
Milad Baghalzadeh Shishehgarkhaneh- Master of Construction Management
- PhD Student at Monash University (Australia)
Milad Baghalzadeh Shishehgarkhaneh
- Master of Construction Management
- PhD Student at Monash University (Australia)
About
35
Publications
11,762
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Citations
Introduction
Milad is a driven and accomplished individual, currently pursuing his Ph.D. in Civil Engineering at Monash University, Australia. With a passion for exploring innovative solutions in the field of infrastructure projects, he is deeply engaged in research focused on the identification of supply chain disruption risks' sources. Leveraging the power of cutting-edge technologies, such as AI methods and Blockchain, Milad strives to enhance the resilience and efficiency of infrastructure projects.
Current institution
Education
November 2018 - November 2020
September 2014 - August 2018
Publications
Publications (35)
The role of social media in construction site management is not thoroughly understood, particularly in its capacity to influence team dynamics and performance. This study investigates the impact of social media use (SMU) on team feedback (TF), knowledge sharing (KS), and member support (MS) within construction site teams in Australia. Drawing from...
The potential for energy efficiency in office buildings is critical, especially in regions facing rapid climate change impacts. This study investigates the use of phase change materials (PCMs) and double-skin façades (DSFs) to optimize energy performance in office buildings in Iran, a country with significant energy demands for heating and cooling....
The construction industry faces significant supply chain risks, necessitating effective management strategies. This paper presents a novel approach using transformer-based models for Named Entity Recognition (NER) to identify risk-related entities within construction supply chain management (SCRM) from news articles. It specifically explores the ef...
This study investigates the critical role of supply chain risk management (SCRM) as a factor for growth and competitive advantage in project management. While there is extensive literature on risk management, there is a notable gap in the development of a comprehensive risk taxonomy tailored to project management supply chains. Through a systematic...
Risk management in construction projects requires effective construction supply chain risk management (CSCRM). To gain insights into CSCRM research, this paper conducts a systematic literature review and bibliometric analysis covering the period from 1999 to 2023. The findings of this comprehensive analysis shed light on various aspects, including...
This systematic literature review examines the effects of social media use (SMU) and practices (SMPs) on team feedback (TF) and performance (TP) within the context of construction project management. It explores the complex interactions between SMU and SMPs and their impact on communication, collaboration, and stakeholder involvement in constructio...
In the Australian construction industry, effective supply chain risk management (SCRM) is critical due to its complex networks and susceptibility to various risks. This study explores the application of transformer models like BERT, RoBERTa, DistilBERT, ALBERT, and ELECTRA for Named Entity Recognition (NER) in this context. Utilizing these models,...
This systematic literature review explores the impact of social media use (SMU) and practices (SMPs) on team feedback (TF) and performance (TP) in construction project management. The study delves into the intricate dynamics between SMU and SMPs and their influence on communication, collaboration, and stakeholder engagement within construction proj...
In the animal kingdom, a mutually-beneficial ecosystemic coexistence and partnership in predation between wolves and ravens, known as the wolf-bird relationship, is observed in various cultures. The Wolf-Bird Optimizer (WBO), a novel metaheuristic algorithm inspired by this natural zoological relationship, is proposed. This method is developed base...
The construction industry in Australia is characterized by its intricate supply chains and vulnerability to myriad risks. As such, effective supply chain risk management (SCRM) becomes imperative. This paper employs different transformer models, and train for Named Entity Recognition (NER) in the context of Australian construction SCRM. Utilizing N...
Dam construction projects are considered as complicated, large, and heavy projects throughout the world, requiring high number of workers, stakeholders, equipment, cost, and also time. Hence, their resource management and trade-off are one of the most important tasks for project managers and schedulers. Concerning the Building Information Modeling...
This chapter aims to present a novel methodology for determining the optimal shape of double-curvature arch dams. The proposed approach differs from previous research by employing a multi-objective optimization approach, which generates a set of Pareto solutions instead of a single solution. The authors use the MOCGO algorithm, a multi-objective ve...
Metaheuristic algorithms (MH) are widely used in engineering applications due to their global search capabilities and independence from gradient information. Truss structures are commonly used in structural design, and the best solution typically involves minimizing the weight while ensuring adequate strength and stiffness. To achieve this goal, se...
In this paper, Squid Game Optimizer (SGO) is proposed as a novel metaheuristic algorithm inspired by the primary rules of a traditional Korean game. Squid game is a multiplayer game with two primary objectives: attackers aim to complete their goal while teams try to eliminate each other, and it is usually played on large, open fields with no set gu...
In recent years, applications of Blockchain technology (BCT) have been progressing at a galloping rate in miscellaneous fields, such as finance, education, travel, healthcare, and insurance. However, BCT has gained much popularity in the construction industry, especially in developed nations worldwide, as it can solve real-world problems, including...
