Chao Wang, Ph.D.

Associate Professor, Graduate Program Advisorwang

Holder of the Eddie Rispone Professorship in Construction Management

3316-B Patrick F. Taylor Hall, Baton Rouge, LA 70803

Phone: (225) 578-9175

chaowang@lsu.edu

Google Scholar

Educational Background

  • Ph.D., Civil Engineering, Georgia Institute of Technology, 2014
  • M.S., Transportation Information Engineering and Control, Beihang University, 2009
  • B.S., Electrical Engineering, Hohai University, 2006

Employment History

  • 08/2021~present, Associate Professor, Department of Construction Management, Louisiana State University
  • 10/2020~present, Director, Louisiana Pollution Prevention (P2) Program
  • 05/2020~present, Graduate Program Advisor, Department of Construction Management, Louisiana State University
  • 09/2016~present, Assistant Director, LSU-Industrial Assessment Center, Louisiana State University
  • 08/2015~07/2021, Assistant Professor, Department of Construction Management, Louisiana State University
  • 08/2014~06/2015, Postdoctoral Fellow, School of Civil and Environmental Engineering, Georgia Institute of Technology

Research Interests

  • Construction Automation and Robotics
  • Occupational Safety and Health
  • Human Machine Interaction
  • Wearable Sensors and Data Analytics
  • Human Factor and Ergonomics
  • Facility Management and Energy Efficiency

Research Grants

  • Co-PI, Experimental Analysis of Floating Photovoltaic (FPV) Systems in Industrial Wastewater Treatment Ponds for Louisiana Community Resiliency, LSU Institute for Energy Innovation, January 2024 - December 2025
  • LSU PI, Promoting Energy Efficiency and Renewable Energy for Rural Louisiana Agricultural Business, U.S. Department of Agriculture (USDA), October 2023 - March 2025
  • PI, Louisiana Partnership for Pollution Prevention and Environmental Justice through the Economy, Energy and Environment (E3) Framework, U.S. Environmental Protection Agency (EPA), 10/2022 - 09/2024
  • LSU PI, Collaborative Research: FW-HTF-R: Wearable Safety Sensing and Assistive Robot-Worker Collaboration for an Augmented Workforce in Construction, National Science Foundation (NSF), 10/2022 - 09/2026
  • Co-PI, LSU-Industrial Assessment Center (Topic 1 and Topic 2), U.S. Department of Energy (USDOE), 10/2021 - 09/2026
  • PI, FW-HTF-P: Collaborative Research: Wearable Safety and Health Assistive Robot Collaboration for Skilled Construction Workers, National Science Foundation (NSF), 10/2020 - 05/2022
  • PI, Pollution Prevention (P2) for Manufacturers using Economy, Energy and Environment (E3) Framework, U.S. Environmental Protection Agency (EPA), 10/2020 - 09/2022
  • PI, Improving Construction Labor Productivity and Health through Wearable Exoskeleton, ISC Constructors LLC, 08/2019 - 12/2020
  • PI, Smart Performance Measurement System for Construction Specialty Contractors, ISC Constructors LLC, 08/2018 - 05/2019
  • PI, Strategies for Prioritizing Needs for Accelerated Construction after Hazard Events, TranSET, 03/2018 - 08/2019
  • PI, Decision-Making Tool for Road Preventive Maintenance Using Vehicle Vibration Data, TranSET, 03/2018 - 08/2019
  • PI, Application of Data Sensing Technology for Monitoring Project Progress and Environmental Sensitivity, Louisiana Associated General Contractor (LAGC), 01/2017 - 03/2018
  • Co-PI, Region 6 University Transportation Center for South-Central States (Tran-SET), U.S. Department of Transportation (USDOT), 11/2016 - 10/2021
  • Co-PI, LSU-Industrial Assessment Center, U.S. Department of Energy (USDOE), 10/2016 - 09/2021

Teaching Responsibilities

  • CM 2113 Construction Equipment
  • CM 7010 Research Methods for CM

Openings for Research Assistantship

RA positions are available in areas related to construction robotics and automation, AI and LLM, or human robot interation. Prefer to have Master's degree with strong research experience and publication record. Please email me your CV to further discuss your qualification in my research group.

Workforce Augmentation Lab

For more information about Dr. Chao Wang's research, please visit the lab webpage https://augmentworkforce.github.io/ .

 

LSU