Jun Wang, Ph.D.

Director of Mississippi Transportation Research Center

Office: 3051 Richard A. Rula Engineering & Science Complex
jwang@cee.msstate.edu
P 662.325.7185

• Ph.D., Civil Engineering, McMaster University - Canada, 2018.
  • Dissertation: Situational Awareness for Construction Safety Risks Management
• M.S., Civil Engineering, Dalian University of Technology - China, 2013.
• B.S., Civil Engineering Management, Dalian University of Technology - China, 2010.

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

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

• NSF CAREER Award, Leveraging Virtual Reality (VR) and Artificial Intelligence (AI) to Maximize Skill Transfer in Human-Robot Interaction and Collaboration for Advanced Construction, 2024-2029 (expected), $557,391.00.
• 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.

• National Science Foundation
• Centers for Disease Control and Prevention
• Mississippi Department of Transportation
• Department of Labor
• U.S. Department of Transportation
• Mississippi State Board of Contractors
• Association for Iron & Steel Technology
• Federal Aviation Administration
• Federal Highway Administration
• The Deep South Center for Occupational Health and Safety

I am seeking motivated PhD students to join my research group in the area of Human-Robot Collaboration. This position offers the opportunity to work closely with physical robots and advanced systems, with a focus on human-robot interaction and collaboration in construction/engineering contexts, development and deployment using ROS, Gazebo, and related systems. This position provides a full Research Assistantship, including a very competitive stipend, full tuition coverage, and other standard benefits. Expected to start no later than Fall 2026.

Desired background and skills
Strong programming ability in Python and/or C++; Familiarity with ROS and robotic simulation tools (e.g., Gazebo) is preferred; Experience with embedded systems, sensors, or control systems is a plus; Interest in applying machine learning and computer vision for robotics applications.

If you are interested, please email me the resume/CV, research statement, and transcripts.