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*_Notice and Invitation_*
Oral Defense of Doctoral Dissertation
The Volgenau School of Engineering, George Mason University

Ahmed Abu Jbara
Bachelor of Science, Islamic University - Gaza, 2002
Master of Science, George Mason University, 2006

  

*On Using Meta-Modeling and Multi-Modeling to Address Complex Problems*

Wednesday, July, 3, 2013, 2:00 -- 4:00 PM
Engineering Bldg., Room 3507

All are invited to attend.

*_Committee_*
Dr. Alexander H. Levis, Chair
Dr. Larry Kerschberg
Dr. Gabor Karsai

Dr. Abbas Zaidi

Dr. Sam Malek

*_Abstract_*

Models, created using different modeling techniques, usually serve 
different purposes and provide unique insights. While each modeling 
technique might be capable of answering specific questions, complex 
problems require multiple models interoperating to complement/supplement 
each other; we call this Multi-Modeling. To address the syntactic and 
semantic challenges of this multi-modeling approach for solving complex 
problems, a systematic methodology for developing multi-modeling 
workflows is presented. The approach is domain specific: Identification 
of the domain and the supporting modeling techniques is the first step. 
Then a Domain Specific Multi-Modeling Workflow Language (DSMWL), 
supported by a Domain Ontology, is developed and then used to construct 
workflows that capture interoperations between various models. The 
domain ontology provides semantic guidance to effect valid model 
interoperation.

The approach is illustrated using a case study from the Drug 
Interdiction and Intelligence domain. The Joint Inter-Agency Task Force 
(JIATF) - South, an agency well known for interagency cooperation and 
intelligence fusion, receives large amounts of disparate data regarding 
drug smuggling efforts. Analysis of such data using various modeling 
techniques is essential in identifying best Courses of Action (COAs). 
The proposed methodology is applied to the Drug Interdiction domain by 
performing domain analysis, developing a Domain Specific Multi-Modeling 
Workflow Language (DSMWL) and a Domain Ontology, and then using the 
DSMWL and the Domain Ontology to create workflows of model 
interoperations involving Social Networks, Timed Influence Nets, and 
Geospatial models.

A copy of this doctoral dissertation is on reserve at the Johnson Center 
Library.