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Research Interests
Description of Current Research
A method is developed to measure progress in different activities automatically by using laser scanning technology. The system is able to automatically generate interim schedules based on percent complete information obtained automatically from the new tool.
This study looks at the bidding process from the point of view of the construction owner. It detects unbalanced bids as well as collusive bids by using rigorous statistical analysis.
A visual scheduling and progress management system is developed by using Geographical Information Systems (GIS) that allows the manager to view progress simultaneously on the CPM network (or its bar chart representation) and the 3D drawings of the project, and that allows the manager to make informed managerial decisions.
Advanced linear scheduling systems are developed (ALISS and RUSS).
Different objective functions are used to optimize resource leveling in line-of-balance diagrams.
The factors that affect the selection of the most appropriate delay analysis method are investigated.
A contemporaneous delay analysis method is developed to allow parties to resolve delay claims in a way that is agreeable to all parties involved.
Different prediction models including statistical analysis, artificial neural networks, case-based reasoning, boosted decision trees, and a rule-based classification system using ant colony optimization are used to predict the outcome of construction claims.
A powerful hybrid decision model is developed (Universal Prediction Model) to predict the decisions of the courts in construction litigation.
The electronic retrieval of information (text analytics) from court records is explored. This information provides data for the prediction models mentioned in Item (8).
The possibilities of using Public Private Partnerships (PPPs) are explored to build and operate large and expensive infrastructure projects in the US.
The optimum combination of materials that provides maximum sustainability at minimum cost is obtained by using genetic optimization.
The adoption of LEED criteria is investigated in developing countries relative to local codes, standards, regulations, and technical knowhow.
An optimal material selection process is developed to support design decisions for LEED certification.
A formal post-mortem analysis is promoted that leads to a “lessons learned database” of construction management issues for use in future projects.
A Google-docs-based “best practices” system is developed to acquire, store and disseminate information necessary for sustainability-related decisions.
A time-series-based model is developed to measure organizational flexibility that allows construction companies to expand and retract in reaction to periodic peaks and slumps in construction activity.
The level of learning on the part of construction workers is investigated in safety training sessions.
Worker safety issues are evaluated in nighttime highway construction and maintenance.
The impact of organizational learning is investigated in the context of the design firm.
The impact of the European Union enlargement on the European construction industry is investigated.
The link between company culture relative to scheduling activities vs. construction delays is investigated in the US and India.
The factors that motivate construction project managers are investigated; construction project managers’ human values are assessed; the motivation/values linkage is researched.
The performance of minority based small and medium enterprises in construction is measured and compared with the performance of non-minority companies.
The performance of international joint ventures is assessed by using structural equation modeling.
The managerial competencies of female and male construction managers are measured and compared.
The planning of the design, construction and brand-related activities is researched for hospitality projects.
The risk of construction company default is researched and a model is developed to predict serious decline than can lead to failure.
The critical issues in subcontracting are identified and feasible solutions are recommended.
The marketing practices of construction companies are critically reviewed.
The rate of innovation in construction management is analyzed and its effects on the construction activity are assessed.
A model is developed that allows construction executives to make informed decisions concerning the short-term and long-term expansion policy of a company to international markets.
The effectiveness of an internal pre-tender project peer review is investigated by means of an industry wide study.
A comparative study is conducted that investigates the expectations of the different parties relative to construction management services, and that tries to reconcile the differences.
A simulation model is used to prove that total project cost is minimized if supply chain buffers are not minimized under special circumstances such as fluctuating cash flows, inflation, and various discount schemes.
Different prediction tools such as artificial neural networks, case based reasoning, and boosted decision trees are used to predict the cost estimate of low-rise reinforced concrete structures at the early stages of design.
Different innovation diffusion models are used to explain the speed with which CAD technologies spread in the construction industry.
The impact of BIM on construction management practices is researched and an up-to-date syllabus is developed to teach how to manage projects designed by BIM.
Description of Current Research
A method is developed to measure progress in different activities automatically by using laser scanning technology. The system is able to automatically generate interim schedules based on percent complete information obtained automatically from the new tool.
This study looks at the bidding process from the point of view of the construction owner. It detects unbalanced bids as well as collusive bids by using rigorous statistical analysis.
