B.Sc. (Sharif, Iran), M.Sc. (Iran), Ph.D. (Waterloo) Dr. Saiedeh Razavi is an Assistant Professor in the Department of Civil Engineering at McMaster University. She is also the Chair in Heavy Construction. She earned her Ph.D. degree in Civil Engineering at the University of Waterloo and joined McMaster from Concordia University where she was working as a postdoctoral fellow on automation in construction. Through her academic and industry involvement, Dr. Razavi has gained fourteen years of experience in collaborating and leading multi-disciplinary team-based projects in sensing, automation, information technology, intelligent systems, and their applications in transportation, infrastructure management, and logistics. Dr. Razavi holds academic appointments in the Department of Civil Engineering and at the McMaster-Mohawk Bachelor of Technology-Civil Engineering Technology Program. She is also an associate member of the McMaster’s School of Geography and Earth Sciences and an associate editor of the ASCE Journal of Computing in Civil Engineering. She teaches courses in project management, engineering economics, construction management, and optimization for engineering systems.

Research Interests

Sensing, automation, information technology, and artificial information for construction engineering and management, infrastructure management, logistics, and transportation. – Intelligent construction – Intelligent Transportation Systems – Intelligent infrastructure – Sustainable infrastructure – Construction safety – Automated infrastructure condition assessment and monitoring

Specific Research Interests and Activities

Location Aware Construction Location-aware computing in construction is an emerging area where the location of materials, equipment, and personnel can be used to derive knowledge about the state of the project. This stream of research use the awareness of the location to acquire information for scalable decision-making, progress tracking, proactive safety monitoring, and, subsequently, operation and maintenance of constructed facilities. Wireless sensing for road and transportation management This research is focusing on identifying the implications of implementing connected vehicles on transportation management in the Province of Ontario. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications promise to contribute to safety, mobility, and environmental sustainability.