Research lab:

Built Environment for
Sustainable Tomorrow
(BEST)

https://BEST-research-lab.github.io/web/
Innovative Technologies Center
for Construction Management,

Research Areas

AI- and Data-Driven Decision Support for Construction and Infrastructure Management
Building Information Modeling, Digital Twins, and Information Management for the Built Environment
Simulation and Optimization of Construction Operations and Project Delivery Systems
Risk, Uncertainty, Productivity, and Delay Analysis in Construction Projects
Infrastructure Asset Management, Maintenance Planning, and Road Machinery Optimization
Sustainable and Smart Built Environment Systems

Education

Ph.D. in Civil Engineering - Construction Engineering and Management (2015)
University of Alberta, Edmonton, Canada
M.Sc. in Civil Engineering - Construction Engineering and Management (2009)
University of Alberta, Edmonton, Canada
B.Sc. in Computer Engineering - Software Engineering (2006)
Shiraz University, Shiraz, Iran

Certificates

EDGE (Excellence in Design for Greater Efficiencies) Certificate
Received from IFC (International Finance Corporation)
(2018)

Professional Experience

Faculty Member, Department of Construction Engineering and Management, K. N. Toosi University of Technology (2019–Present)
Founder and Director, BEST Research Lab — Built Environment for Sustainable Tomorrow, Innovative Technologies Center for Construction Management, K. N. Toosi University of Technology (2024–Present)
Board Member, Technosa Research Institute, affiliated with the University of Tehran (2018–Present)
Co-Founder and Sustainability Specialist, Sepid Company (2017–2023)
Researcher, University of Alberta (2006–2015)

Industrial Projects

BIM- and Image Processing-Based Model for Road Safety Assessment, Iran Road Maintenance and Transportation Organization (2026–Present)
Human Resources Risk Analysis for Tabriz Regional Water Company (2026–Present)
National-Scale Optimization Model for the Allocation and Distribution of Road Maintenance Machinery, Iran Road Maintenance and Transportation Organization, Tehran, Iran (2023–2026)
Text Mining for Information Enrichment in Oil Refinery Information Models, PCL, Alberta, Canada (2022–2023)
Simulation-Based Scheduling and Delay Analysis System for Gas Pipeline Construction Projects, National Iranian Gas Company, Tehran, Iran (2019–2022)
Discrete-Event Simulation Model for Construction Planning of Refinery Components, Aecon, Alberta, Canada (2014–2016)
Predictive Model for Estimating the Productivity of Refinery Construction Activities, Aecon, Alberta, Canada (2013–2014)
Development and Extension of a Simulation Model for Field-Level Oil Pipeline Construction Planning, Lockerbie and Hole, Alberta, Canada (2011–2013)

