Chen Jiayu

Position:Tenured Associate Professor
Address:School of Civil Engineering, Department of Construction Management
Postal Code:100084
Tel:86-10-62795112
E-mail:jiayuchen@tsinghua.edu.cn

Education Background

2004.9-2008.6    Beijing Jiaotong University, School of Civil Engineering (Civil Engineering), BS

2008.9-2010.2    Columbia University, Department of Civil Engineering and Engineering Mechanics (Civil Engineering), MS

2008.9-2012.10  Columbia University, Department of Civil Engineering and Engineering Mechanics (Civil Engineering), PhD

Work Experience

2022.07- present, Associate Professor, Department of Construction Management, Tsinghua University

2019.09-2022.06, Associate Professor, Department of Architecture and Civil Engineering, City University of Hong Kong

2013.07-2019.08, Assistant Professor, Department of Architecture and Civil Engineering, City University of Hong Kong

2012.10-2013.06, Post-doc, Durham School of Architectural Engineering & Construction, University of Nebraska-Lincoln

Teaching Courses

Scientific and Academic Writing (Graduate Student)

Construction Project Management (Planned)

Honors and Awards

2019  CRIOCM Conference, Best Paper Award

2016  Scientific Project Awards of Shen Zhen

2016  Best Master Thesis Award Advisor, ASCE Hong Kong Section

2015  Best Peer Reviewed Paper (Honorable Mention), ASCE Journal of Management in Engineering

2014  Outstanding Reviewer, ASCE Journal of Management in Engineering

Research Interests

Urban building digital models and environmental simulation

Human-centric sensing and human-centric digital twin model

Human-robot collaboration

Professional Service

Technical Committee Panel Member, Hong Kong Home Development Bureau, Buildings Department of Hong Kong, Hong Kong Home Affairs Bureau, Hong Kong Green Building Council

Editorial Board Young Experts, Engineering, Elsevier

Editorial Member, International Journal of Construction Management, Taylor & Francis

Editorial Member, Frontier in Built Environment

Special Issue Editor, Applied Science, Frontiers in Psychology, Frontiers in Neuroscience

Research Projects

1. Hong Kong General Research Fund (GRF), Perceived Risks Extended Safety Program Development for Construction Projects through Quantitative Hybrid Kinematic-Electroencephalography Vigilance Recognition, 2021-2023, PI

2. Hong Kong General Research Fund – Early Career Scheme (GRF-ECS), Mitigating Human-related Hazards in Construction Projects: An Agile Framework for Jobsite Safety Assessment through Integrating Multiple Data Sources, 2017-2019, PI

3. The National Natural Science Foundation of China (NSFC), Developing Brain-Computer Interfacing Theory and Models for Construction Hazard Detection through EEG Bispectrum Analysis, 2016-2018, PI

4. The Shenzhen Science and Technology Funding Programs (Energy Conservation Grant), Developing active building energy management system based on coupled Wi-Fi and BLE indoor positioning system (IPS), 2015 – 2017, PI

5. The Shenzhen Science and Technology Funding Programs, Study on the Theory, Models, and Applications of Eco-feedback in Energy Saving Behavior of Building Residents under Complex Social Networks, 2015 – 2017, PI

6. Hong Kong Environment and Conservation Fund (ECF), Developing Effective Eco-feedback Platform to Benchmark Building Energy Consumption and Carbon Dioxide Emission and Promote Energy Saving Behavior and Awareness in Hong Kong , 2015-2017, PI

7. Hong Kong Construction Industry Council (CIC), Gyroscopic Stabilizers for Construction Cranes and Gondolas, 2014-2016, PI

8. Rui Ma, Tao Wang, Yan Wang, Jiayu Chen*, “Tuning urban microclimate: A morpho-patch approach for multi-scale building group energy simulation”, Sustainable Cities and Society, 2022,76:103516

9. Bin Ren, Xurong Luo, Heng Li, Jiayu Chen*, and Yao Wang, “Gait trajectory-based interactive controller for lower limb exoskeletons for construction workers”, Computer-aided Civil and Infrastructure Engineering, 2021, 37(5): 558-572

10.Guangchong Chen , Jiayu Chen, Yuchun Tang , Yan Ning , and Qiming Li*, “Collaboration strategy selection in BIM-enabled construction projects: a perspective through typical collaboration profiles”, Engineering, Construction and Architectural Management, 2022, 29(7): 2689-2713

