PhD Defense - S.M. Niaz Arifin
|Start:||6/18/2013 at 10:30AM|
|End:||6/18/2013 at 2:30PM|
|Location:||384 Fitzpatrick Hall|
S.M. Niaz Arifin (Arif), a Computer Science and Engineering PhD candidate, will present and defend his dissertation:
"A SPATIAL AGENT-BASED MODEL AND A MULTI-DIMENSIONAL DATA WAREHOUSE FOR MALARIA RESEARCH" on June 18th at 11:00 am in 384 Fitzpatrick Hall
His advisor Dr. Gregory Madey, and committee members Dr. Frank Collins, Dr. Patrick Flynn and Dr. Jessica Hellmann will be in attendance.
Students and faculty are welcome to attend the presentation portion of the defense. Light refreshments will be served.
Human malaria is transmitted only by female Anopheles mosquitoes, which are regarded as the primary vector for transmission. Agent-Based Modeling (ABM) is a useful tool for representing complex biological systems. Following a biological core model of An. gambiae for malaria entomology, we develop an agent-based simulation model. We describe the verification & validation (V&V) of the models, the design and implementation of an spatial extension of the ABM, and a landscape generator tool. Using the spatial ABM, we demonstrate the effects of spatial heterogeneity, investigate the impact of vector control interventions, and describe an example application by integrating the ABM with a geographical information system (GIS). For malaria, there is a growing need to integrate the existing heterogeneous data sources. Data warehouses (DWs) and dimensional modeling (DM) can be viable alternatives to meet this challenge. We describe the design and implementation of a multi-dimensional DW, to be integrated into the VECNet CI analytical framework, which provides a robust way to store, access, and analyze malaria-related data.