaowen Zhong, Jing Huang and Zhiwei Ji. Semi-supervised Learning for Early Detection and Diagnosis of Various Air Handling Unit Faults. Energy and Buildings, 2018, 181: 75–83. doi: 10.1016/j.enbuild.2018.10.016 • Ke Yan, Yang Du and Zixiao Ren. MPPT Perturbation Optimization of Photovoltaic Power Systems Based on Solar Irradiance Data Classification. IEEE Transactions on Sustainable Energy, 2018, 10(2): 514 --521. doi: 10.1109/TSTE.2018.2834415. • Ke Yan, Zhiwei Ji, Huijuan Lu, Jing Huang, Wen Shen and Yu Xue. Fast and Accurate Classification of Time Series Data using Extended ELM: Application in Fault Diagnosis of Air Handling Units. IEEE Transactions on Systems, Man and Cybernetics: Systems. 2017. • Ke Yan, Zhiwei Ji, Wen Shen. Online Fault Detection Methods for Chillers Combining Extended Kalman Filter and Recursive One-class SVM. Neurocomputing, 228: 205--212. 2016. doi: 10.1016/j.neucom.2016.09.076 • Ke Yan, Wen Shen, Timothy Mulumba and Afshin Afshari*. ARX model based fault detection and diagnosis for chillers using support vector machines. Energy and Buildings. 81: 287--295. 2014