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Zhenhua Zhu

Zhenhua Zhu

Associate Professor

Dr. Zhu received his Bachelor’s degree in Civil Engineering in 2002 and his Master’s degree in Computer Science and Technology in 2006. Both are from Zhejiang University, China. In 2011, he obtained his Ph.D. in Civil Engineering from Georgia Institute of Technology, USA, and then worked at Concordia University, Montreal, Canada, as an Assistant Professor from 2011 to 2016 and an Associate Professor from 2016 to 2019. Dr. Zhu is a registered Professional Engineer in the Province of Ontario, Canada. His research interests include data sensing and analysis, visualization, information modeling, and simulation in construction and construction robotics.

  • PhD 2011, Georgia Institute of Technology
  • Master of Engineering 2006, Zhejiang University
  • BS 2002, Zhejiang University

  • Data sensing and analysis
  • Digital modeling
  • Construction automation and robotics

  • 2024 International Consortium of Construction Engineering and Management, Appreciation Award
  • 2024 ASCE Construction Institute and Construction Research Congress Joint Conference, Best Overall Paper
  • 2024 ASCE Construction Institute and Construction Research Congress Joint Conference, Best Paper Award in the Track of Automation in Construction
  • 2022 Conference on Transforming Construction with Reality Capture Technologies: The Digital Reality of Tomorrow, Best Academic Paper
  • 2022 ASCE VIMS/IAARC Datathon Competition, First Place
  • 2022 ASCE DSA Inaugural Best Data Awards, Third Place
  • 2019 Mortenson Company, Mortenson Company Assistant Professorship
  • 2014 American Society of Civil Engineers, Outstanding Reviewer for the Journal of Computing in Civil Engineering
  • 2013 American Society of Civil Engineering, Collingwood Prize
  • 2012 American Society of Civil Engineers, Outstanding Reviewer for the Journal of Computing in Civil Engineering
  • 2012 American Society of Civil Engineers, Outstanding Reviewer for the Journal of Construction Engineering and Management
  • 2011 Georgia Institute of Technology, Doctoral Student Professional Development Fund
  • 2011 Georgia Institute of Technology, Graduate Conference Fund
  • 2009 ASCE Construction Research Congress, Best Paper Award

  • Lu, L., Dai, F., & Zhu, Z. (2024). An Investigation on Accurate Road User Location Estimation in Aerial Images Collected by Drones. In Construction Research Congress 2024 (p. 516-526).
  • Wang, X., Veeramani, D., Dai, F., & Zhu, Z. (2024). Eye Gaze and Hand Gesture-Driven Human-Robot Interaction in Construction. In Construction Research Congress 2024 (p. 991-1000).
  • Xu, L., Liu, H., Xiao, B., Luo, X., & Zhu, Z. (2024). Synthetic Simulated Data for Construction Automation: A Review. In Construction Research Congress 2024 (p. 527-536).
  • Xu, L., Veeramani, D., & Zhu, Z. (2024). Towards Automated Physics-Based Modeling: Fusion of Construction Equipment Data for Efficient Simulation. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction (p. 872-879).
  • Han, W., & Zhu, Z. (2024). Vision-Based Turn Signal Recognition for Automated Flagging. In Construction Research Congress 2024 (p. 1019-1028).
  • Xu, L., Liu, H., Xiao, B., Luo, X., Zhu, Z., & others, (2024). A systematic review and evaluation of synthetic simulated data generation strategies for deep learning applications in construction. Advanced Engineering Informatics, 62, 102699.
  • Xu, L., Veeramani, D., & Zhu, Z. (2024). Automated physics-based modeling of construction equipment through data fusion. Automation in Construction, 168, 105880.
  • Wang, X., Veeramani, D., Dai, F., & Zhu, Z. (2024). Context-aware hand gesture interaction for human-robot collaboration in construction. Computer-Aided Civil and Infrastructure Engineering.
  • Lu, L., Dutta, S., Zhu, Z., & Dai, F. (2024). Leveraging Traffic Scenes to Estimate Three Mutually Orthogonal Vanishing Points in Support of Automated Vision-based Traffic Data Collection. KSCE Journal of Civil Engineering, 100111.
  • Han, W., & Zhu, Z. (2024). Vehicle Turn-Signal Detection for Automated Flagging Systems. Journal of Computing in Civil Engineering, 38(4), 04024020.

  • CIV ENGR 392 - Building Information Modeling (BIM) (Spring 2026)
  • CIV ENGR 465 - Data Sensing and Analysis in Construction (Spring 2026)
  • CIV ENGR 699 - Independent Study (Spring 2026)
  • CIV ENGR 890 - Pre-Dissertator's Research (Spring 2026)
  • CIV ENGR 990 - Thesis (Spring 2026)
  • CIV ENGR 392 - Building Information Modeling (BIM) (Fall 2025)
  • CIV ENGR 649 - Special Topics in Structural Engineering (Fall 2025)
  • CIV ENGR 699 - Independent Study (Fall 2025)
  • CIV ENGR 760 - Research Methods in Construction Engineering Management (Fall 2025)
  • CIV ENGR 790 - Master's Research or Thesis (Fall 2025)
  • CIV ENGR 890 - Pre-Dissertator's Research (Fall 2025)
  • CIV ENGR 990 - Thesis (Fall 2025)
  • CIV ENGR 999 - Advanced Independent Study (Fall 2025)
  • CIV ENGR 699 - Independent Study (Summer 2025)
  • CIV ENGR 790 - Master's Research or Thesis (Summer 2025)
  • CIV ENGR 890 - Pre-Dissertator's Research (Summer 2025)
  • CIV ENGR 990 - Thesis (Summer 2025)
  • CIV ENGR 999 - Advanced Independent Study (Summer 2025)
  • CIV ENGR 392 - Building Information Modeling (BIM) (Spring 2025)
  • CIV ENGR 465 - Data Sensing and Analysis in Construction (Spring 2025)
  • CIV ENGR 890 - Pre-Dissertator's Research (Spring 2025)
  • CIV ENGR 392 - Building Information Modeling (BIM) (Fall 2024)
  • CIV ENGR 760 - Research Methods in Construction Engineering Management (Fall 2024)
  • CIV ENGR 890 - Pre-Dissertator's Research (Fall 2024)
  • CIV ENGR 890 - Pre-Dissertator's Research (Summer 2024)
  • CIV ENGR 392 - Building Information Modeling (BIM) (Spring 2024)
  • CIV ENGR 890 - Pre-Dissertator's Research (Spring 2024)
  • CIV ENGR 990 - Thesis (Spring 2024)