Zahra Pezeshki, MD - Shahrood University of Technology - Master holder in Electronic integrated circuits

Zahra Pezeshki


Shahrood University of Technology

Master holder in Electronic integrated circuits

Mashhad, Razavi-Khorasan | Iran (Islamic Republic of)

Main Specialties: Other

Additional Specialties: Electrical and electronic engineering

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Zahra Pezeshki, MD - Shahrood University of Technology - Master holder in Electronic integrated circuits

Zahra Pezeshki



Sep 2018
Shahrood University of Technology
Master of Engineering
Faculty of Electrical and Robotics Engineering
Jul 2002
Islamic Azad University of Sabzevar
Bachelor of Engineering
Department of Electrical Engineering


Sep 2018
Energy modeling for estimation of indoor temperature of the building based on the BIM platform
M.Sc Thesis in Electronic Integrated Circuits Engineering
Jan 2016
Research on Construction of Thermal Simulation Tool for Building and Use it through the Building Information Modeling (BIM) Platform
Feb 2015
6th International Conference on Integrated National Disaster Management
Best plan award
Sep 2014
The 3rd National Conference of Construction Innovative Technologies
Best paper award
Oct 2007
Device for Soil Moisture Measurement




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25PubMed Central Citations

Application of BEM and using BIM database for BEM: A review

Journal of Building Engineering

This paper reviews Building Energy Modeling (BEM) development using classification and review of articles for the recent years (2015-2018) to explore how much BEM methodologies have been used Building Information Modeling (BIM) database during this period. Nowadays, BEM and supervision are the most important challenges of smart cities, and BIM has a good and useful source of information for buildings. Recent innovations have provided the opportunity for construction industry to invest in state-of-the-art technologies and adopt new processes. Among these new methodologies is BIM, which has developed for the construction industry over the last two decades. Integrating graphical and non-graphical information, it enables construction industry stakeholders to work collaboratively for efficient project delivery throughout the life cycle of construction projects. The use of BEM in construction industry has come about to respond to the global call for energy conservation and sustainability. BEM tools and processes can be used to simulate energy performance, evaluate energy needs and optimize architectural design. This article reviews and classifies BEM applications into eight different categories such as prediction, estimation, consumption, optimal design, evaluation, efficiency, management, and optimization. In addition to examination of BEM in different categories and according to BIM that is a coordination model and include all information in construction industry as well as electrical, mechanical, and architectural information, this review paper wants to know how many articles have used BIM such as a database in this industry.

View Article
January 2019

1 Citation

295 Reads

Thermal transport in: Building materials

Construction and Building Materials

Building materials, have recently been demonstrated to have great potential for improving the heat transfer properties of solids. Building materials play different roles in construction industry and they should have suitable characteristic behaviors. Several characteristic behaviors of building materials have been identified, including thermal conductivity, heat flux and emissivity constant effects. This paper reviews the new approaches of building materials (such as Aluminum, Brick, Ceramic, Cement, Concrete, Glass, Marble, Plaster, and Granite) for thermal transport and other properties associated with them and in the following it discusses and classifies the nonthermal and thermal properties of building materials. At the end, this review points out several important clues in future issues.

View Article
August 2018

4 Citations

Impact Factor 3.485

85 Reads

Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey

Artificial Intelligence Review

Data Mining (DM) is a useful technique to discover useful patterns which lead to large searches. This method offers a reliable treatment of all developmental phases from problem and data understanding through data preprocessing to deployment of the results. DM plays an important role in energy efficiency. The construction industry has numerous sources information to compare and turn them into beneficial information. Artificial neural networks (ANN), fuzzy logic (FL) and neuro fuzzy (NF) are used techniques. Although the ANN and FL have many advantages, they also have certain defects. NF enjoys the advantages of both ANN and FL. In this paper, by comparing these techniques present in articles from 2009 to 2017, we have introduced four advantages for NF technique and indicated that the second advantage has been paid less attention other ones. The results reveal that the NF method is more successful than FL and ANN for predicting the thermal efficiency of buildings. However, NF with a learning phase proves to be computationally heavy and time-consuming, especially when the number of rules, the antecedents and the model delays are high. As a result, the proposed method, using nonlinear neural Model Predictive Controllers, is the best answer to thermal control strategies.

View Article
April 2018

1 Citation

Impact Factor 3.814

221 Reads

Applications of BIM: A Brief Review and Future Outline

Archives of Computational Methods in Engineering

This paper surveys building information modeling (BIM) development using classification and literature review of articles for the last decade (2000–2016) to explore how various BIM methodologies have been developed during this period. Based on the selected journals of different BIM applications and different online database of BIM, this article surveys and classifies BIM applications into ten different categories such as education system, medical system, economic system, electrical and electronics system, traffic control, image processing and feature extraction, manufacturing and system modeling, forecasting and predictions, BIM enhancements and social sciences. For each of these categories, this paper mentions a brief future outline. This review study indicates mainly three types of future development directions for BIM methodologies, domains and article types: (1) BIM methodologies are tending to be developed toward expertise orientation. (2) It is suggested that different social science methodologies could be implemented using BIM as another kind of expert methodology. (3) The ability to continually change and learning capability is the driving power of BIM methodologies and will be the key for future intelligent applications.

View Article
November 2016

19 Citations

Impact Factor 6.605

93 Reads