Shahab Moeini

Paper and Presentation: Artificial Intelligence (AI) through unmanned systems for the construction sector

Abstract: The construction industry has the lowest productivity rate worldwide for decades; however, the managerial process in the construction industry has remained traditional and seems to be reluctant to embrace innovative technologies such as unmanned systems, AI and big data. This paper will focus on the implications to the integration of unmanned systems and AI in the construction industry.

Some of the key learning objectives from this paper include:

  • Identifying the rationale for maintaining a traditional approach within the construction industry despite reported low productivity rate
  • Recognizing the pitfalls and benefits inherent to adopting disruptive innovation such as Artificial Intelligence (AI) within the construction sector
  • Reviewing the means and methods necessary to integrate AI trough unmanned systems in order to improve construction management and productivity rate

PMI Talent Triangle Skill: Technical Project Management

Biography: Shahab Moeini is currently completing a doctorate degree in Business Administration with a focus on organizational management with the University of Liverpool in the UK. He holds a Master of Science in Geospatial Science from the University of Salzburg and a Bachelor of Science in Natural Resource Engineering (Water Resources) from the Azad University in Iran.

Shahab started his professional career as an emergency construction manager and worked six years as a manager in charge of rehabilitation and reconstruction of municipal infrastructure after natural disasters or conflicts. He then worked 10 years as a water resources and soil engineer in water infrastructure project management before joining international organizations as a water and habitat engineer, leading projects in conflict and post-conflict zones throughout Africa, Asia, and the Middle East. Shahab is the founder of the Unmanned Aerial System (UAV) research lab in SAIT school of construction and also lead researcher of UAVs and AI systems since 2012. In addition to his work as an professor, Shahab is also the director of a Canadian-based research and development consulting firm (Nusakan Inc), providing unmanned/robotic aerial, ground and under water services with in the context of e-project management to international organizations.