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Research Projects

My general research domain is Computational Tools for Infrastructure Asset Management & Advanced 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 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 for applications in time, cost, and control of complex infrastructure projects; and

  • Advanced computerized models e.g., asset management, simulation, artificial intelligence, and project management.

Sample completed/on-going research on Construction Project Management:

  • Advanced repetitive scheduling systems for infrastructure projects

  • Agent-Based simulation for site layout planning

  • Critical Path Segments (CPS) Scheduling Method

  • Using Email and Voice (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

  • and delay/claim analysis

  • 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 optimization

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