Journal Papers

Ghanbari Dazmiri, S. S., Sadeghi, N., & Nasihatkon, B. (2026). A framework for automated progress monitoring of concrete building projects based on computer vision and building information modeling. Journal of Structural and Construction Engineering, 13(02), 45-68. 10.22065/jsce.2025.523189.3732
Sadeghi, N., Mohsenpoor Farhani, E., & Khayat Baharlouie, M. A. (2026). Integrating artificial intelligence, building information modeling, and augmented reality to enhance facility maintenance. Intelligent Buildings International, 1-22. 10.1080/17508975.2025.2582526
Lotfi Karkan, N., Shakeri, E., Sadeghi, N., & Banihashemi, S. (2025). Smart surveillance of structural health: A systematic review of deep learning-based visual inspection of concrete bridges using 2D images. Infrastructures, 10(12), 338. 10.3390/infrastructures10120338
Hodavand, F., Ramaji, I. J., Sadeghi, N., & Zandi Goharrizi, S. (2025). Digital twin-enabled framework for intelligent monitoring and anomaly detection in multi-zone building systems. Buildings, 15(22), 4030. 10.3390/buildings15224030
Sadeghi, N., & Farmani Rastgoo, F. (2025). A framework for semi-automatic scheduling and 4D modeling based on visual programming and BIM. Sharif Journal of Civil Engineering. Article page
Sadeghi, N., Gerami-Seresht, N., Pedrycz, W., & Fayek, A. R. (2025). Fuzzy granular computing for evaluating average uncertainty in machine learning models. Engineering Applications of Artificial Intelligence, 160, 111723. 10.1016/j.engappai.2025.111723
Sadeghi, N., Dehghani, M. S., & Ingolfsson, A. (2024). Choice of Probability Distributions for Activity Durations in Project Networks with Limited Sample Size. Journal of Construction Engineering and Management, 150(3), 04024002. 10.1061/JCEMD4.COENG-13753
Jafari, M., Khoshand, A., Sadeghi, N., & Mirzanagh, P. A. (2023). A comparative LCA of external wall assemblies in context of Iranian market: considering embodied and operational energy through BIM application. Environmental Science and Pollution Research, 1-16. 10.1007/s11356-023-31451-2
Sadeghi, N., & Gerami-Seresht, N. (2023). Improving occupational safety in office spaces in the post-pandemic era. Sustainable Cities and Society, 98, 104781. 10.1016/j.scs.2023.104781
Hodavand, F., Ramaji, I. J., & Sadeghi, N. (2023). Digital Twin for Fault Detection and Diagnosis of Building Operations: A Systematic Review. Buildings, 13(6), 1426. 10.3390/buildings13061426
Sadatnya, A., Sadeghi, N., Sabzekar, S., Khanjani, M., Tak, A. N., & Taghaddos, H. (2023). Machine learning for construction crew productivity prediction using daily work reports. Automation in Construction, 152, 104891. 10.1016/j.autcon.2023.104891
Nabavi, A., Ramaji, I., Sadeghi, N., & Anderson, A. (2023). Leveraging Natural Language Processing for Automated Information Inquiry from Building Information Models. Journal of Information Technology in Construction (ITcon), 28(13), 266-285. 10.36680/j.itcon.2023.013 10.36680/j.itcon.2023.013
Sadeghi, N., Fayek, A. R., & Gerami Seresht, N. (2016). A fuzzy discrete event simulation framework for construction applications: Improving the simulation time advancement. Journal of Construction Engineering and Management, 142(12), 04016071. 10.1061/(ASCE)CO.1943-7862.0001195
Elbarkouky, M. M., Fayek, A. R., Siraj, N. B., & Sadeghi, N. (2016). Fuzzy arithmetic risk analysis approach to determine construction project contingency. Journal of Construction Engineering and Management, 142(12), 04016070. 10.1061/(ASCE)CO.1943-7862.0001191
Sadeghi, N., Fayek, A. Robinson, and Gerami Seresht, N. (2015). Queue performance measures in construction simulation models containing subjective uncertainty. Automation in Construction, 60: 1-11. 10.1016/j.autcon.2015.07.023
Sadeghi, N., Fayek, A. Robinson, and Ingolfsson, A. (2012). Simulation-based approach for estimating project completion time of stochastic resource-constrained project networks. Journal of Computing in Civil Engineering, ASCE, 26(4): 558-560. 10.1061/(ASCE)CP.1943-5487.0000165
Sadeghi, N., Fayek, A. Robinson, and Pedrycz, W. (2010). Fuzzy Monte Carlo simulation and risk assessment in construction. Computer-Aided Civil and Infrastructure Engineering, 25(4): 238-252. 10.1111/j.1467-8667.2009.00632.x

Conference papers

Eskash, H., and Sadeghi, N. (2026). Agent-Based Simulation for Productivity Optimization in Linear Pipeline Projects. Proceedings of the 14th International Congress on Civil Engineering.
Abbasi Chenari, A. H., and Sadeghi, N. (2024). Delay Analysis in Construction Projects Using Simulation and 5D Building Information Modeling. Proceedings of the 9th International Conference on Civil Engineering, Architecture, and Sustainable Green City.
Bashirpour, M. J., Sadeghi, N., and Moanemi Nejad, I. (2024). Application of Machine Learning Algorithms for Housing Price Estimation: A Case Study of Tehran. Proceedings of the 1st International Conference on Information Technology, Management, and Computer Science.
Nabavi, A., Ramaji, I., and Sadeghi, N. (2023). Native Interaction with Building Information Models Using Artificial Intelligence. Proceedings of the ASCE International Conference on Computing in Civil Engineering, Oregon, USA, June 25–28.
Najafzadeh, M. R., Monfared, E., Mashoura, M., and Sadeghi, N. (2023). Road Accident Injury Severity Prediction Using Machine Learning Algorithms. Proceedings of the 13th International Congress on Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
Raeisi, R., and Sadeghi, N. (2023). A BIM-Based Framework for Estimating Building Material Costs and Web-Based Visualization. Proceedings of the 11th International Conference on Civil Engineering, Architecture, and Urban Management.
Sadeghi, N. (2022). An Agent-Based Modeling Framework for Assessing the Impact of COVID-19 Interventions on Construction Projects. Proceedings of the 1st International Conference on Sustainable Construction Design and Management.
Sadeghi, N., Fayek, A. R., and Mosayebi, S. P. (2013). Developing a Fuzzy Discrete-Event Simulation Framework within a Traditional Simulation Engine. Proceedings of the IFSA-NAFIPS Joint Congress 2013: International Fuzzy Systems Association World Congress and North American Fuzzy Information Processing Society Annual Meeting, Edmonton, Alberta, Canada, June 24–28.
Sadeghi, N., and Fayek, A. R. (2011). A Fuzzy-Based Approach for Proactive Scheduling of Construction Projects. Proceedings of the 3rd International / 9th Construction Specialty Conference, Canadian Society for Civil Engineering, Ottawa, Ontario, Canada, June 14–17.
Sadeghi, N., and Fayek, A. R. (2011). Fuzzy Simulation for Robust Scheduling of Construction Projects. Proceedings of the 2nd Canadian Graduate Student Colloquium on Computer-Assisted Construction Technologies, Ottawa, Ontario, Canada, June 13–14.
Sadeghi, N., and Fayek, A. R. (2008). A Framework for Simulating Industrial Construction Processes. Proceedings of the 2008 Winter Simulation Conference, IEEE, Miami, Florida, USA, December 7–10.

