Naimeh Sadeghi
Assistant Professor, Construction Engineering and Management
Civil Engineering Department , K. N. Toosi University of Technology
Naimeh Sadeghi
Assistant Professor, Construction Engineering and Management,Civil Engineering Department
K. N. Toosi University of Technology
Website: https://wp.kntu.ac.ir/sadeghi
Research
Education
Experience
Publications
Data & Software
Teaching
Research lab:
Sustainable Engineering &
Project Automation Lab
(SEPAL)
Research Areas
  • Sustainable Construction and Green Buildings
  • Risk and Uncertainty Analysis
  • Building Information Modeling (BIM)
  • City Information Modeling (CIM)
  • Artifical Intelligence Applications in Construction
  • Simulation
  • Optimization of Built Environment
  • Intelligent Decision Support Systems (IDSS)
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)
Work Experience
  • Faculty member at K. N. Toosi University of Technology, Department of Construction Engineering and Management (2019 - Present)
  • Board member of Technosa Research Institute affiliated with the University of Tehran (2018 - Present)
  • Co-founder and sustainability expert at Sepid Company (2017 - Present)
  • Researcher at the University of Alberta (2006 - 2015)
Industrial Projects
  • Text mining for information enhancement in the oil refinery information model, PCL, Alberta, Canada (2022)
  • Development of a scheduling and delay analysis system for gas pipeline construction projects based on simulation, National Iranian Gas, Tehran, Iran (2021)
  • Development of a discrete event simulation model for planning the construction of refinery components, Aecon, Alberta, Canada (2015)
  • Creation of a predictive model for the efficiency of construction activities for refinery components, Aecon, Alberta, Canada (2013)
  • Development and expansion of a simulation model for the construction planning of oil pipelines in the workshop, Lockerbie and Hole, Alberta, Canada (2011)
Journal Papers
  • 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
  • Nabavi, A., Ramaji, I., Sadeghi, N. (2023), Native Interaction with Building Information Models Using Artificial Intelligence, ASCE International Conference on Computing in Civil Engineering, Oregon, USA, June 25-28.
  • Najafzadeh, M. R., Monfared, E., Mashoura, M., Sadeghi, N., (2023),Road Accidents Injury Severity Prediction via Machine Learning Algorithms, 13th International Congress on Civil Engineering, Iran University of Science and Technology, Tehran, Iran, October 17-22.
  • Sadeghi, N., Fayek, A. Robinson, and Mosayebi, S. P. (2013). Developing a fuzzy discrete event simulation framework within a traditional Simulation engine. Proceedings, 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. Robinson. (2011). A fuzzy-based approach for proactive scheduling of construction projects. Proceedings, 3rd International/9th Construction Specialty Conference, CSCE, Ottawa, Ont., Canada, June 14-17.
  • Sadeghi, N., and Fayek, A. Robinson. (2011). Fuzzy simulation for robust scheduling of construction projects. 2nd Canadian Graduate Student Colloquium on Computer-Assisted Construction Technologies (CCT), Ottawa, Ont., June 13-14.
  • Sadeghi, N., and Fayek, A. Robinson. (2008). A framework for simulating industrial construction processes. Proceedings, 2008 Winter Simulation Conference, IEEE, Miami, Florida, December 7-10.
  • «استفاده از الگوریتمهای یادگیری ماشین برای تخمین قیمت مسکن، موردمطالعه: شهرتهران» ، محمدجواد بشیرپو،نعیمه صادقی، ایمان معنمی نژاد ، اولین کنفرانس بین المللی فناوری اطلاعات مدیریت و کامپیوتر مازندران، شهریور ۱۴۰۲
  • «ارایه چارچوبی جهت کنترل خودکار ضوابط شهرداری در طراحی معماری بر اساس مدلسازی اطلاعات ساخت و برنامه نویس بصری» ، امین صلح میرزایی، نعیمه صادقی، دوازدهمین کنگره مهندسی عمران ، ۲۱ تا ۲۳ تیرماه ۱۴۰۰، دانشگاه فردوسی مشهد، مشهد، ایران.
  • «ترکیب مدل سازی اطالعات ساختمان و شبیه سازی عامل بنیان برای زمان بندی پروژه های ساخت»، پدرام علمی، نعیمه صادقی، دوازدهمین کنگره مهندسی عمران، ۲۱ تا ۲۳ تیرماه ۱۴۰۰، دانشگاه فردوسی مشهد، مشهد، ایران.
  • «ترکیب مدل سازی اطالعات ساختمان و شبیه سازی عامل بنیان برای زمان بندی پروژه های ساخت»، پدرام علمی، نعیمه صادقی، دوازدهمین کنگره مهندسی عمران، ۲۱ تا ۲۳ تیرماه ۱۴۰۰، دانشگاه فردوسی مشهد، مشهد، ایران.
  • «چارچوبی جهت پیاده سازی مدیریت ارتباطات در پروژه های ساخت و ساز با رویکرد BIM»، حمید اسلامی، سعید دهقانی، نعیمه صادقی، هشتمین کنفرانس ملی پژوهش های کاربردی در مهندسی عمران، معماری و مدیریت شهری ، شهریور ۱۴۰۰، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران.
  • «تسهیل تعمیر و نگهداری تاسیسات با ترکیب مدلسازی اطلاعات ساخت، واقعیت افزوده و استنتاج مبتنی بر مورد»، احسان محسن پور فرهانی، نعیمه صادقی ،سومین کنفرانس بین المللی مدلسازی اطلاعات ساختمان ،۲۷ تا ۳۰ مهر ۱۳۹۹، تهران، ایران.
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
Courses
  • Building Information Modeling
    Master's level, Khaje Nasir Toosi University of Technology (2019 - Present)
  • Systems Analysis and Design
    Master's level, Khaje Nasir Toosi University of Technology (2020 - Present)
  • Computer Programming
    Bachelor's level, Khaje Nasir Toosi University of Technology (2020 - Present)
  • Information Management Systems
    Bachelor's and Master's 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)