YAN, KE - National University of Singapore - Department of Building Environment

个人简介

ACADEMIC QUALIFICATIONS Ph.D. (Computer Science, 2013), National University of Singapore, Singapore Bachelor of Computer Science, National University of Singapore, Singapore EMPLOYMENT RECORDS Assistant Professor, Department of Building, School of Design and Environment, National University of Singapore, Singapore (2019-) Lecturer/Associate Professor, College of Information Engineering, China Jiliang University, China (2015-2019) Postdoc Researcher, Department of Engineering and Management, Masdar Institute of Technology, Khalifa University, United Arab Emirates (2013-2014) PROFESSIONAL/CONSULTING ACTIVITIES Leading/Corresponding Guest Editor, IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 3.317), Special Issue: “Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution”. Leading/Corresponding Guest Editor, IEEE Transactions on Industrial Informatics (impact factor: 9.117), Special Issue: “AI and Machine Learning Solution Cyber Intelligence Technologies: New Methodologies and Applications”. Leading/Corresponding Guest Editor, AI and Big Data Analytics in Sensors and Applications (impact factor: 3.275), Special Issue: “AI and Big Data Analytics in Sensors and Applications”.

研究领域

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

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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