In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic algorithm inspired by advanced physics principles regarding stability and different modes of particle decay. Twenty unconstrained mathematical test functions are utilized in different dimensions to evaluate the proposed algorithm's performance. For statistical purpose...
Optimization is an act of decision-making to reach a point in which the overall behavior of the considered system is acceptable by the field's experts. In recent decades, construction companies have been willing to provide housing services with lower construction costs that people of different kinds can afford. Although academics have introduced fo...
In recent years, dam construction has become more complex, requiring an effective project management method. Building Information Modeling (BIM) affects how construction projects are planned, designed, executed, and operated. Therefore, reducing execution time, cost, and risk and increasing quality are the primary goals of organizations. In this pa...
The present study uses a bibliometric and systematic literature review (SLR) to examine
the use of Building Information Modeling (BIM), the Internet of Things (IoT), and Digital Twins (DT)
in the construction industry. The network visualization and other approaches based on the Web of
Science (WOS) database and the patterns of research interactions...
Project managers should balance a variety of resource elements in building projects while taking into account many major concerns, including time, cost, quality, risk, and the environment. This study presents a framework for resource trade-offs in project scheduling based on the Building Information Modeling (BIM) methodology and metaheuristic algo...
In recent decades, due to the limitations of resources and equipment in the construction of engineering projects, the optimal use of existing facilities for reducing the overall costs of the projects has been of great importance. Due to the significant advances in optimization techniques, the application of these methods in engineering sciences, es...
Project managers should balance a variety of resource elements in building projects while taking into account many major concerns, including time, cost, quality, risk, and the environment. This study presents a framework for resource trade-offs in project scheduling based on the Building Information Modeling (BIM) methodology and metaheuristic algo...
In recent decades, due to the limitations of resources and equipment in
the construction of engineering projects, the optimal use of existing facilities for
reducing the overall costs of the projects has been of great importance. Due to
the significant advances in optimization techniques, the application of these
methods in engineering sciences...
In this paper, optimum design of building structures is conducted by metaheuristic algorithms due to the shortcomings of the conventional design methods in providing economical designs. The Harmony Search (HS) is utilized as the main algorithm which was developed based on the musical process of searching for the optimal condition of harmony to prod...
In this paper, a metaheuristic-based design approach is developed in which the structural design optimization of large-scale steel frame structures is concerned. Although academics have introduced form-dominant methods, yet using artificial intelligence in structural design is one of the most critical challenges in recent years. However, the Charge...
Optimization is an act of decision-making for reaching a point in which the overall behavior of the considered system is acceptable by the experts. In this paper, the optimum design of truss structures is considered utilizing the Material Generation Algorithm (MGA) as one of the recently developed metaheuristic algorithms in which the basic and adv...
Introduction
An engineering system consists of properly established activities and is put together to achieve a predefined goal. These activities include analysis, design, construction, research, and development. Designing and assembling structural systems, including buildings, bridges, highways, and other complex systems, have been developed over...
Global warming is a very serious issue that most countries in the world are facing its consequences; the construction industry has a significant impact on global warming by emitting greenhouse gases (GHG). The construction industry began to recognize the impact of its activities on the environment during the 1990s, and has faced some challenges tow...
امروزه انتشار گاز های گلخانه ای نظیر گاز کربن دی اکسید عامل اصلی گرمایش زمین و مشکلات زیست محیطی میباشد که ضروری است جهت جلوگیری از انتشار آن ها و رعایت اصول توسعه پایدار در تمامی صنایع مختلف از جمله صنعت ساخت و ساز که نقش بسزایی در این مسئله دارد، اقدامات جدی صورت گیرد. در این مقاله، ابتدا به معرفی توسعه پایدار، سازه های سبز و گواهینامه های ارزیا...
Questions
Questions (25)
Some novel and good topics
I'm working on my thesis about BIM.
Using Revit,how we can model a dam in Revit?
Cement industry is one of the source of producing carbon dioxide around the world. Now, how can i find a valid reference ( i.g. sites or papers )for calculating amount of producing cement in Canada?
Thank you.
Whether you're looking for an entry-level position or interviewing for a senior role, a question about achieving your goals is bound to arise. The most common way this is phrased is, "How do you plan to achieve your career goals?"
Nowadays IELTS exam is one of the important and vital challenge in our academic life especially for Master & Ph.D students.
In my opinion writing skill in academic ielts exam is more complex and confusing. How we can improve this skill? Both task 1 and task 2.
Thank you.
Learning is like nature—it’s all around us, even on a subconscious level. Our brains are built to absorb, filter and store information. Discussion about learning could actually stimulate some English learning amongst the students!
I'm working on the Fly Ash & GGBFS based geopolymer mortars in Lab. Can we consider the specifid weight of this mortars as 2000kg/m3? And when we use GGBFS instead of Fly ash, shall we reduce the content of ggbfs because of these higher specific weight?
Thank you.