A visual scheduling and progress management system is developed by using Geographical Information Systems (GIS) that allows the manager to view progress simultaneously on the CPM network (or its bar chart representation) and the 3D drawings of the project, and that allows the manager to make informed managerial decisions.
Advanced linear scheduling systems are developed (ALISS and RUSS).
Different objective functions are used to optimize resource leveling in line-of-balance diagrams.
The factors that affect the selection of the most appropriate delay analysis method are investigated.
A contemporaneous delay analysis method is developed to allow parties to resolve delay claims in a way that is agreeable to all parties involved.
Different prediction models including statistical analysis, artificial neural networks, case-based reasoning, boosted decision trees, and a rule-based classification system using ant colony optimization are used to predict the outcome of construction claims.
A powerful hybrid decision model is developed (Universal Prediction Model) to predict the decisions of the courts in construction litigation.
The electronic retrieval of information (text analytics) from court records is explored. This information provides data for the prediction models mentioned in Item (8).
The possibilities of using Public Private Partnerships (PPPs) are explored to build and operate large and expensive infrastructure projects in the US.
The optimum combination of materials that provides maximum sustainability at minimum cost is obtained by using genetic optimization.
The adoption of LEED criteria is investigated in developing countries relative to local codes, standards, regulations, and technical knowhow.
An optimal material selection process is developed to support design decisions for LEED certification.
A formal post-mortem analysis is promoted that leads to a “lessons learned database” of construction management issues for use in future projects.
A Google-docs-based “best practices” system is developed to acquire, store and disseminate information necessary for sustainability-related decisions.
A time-series-based model is developed to measure organizational flexibility that allows construction companies to expand and retract in reaction to periodic peaks and slumps in construction activity.
The level of learning on the part of construction workers is investigated in safety training sessions.
Worker safety issues are evaluated in nighttime highway construction and maintenance.
The impact of organizational learning is investigated in the context of the design firm.
The impact of the European Union enlargement on the European construction industry is investigated.
The link between company culture relative to scheduling activities vs. construction delays is investigated in the US and India.
The factors that motivate construction project managers are investigated; construction project managers’ human values are assessed; the motivation/values linkage is researched.
The performance of minority based small and medium enterprises in construction is measured and compared with the performance of non-minority companies.
The performance of international joint ventures is assessed by using structural equation modeling.
The managerial competencies of female and male construction managers are measured and compared.
The planning of the design, construction and brand-related activities is researched for hospitality projects.
The risk of construction company default is researched and a model is developed to predict serious decline than can lead to failure.
The critical issues in subcontracting are identified and feasible solutions are recommended.
The marketing practices of construction companies are critically reviewed.
The rate of innovation in construction management is analyzed and its effects on the construction activity are assessed.
A model is developed that allows construction executives to make informed decisions concerning the short-term and long-term expansion policy of a company to international markets.
The effectiveness of an internal pre-tender project peer review is investigated by means of an industry wide study.
A comparative study is conducted that investigates the expectations of the different parties relative to construction management services, and that tries to reconcile the differences.
A simulation model is used to prove that total project cost is minimized if supply chain buffers are not minimized under special circumstances such as fluctuating cash flows, inflation, and various discount schemes.
Different prediction tools such as artificial neural networks, case based reasoning, and boosted decision trees are used to predict the cost estimate of low-rise reinforced concrete structures at the early stages of design.
Different innovation diffusion models are used to explain the speed with which CAD technologies spread in the construction industry.
The impact of BIM on construction management practices is researched and an up-to-date syllabus is developed to teach how to manage projects designed by BIM.
Research Interests
Papers共 261 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
BUILDINGSno. 3 (2024)
The 1st International Online Conference on Buildingsno. 1 (2024): 60
IEEE Trans. Engineering Managementno. 99 (2024): 8548-8561
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENTno. 5 (2024)
Sustainabilityno. 13 (2024): 5374
CONSTRUCTION MANAGEMENT AND ECONOMICS (2024)
Journal of Construction Engineering and Managementno. 8 (2024)
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENTno. 8 (2024)
AUTOMATION IN CONSTRUCTION (2023): 104807-104807
crossref(2023)
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Author Statistics
#Papers: 266
#Citation: 8370
H-Index: 55
G-Index: 78
Sociability: 6
Diversity: 1
Activity: 1
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