CP2R
(Collaboration framework to Prepare against, Respond to and Recover from disasters.) This research aims at providing a robust and reliable IT-supported collaboration framework that will greatly enhance relief efforts during disasters involving critical physical infrastructures (CPIs) through a combination of a set of collaboration patterns. To achieve this goal, the collective and collaborative behavior of insect societies as well as the fast propagation of some diseases will be explored and applied, along with existing epidemic-based communication algorithms. The CP2R project is a multidisciplinary project that integrates the academic areas of civil engineering, architecture, computer science, psychology, epidemiology, entomology as well as practical firefighting training.

C2D
A Conflict Management Plan to proactively monitor and control conflict, claim and dispute (C2D) occurrence and resolution in a project. The research focuses on categorizing the causes behind C2D occurrence in AEC Projects, determining a Project Conflict Profile, understanding the characteristics of the Dispute Avoidance and Resolution Techniques (DART) required to prevent/resolve C2D, determining the effectiveness of chosen DART to resolve C2D and minimize its impact, and performing a cost/benefit analysis of DART implementations for a given project.

DPM
(Dynamic Project Management) model and system. Construction processes are inherently dynamic and complex, having multiple feedbacks, in particular when they are performed concurrently. This dynamic and complex feature makes construction unstable and creates a lot of iterations among construction processes, which often lead to schedule and cost overruns. To address these challenging issues, DPM focuses on reducing the impact of non-value adding iterations during the construction process by identifying the cause of the iterations and assessing their impact magnitude along with impact paths. A license for this model and system is being negotiated by Intecap Inc for commercialization of the model and system and practicing of the pending patent.

D4AR
((Interactive Ubiquitous Visualization of Construction Progress Monitoring with D4AR (4 Dimensional Augmented Reality) Models.) The goal of this research is to address challenges of current systematic progress monitoring (i.e., time-consuming process, low-quality data and reports, non-systematic approaches, and visual complexities) through an interactive visualization of construction progress monitoring using 4 Dimensional Augmented Reality (D4AR) models. In this research, progress deviations (e.g., schedule, cost and performance) is visualized through superimposition of planned models over site photographs using different visualization techniques such as traffic light and weather metaphors, fish eye, and x-ray. Within the proposed framework, a project manager would be able to: 1) use the planned model as a baseline for progress monitoring; 2) collect progress data from site photographs during construction; 3) automatically analyze images and quantify built components; 4) automatically measure discrepancies between planned and built progress; and 5) visually represent progress deviations through superimposition of planned models with on-site photographs combining interactive visual imageries. In such an environment, project manager would be able to walk through or browse through a rich visual dataset of augmented progress photographs, analyze progress, make control decisions and effectively communicate with project participants.

I2SC
(Intelligent & Integrated Sustainable Construction.) The goal of this research is to develop a framework to identify and minimize the environmental impact of construction projects that create large quantities of greenhouse gas emissions as well as air, water and noise pollution during the construction phase. To achieve this goal, the research focuses on exploring the metrics for sustainable construction which can lead to reduced emissions and pollution.  Another objective is to develop an optimized approach for estimating, sensing and visualizing the greenhouse gas emissions and sustainable metrics during the construction phase, and to establish industry standards on emissions and energy consumption to guide the environmental effort of the industry.