Supervised Theses

A framework based on building information modeling for the maintenance and repair of facilities using augmented reality and case-based reasoning, Mohsen Pourfahani Ehsan (2021)
Examining the effectiveness of building information modeling in improving the motivation of construction workers, Milad Ramazani Moghadam (2021)
Developing a machine learning-based framework to facilitate the extraction of building information models in construction projects, Armin Nabavi (2021)
Integration of discrete event simulation (DES) and building information modeling (BIM) for delay analysis in linear construction projects, Omid Yarivand (2021)
Grouping and scheduling maintenance activities for building facilities based on building information modeling, Mohammadreza Moghaddas (2022)
Combining building information modeling and agent-based simulation for project scheduling in construction, Pendar Amli (2022)
Application of visual programming for simulating construction processes based on building information modeling, Farbod Faramani Rastgoo (2023)
Privacy investigation of residents based on building information modeling, Sepehr Jahantab (2023)
Delay analysis using simulation and 5D BIM: A case study of gas pipeline, Amirhossein Abbasi Chenari (In Progress)
Predicting the prices of metaverse lands using machine learning, Seyed Iman Mousavi Natanzi (In Progress)
Monitoring construction project progress based on computer vision and building information modeling, Seyed Saeed Ghanbari Dazmiri (In Progress)
Digital twins and machine learning to predict building conditions , Faeze Hedavand (In Progress)
Predicting energy consumption of buildings based on machine learning and agent-based modeling considering user behavior, Faeze Fakharan (In Progress)
Identifying safety risks using ontology and building information modeling: A case study of gas pipeline project, Zohre Amrollahi Bayuki (In Progress)

Datasets

Fakharan, F.; Sadeghi, N. (2024), “Room-level data of Simulated Energy consumption and Ventilation dynamics (RSimEV)”, Mendeley Data, V1, 10.17632/x8vvch2sw9.1
Sadeghi, N.; Dehghani, M. S. (2024), “Impact of limited data availability on the accuracy of project duration estimation in project networks”, Mendeley Data, V3, 10.17632/bjfdw6xbxw.3

Software

SimPM(Simulation for Project Management): A discrete event simulation library for project management in Python.
Installation: pip install simpm
Project link: https://github.com/Project-SimPM
AgentBuilt: A tool that enables agent-based modeling in the built environment using Python.
Project link: https://github.com/Project-AgentBuilt/AgentBuilt
CoDiSS(Confection Disease Simulation Spread): A tool to simulate the spread of confection disease in buildings using an agent-based simulation approach.
Project link: https://github.com/Project-CoDiSS/CoDiSS

Courses

Artificial Intelligence
Undergraduate level, K. N. Toosi University of Technology (2025–Present)
Building Information Modeling
Graduate level, K. N. Toosi University of Technology (2019–Present)
Systems Analysis and Design
Graduate level, K. N. Toosi University of Technology (2020–Present)
Computer Programming
Undergraduate level, K. N. Toosi University of Technology (2020–Present)
Information Management Systems
Undergraduate and Graduate levels, Iran University of Science and Technology (2019)

Reviewer for Journals and Conferences

Civil Engineering Congress
International Construction Law Conference
Construction Innovation: Information, Process, Management
Applied Intelligence
Numerical Methods in Civil Engineering
Computational and Applied Mathematics

Awards and Honors

Grant from the Ministry of Science, Research, and Technology for "Compliance Control Based on Building Information Modeling and Visual Programming" (2021)
Grant from the Ministry of Science, Research, and Technology for "Development of an Integrated System Based on Building Information Modeling for Maintenance and Repair of Facilities Using Augmented Reality and Case-Based Reasoning" (2021)
Queen Elizabeth II Graduate Scholarship, University of Alberta (2012)
Doctoral Entrance Scholarship, University of Alberta (2009)
Robert Stollery / USF & G Award, Canadian Insurance Company (2009)
First Rank in Computer Engineering, Shiraz University (2006)
Bronze Medal in the 14th National Physics Olympiad of Iran (2002)