My general research interest focuses on modeling construction processes using discrete-event simulation techniques. I have conducted research for modeling tunneling and industrial construction operations. During that research I managed to produce reliable models that have been used for testing and optimizing process performance for a number of real projects. They also provided test beds for a number of other researchers to test the applicability of new theories and analytical approaches (eg. Bayesian updating techniques) to some of these construction areas.
I also had completed research in the application of theory of inventive problem solving (TRIZ) to the construction domain as part of my PhD work. The use of this theory allowed for structuring the knowledge used in describing and analyzing a construction process in a new way that enables optimizing the topology of the process and not only its numerical parameters.
My current research aims at developing new modeling approaches for construction processes. These approaches have the potential to model and evaluate management best practices and allow prediction and quantification of their effect on construction performance under different work conditions. This research explores various synergies between discrete-event simulation and knowledge engineering techniques to provide different views for simulation models and to make them readable and accessible through different IT applications.
In addition, I am a co-applicant on CRD grant that started in January 2007. The main theme for that grant is the development of synthetic environments for selected construction processes. These are detailed large scale simulation models that utilize parallel and distributed simulation techniques to render a detailed image of the construction operations. My role in this grant will focus on building a synthetic environment for industrial construction processes.