11.Jinjing Ke, Ming Zhang, Xiaowei, Luo*, and Jiayu Chen, “Monitoring distraction of construction workers caused by noise using a wearable Electroencephalography (EEG) device”, Automation in Construction, 2021, 125: 103598

12.Rui Ma, Xin Li, and Jiayu Chen*, “An elastic urban morpho-blocks (EUM) modeling method for urban building morphological analysis and feature clustering”, Building and Environment, 2021, 192: 107646

13.Yan Zhang, His-Hsien Wei, Dong Zhao, Yilong Han, and Jiayu Chen*, “Understanding innovation diffusion and adaption strategies in megaproject networks through a fuzzy system dynamic model”, Frontiers of Engineering Management, 2021, 8(1):32-47

14.Bin Ren, Yao Wang, and Jiayu Chen*, “Trajectory-tracking-based Adaptive Neural Network Sliding Mode Controller for Robot Manipulators”, ASME Journal of Computing and Information Science in Engineering, 2020, 20(3): 031009

15.Bin Ren, Xurong Luo, Yao Wang, and Jiayu Chen*, “A Gait Trajectory Control Scheme through Successive Approximation based on RBF Neural Networks for the Lower Limb Exoskeleton Robot”, ASME Journal of Computing and Information Science in Engineering, 2020, 20(3): 031008

16.Rui Ma, Bin Ren, Dong Zhao, Jiayu Chen*, and Yujie Lu, “Modeling urban energydynamics under clustered urban heat island effect with local-weather extended distributed adjacency blocks”, Sustainable Cities and Society, 2020, 56:102099

17.Yongjun Sun, Rui Ma, Jiayu Chen*, and Tao Xu, “Heuristic Optimization for Gridinteractive Net-zero Energy Building Design through the Glowworm Swarm Algorithm”, Energy and Buildings, 2020, 208:109644

18.Zhuang Zheng, Jiayu Chen*, and Xiaowei Luo*, “Parallel computational building chain model for rapid urban-scale energy simulation”, Energy and Buildings, 2019, 201:37-52

19.Bin Ren, Yao Wang, and Jiayu Chen*, “A Novel Robust Finite-Time Trajectory Control With the High-Order Sliding Mode for Human–Robot Cooperation”, IEEE Access, 2019, 7:130874 – 130882

20.Wei Wang, Tianzhen Hong, Ning Xu, Xiaodong Xu*, Jiayu Chen*, and Xiaofang Shan, “Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering”, Building and Environment, 2019, 162:106280

21.Heng Li, Di Wang, Jiayu Chen*, Xiaochun Luo, Jue Li, and Xuejiao Xing, “Preservice fatigue screening for construction workers through wearable EEG-based signal spectral analysis”, Automation in Construction, 2019, 106: 102851

22.Wei Wang, Tianzhen Hong, Xiaodong Xu, Jiayu Chen*, Ziang Liu, and Ning Xu, “Forecasting district-scale energy dynamics through integrating building network and Long short-term memory learning algorithm”, Applied Energy, 2019, 245:217-230

23.Jiayu Chen, Hainan Chen, and Xiaowei Luo*, “Collecting building occupancy data of high resolution based on WiFi and BLE network”, Automation in Construction, 2019, 102:183-194

24.Di Wang, Heng Li, and Jiayu Chen*, “Detecting and measuring construction workers’ vigilance through hybrid kinematic-EEG signals”, Automation in Construction, 2019, 100:11-23

25.Wei Wang, Tianzhen Hong, Nan Li, Ryan Qi Wang, and Jiayu Chen*, “Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification”, Applied Energy, 2019, 236:55-69

26.Jiayu Chen, Qiwen Qiu, Yilong Han, and Denvid Lau*, “Piezoelectric materials for sustainable building structures: fundamentals and applications”, Renewable and Sustainable Energy Reviews, 2019, 101:14-25

27.Wei Wang, Jiayu Chen*, and Tianzhen Hong*, “Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings”, Automation in Construction, 2018, 94:233-243

28.Ardalan Khosrowpour, Rishee K. Jain, John E. Taylor, Gabriel Peschiera, Jiayu Chen, and Rimas Gulbinas, “A Review of Occupant Energy Feedback Research: Opportunities for Methodological Fusion at the Intersection of Experimentation, Analytics, Surveys and Simulation”, Applied Energy, 2018, 218:304-316

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