Dr. Tarek hegazy: Research
My general research domain is Computational Tools for Asset & Project Management. The focus in these directions is to utilize recent advances in computational tools that are able to optimize construction operations, improve work productivity, and solve complex problems. Along with this focus is the simplification of the underlying advanced concepts through the use of customary computer platforms, such as spreadsheets, to broaden the applicability of such concepts in the industry. The main directions are:
Intelligent decision support systems for applications characterized by high uncertainty and risk;
Integration and optimization of techniques for time, cost, and quality control;
Developing computerized models e.g., asset management systems, discrete-event simulation, design and construction coordination, estimating, bidding, corrective actions, project control, forecasting, and productivity enhancement.
Sample completed/on-going research on Construction Project Management:
Critical Path Segments Scheduling Method
Using Email and IVR for automated as-built documentation
Very large scale schedule optimization
Building Information Modeling (BIM) for construction project management
Time-Cost Trade-off Analysis Using Genetic Algorithms
Optimization of Site-Layout Planning
Dynamic project control
Resource optimization in Projects with Repetitive Activities.
Parametric Cost Estimation of Highway Projects.
Modelling and Simulation of Construction Operations.
Integrating simulation, GIS, and Genetic Algorithms for resource
Sample completed/on-going research on Asset Management:
Very large scale Life Cycle Optimization for infrastructure networks
Speedy condition assessment using location-based technologies
Using optimized markov chains to improve deterioration modeling
Large scale optimization using evolutionary algorithms
Repair-based versus replacement-based asset management systems
Practical asset management systems for buildings and bridges
Efficient execution planning for spatially-distributed infrastructure networks
GIS, indoor GPS, and UMPCs to support asset management