Photo of Yuqing Hu

Yuqing Hu

Assistant Professor


  • Architectural Engineering

Research Areas:

Building Construction




  • BS, Engineering Management, Tongji University, 2013
  • MS, Management Science & Engineering, Tongji University, 2016
  • MS, Computational Science & Engineering, Georgia Institute of Technology, 2019
  • Ph D, Building Construction, Georgia Institute of Technology, 2020


Journal Articles

  • Chen Xia, Yuqing Hu, Jianli Chen and Guangqing Chi, 2023, "Leveraging Demographic-Dependent Human Mobility Data for Spatial-Temporal Community Vulnerability Analysis", International Journal of Disaster Risk Reduction, 96, pp. 103964
  • Yuqing Hu, Chen Xia, Jianli Chen and Xinhua Gao, 2023, "Clash context representation and change component prediction based on graph convolutional network in MEP disciplines", Advanced Engineering Informatics
  • Xia Chen, Yuqing Hu and Jianli Chen, 2022, "Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression", Computers, Environment and Urban Systems, 100
  • Jun Wang, Jianli Chen and Yuqing Hu, 2022, "A Science Mapping Approach based Review of Model Predictive Control for Smart Building Operation Management", Journal of Civil Engineering and Management
  • Liang Zhang, Matt Lench, Jianli Chen and Yuqing Hu, 2022, "Sensor cost-effectiveness analysis for data-driven fault detection and diagnostics in commercial buildings", Energy, 263
  • Tessa Beauchat, Yuqing Hu, Robert Leicht and Clinton Suanico, 2022, "Analyzing Schedule Dependency and Sequencing Changes for Robotic Construction Using Graph Analysis", Journal of Computing in Civil Engineering
  • Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, Jianli Chen, Tianxiang Zhao and Enyan Dai, 2022, "Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network", Applied Energy, pp. 118231
  • Yuqing Hu, Daniel Castro, Chuck Eastman and Shamkant Navathe, 2021, "Component Change List Prediction for BIM-based Clash Resolution from a Graph Perspective", Journal of Construction Engineering and Management, 147, (8), pp. 04021085
  • Yuqing Hu, Daniel Castro-Lacoutured, Chuck Eastman and Shamkant B Navathe, 2020, "Automatic Clash Correction Sequence Optimization using a Clash Dependency Network", Automation in Construction, 115, pp. 103205
  • Jianli Chen, Xinhua Gao, Yuqing Hu, Zhaoyun Zeng and Yanan Liu, 2019, "A Meta-model based Optimization Approach for Fast Calibration of Building Energy Models", Energy
  • Yuqing Hu, Daniel Castro-lacouture and Charles M Eastman, 2019, "Holistic Clash Detection Improvement using a Component Dependent Network in BIM Projects", Automation in Construction, 105, pp. 102832
  • Yuqing Hu and Daniel Castro-Lacouture, 2019, "Clash Relevance Prediction based on Machine Learning", Journal of Computing in Civil Engineering, 33, (2), pp. 04018060
  • Juan Du, Jinyi Zhang, Daniel Castro and Yuqing Hu, , "Lean Manufacturing Applications in Prefabricated Construction Projects", Automation in Construction

Conference Proceedings

  • Chen Xia, Yuqing Hu and Jianli Chen, 2022, "An Activity-based Spatial-temporal Community Electricity Vulnerability Assessment Framework", 5th International Conference on Building Energy and Environment, Montreal, Canada, pp. 2621-2631
  • Yuqing Hu and Daniel Castro-Lacouture, 2018, "Clash Relevance Prediction in BIM-Based Design Coordination Using Bayesian Statistics", The ASCE Construction Research Congress 2018, pp. 649-658
  • Tessa Beauchat, Edward Blazejewski, Yuqing Hu, Robert Leicht and Clinton Suanico, , "Construction Activity Dependency and Sequencing Analysis for Robotic Construction Methods"
  • Zhaoyun Zeng, Ji-Hyun Kim1, Haochen Tan, Yuqing Hu, Parag Rastogi, Jiali Wang and Ralph Muehleisen, , "A critical analysis of future weather data for building and energy modeling"

Research Projects

Honors and Awards

  • The Best Paper Award of the Computer Applications & Simulation, Technology, & Data Analytics Track, the ASCE Construction Research Congress 2020, March 2020
  • Outstanding Reviewer Award, the ASCE Data Sensing and Analysis (DSA) Committee, September 2021
  • Outstanding Reviewer Award, The 2020 ASCE Construction Research Congress, April 2020


Service to Penn State:

  • Other, Coordinator, Architectural Engineering Distinguished speaker series, August 2021
  • Committee Work, Committee Member, Institute for Computational and Data Sciences, ICDS coordinating community, September 2021

Service to External Organizations:

  • Participation in or Service to Professional and Learned Societies, Other, Vice Chair, ASHREA BIM MTG, ASHREA, July 2022
  • Participation in or Service to Professional and Learned Societies, Co-Chairperson, NIBS Product Data Requirement work group, National Institute of Building Sciences, October 2022
  • Participation in or Service to Professional and Learned Societies, Other, Member-at-Large, ASCE Data sensing and analysis committee, March 2020



Globally recognized as a leading architectural engineering department, the mission of the Department of Architectural Engineering at Penn State is to advance the built environment through the development of world-class architectural engineers and research. The vision of the Department of Architectural Engineering at Penn State is to lead the world in innovative education and research to achieve high-performing built environments. Our program emphasizes the scientific and engineering aspects of planning, designing, and constructing buildings, providing our architectural engineering graduates with outstanding education and research opportunities. 

Department of Architectural Engineering

104 Engineering Unit A

The Pennsylvania State University

University Park, PA 16802

Phone: 814-865-6394