Computer Science Department Thesis Defense - Lisa Ewen

Event Date: 
Tuesday, May 18, 2021 - 12:00pm to 1:30pm EDT
Event Location: 
Event Contact Name: 
Rachael Wang
Event Contact E-mail: 

Please join the Computer Science Department for the upcoming thesis defense:

Presenter: Lisa Ewen

Thesis title: Medical Workflow Design and Planning Using Node-RED Data Fusion

Abstract: The space of clinical planning requires a complex arrangement of information, often not capable of being captured in a singular dataset. As a result, data fusion techniques can be used to combine multiple data sources as a method of enriching data to mimic and compliment the nature of clinical planning. These techniques are capable of aiding healthcare providers to produce higher quality clinical plans and better progression monitoring techniques. Clinical planning and monitoring are important facets of healthcare which are essential to improving the prognosis and quality of life of patients with chronic and debilitating conditions such as COPD. To exemplify this concept, we utilize a Node-Red-based clinical planning and monitoring too that combines data fusion techniques using the JDL Model for data fusion and a domain specific language which features a self-organizing abstract syntax tree.

Committee Members:
Dr. Sabah Mohammed (supervisor, committee chair), Dr. Arnold Kim (co-supervisor), Dr. Jinan Fiaidhi, Dr. Carlos Zerpa (Kinesiology)

Please contact for the Zoom link.
Everyone is welcome.