Data Integration in Support to High Performance Construction Lifecycle with BIM

This project is an interdisciplinary research linking topics from Information Systems, and Construction Management. The research investigates the use of BIM (Building Information Modeling) to provide real time guidance for High Performance planning decisions made during the initial phases and accuracy predict the true performance of the constructed project.

With: J. Kevin Roth and Jon Davey (Southern Illinois University)
Period: 2009 - current

SBVR Tool Design and Development

SBVR (Semantics of Business Vocabulary and Business Rules) is a standard, proposed by Object Management Group (OMG), for modeling and representing vocabulary and rules of a business domain. The research developed a proof-of-the-concept prototype for implementing SBVR by extending it from EMF (Eclipse Modeling Framework).

Supervisor: Mark Linehan (IBM T.J. Watson Research Center)
Period: Summer 2008

RAMPART

The Rampart anti-terrorism planning system is the product of a three-year collaboration between the United States Marine Corps and the Penn State University - College of Information Sciences & Technology. Rampart is a decision model realized in a cognitive support system designed to be used by anti-terrorism officers, facilities planners, public works officers, and emergency response personnel. The model and system provide support for asset prioritization, calculation of anti-terrorism mitigation project utilities, and resource allocation.

Supervisor: Dr. Steve Haynes and Dr. Frank Ritter (Penn State University)
Period: Summer 2006 - Summer 2007

Ontologies in Action

An information architecture to support investigation of linked Health-Environment Interaction using ConceptVISTA, an ontology creation and visualization tool developed by researchers at the GeoVISTA Center, that allows users to define and link concepts and resources pertaining to a conceptual domain. Users can add and view additional information related to concepts and resources. ConceptVISTA stores ontologies in the Web Ontology Language (OWL) format and can import outside ontologies. ConceptVISTA provides users with a useful set of ontology management functions.

Supervisor: Dr. Fred Fonseca and Dr. Mark Gahegan (Penn State University)
Period: Fall 2004 - Summer 2006