Jun Wang, Ph.D.

• Smart Construction & Automation in Construction
• Sustainable and Resilient Infrastructure Systems & Smart Cities
• Human Behaviors and Factors
• Construction Safety & Health
• Building Information Modeling (BIM)
• Human-in-the-Loop Cyber-Physical Systems

• Construction Engineering and Management
• Advanced Information Technologies in Construction
• Sustainable Construction
• Construction Safety Management
• Construction Engineering Equipment & Methods

I am recruiting Ph.D. students all the time. The research will focus on construction engineering and management, construction safety, human behaviors, smart construction, automation in construction, and sustainable and resilient infrastructure systems. Please contact me for more information.

• Faculty advisor of the Associated General Contractors of America, Mississippi State University
• Reviewer of Automation in Construction, ASCE Journal of Construction Engineering and
  Management, ASCE Journal of Computing in Civil Engineering, and several international
  conferences
• Technical Committee Track Chair - Safety Track, 2019 ASCE International Conference on
  Computing in Civil Engineering
• Session Chair - Robotics, Automation, and Control Session, 2019 ASCE International Conference
  on Computing in Civil Engineering
• Best Paper Committee Member, 2019 ASCE International Conference on Computing in Civil
  Engineering
• Professional Memberships: ASCE Data Sensing and Analysis Committee; ASCE Visualization,
  Information Modeling, and Simulation Committee; Transportation Research Board (TRB)
  Construction Management Committee; TRB Artificial Intelligence and Advanced Computing
  Applications Committee; American Society of Safety Professionals (ASSE); American Society for
  Engineering Education (ASEE), etc.

• Best Paper Award. Jun Wang and Saiedeh Razavi. (2019). Network-Based Safety Leading Indicators for Safety Risk Analysis in Construction. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1787-1791. Oct 28- Nov 01, 2019, Seattle, WA.
• Nominated for the Governor General’s Award, McMaster University, 2018.
• Vanier Canada Graduate Scholarships (Vanier CGS), awarded by the Government of Canada, 2015-2018.
• International Excellence Award, McMaster University, 2014-2017.
• Best Presentation Award. Jun Wang and Saiedeh Razavi. (2015). An Unsafe Proximity Detection Model to Decrease False Alarms for Construction Applications. International Conference on Civil and Building Engineering Informatics (ICCBEI 2015), April 22-24, Tokyo, Japan.