Dr. Kaveh Mirzaei is a Lecturer at the College of Project Management, Built Environment, Asset & Maintenance Management (CoPBA), School of Engineering and Technology, Central Queensland University (CQUniversity). Kaveh holds a Bachelor degree in Civil Engineering, Masters degree in Construction Engineering and Management, and a PhD degree in Civil Engineering awarded by Monash University.
Kaveh has been researching productivity and sustainability issues in the construction industry and the built environment and has been active in productivity and sustainability research since 2017. His doctoral research was related to the development of automated methods for inspecting the quality of construction and infrastructure projects using Artificial Intelligence (AI), Computer Vision, and Data Science. He was also involved in the development of the Digital Twin model of the Monash Innovation Labs. Moreover, Kaveh was involved with Victorian Building Authority (VBA) in a project to evaluate emerging technologies for remote inspections of building work. During his Masters studies, Kaveh focused on building energy retrofit projects aimed at enhancing the sustainability of existing structures while providing financial and social incentives for stakeholders.
Ph.D. in Civil Engineering, Monash University
Dissertation title: AI-based geometric quality inspection of construction projects with point clouds
M.Sc. in Construction Engineering and Management, University of Tehran
Dissertation title: A Framework for decision making in energy retrofit of buildings with the emphasis on reducing the life cycle costs and undesired environmental impacts of buildings.
B.Sc. in Civil Engineering, Mazandaran University
Monash University
Victoria University
Monash College
1. Recipient of the Monash Co-Funded Graduate Scholarship for Exceptional Academic Achievements, Monash University, 2020.
2. Recipient of a Merit-Based Top-up Scholarship for Exceptional Academic Achievements, Building 4.0 CRC, 2021.
Structural Mechanics (CIV2206), Monash University
Engineering Methods (ENG1011), Monash University
Building Regulations (NBC2002), Victoria University
Building Engineering (NBS6003), Victoria University
Building Planning Process (NBC2001), Victoria University
Artificial Intelligence, Computer Vision, Digital Twin, Sustainability in Construction
1. Y. Fang, K. Khoshelham, E. Windholz, T. Ngo, AB. Al-Azzawi, S. Becker, S. Einizinab, S. Hu, T. Jiang, K. Mirzaei, M. Radanovic, and A. Sly, "Evaluation of emerging technologies for remote inspections of building work: Final Report. " 2023, Monash University. https://building4pointzero.org/projects/33-evaluation-of-emerging-technologies-for-remote-inspections-of-building-work/
2. R. Moehler, P. Das, Y. Fang, L. Geng, S. Hu, O. Hussain, I. Kuzmanovska, R. Williams, Y. Li, D. Maxwell, K. Mirzaei, N. Diban, S. Godbole, F. Kin Peng Hui, L. Zhang, T. Duc Ngo, " Building4.0crc#30: critical path impact through productisation", 2023, Monash University. doi: 10.13140/RG.2.2.16410.62402
I am currently accredited for supervision in the following:
Building - Automation and technology in building and construction
Development of automated methods for various knowledge areas of construction management using AI, Computer Vision, and Digital Twin.
Building - Building not elsewhere classified
Energy retrofit of buildings with the aim of reducing the total energy consumption and life cycle cost of buildings while improving the quality of life of residents.