Site Search
Computer Science

Photos

Imran Ahmad, Ph.D.Dr. Imran Ahmad
Dr. Imran Ahmad
Dr. Ziad Kobti lecturingDr. Ziad Kobti
Dr. Ziad Kobti
Robin Gras, Ph.D.Dr. Robin Gras
Dr. Robin Gras
Xiaobu Yuan, Ph.D.Dr. Xiaobu Yuan
Dr. Xiaobu Yuan
Arunita Jaekel, Ph.D.Dr. Arunita Jaekel
Dr. Arunita Jaekel
Lambton TowerLambton Tower
Lambton Tower
Dr. Scott GoodwinDr. Scott Goodwin
Dr. Scott Goodwin
Dr. Luis RuedaDr. Luis Rueda
Dr. Luis Rueda
Dr. Robert KentDr. Robert Kent
Dr. Robert Kent
Windsor WaterfrontWindsor Waterfront Park
Windsor Waterfront Park
Alioune Ngom, Ph.D.Dr. Alioune Ngom
Dr. Alioune Ngom
Christie Ezeife, Ph.D.Dr. Christie Ezeife
Dr. Christie Ezeife
Jessica Chen, Ph.D.Dr. Jessica Chen
Dr. Jessica Chen

Extending external agent capabilities in healthcare social network

Add this event into your calendar using the iCAL format
  • Mon, 02/06/2017 - 1:00pm - 2:30pm




Extending external agent capabilities in healthcare social network

MSc Thesis Proposal by:

Nima Moradianzadeh

Date:  Monday, February 6th, 2017
Time:  1:00 pm – 2:30 pm
Location: 3105, Lambton Tower

Abstract: Social systems can be modeled and analyzed in computer systems using graph structures called social networks. Each agent in the network has a set of capabilities to perform its intended tasks. However, in exceptional circumstances, some of the agents do not have required capabilities to carry out their required tasks.

In this project, we are proposing a novel computational model to extend the agent’s capabilities by using the benefit of the social network. Our assumption is that each agent can cover its inabilities and perform its desired tasks through collaboration with other agents in the network.

The model is applicable in social health care system, particularly in palliative care network where different groups of agents are interacting with each other to provide a variety of services to the patient. The overall goal of this project is to improve the quality of services in the network and enhance the resource allocations process.

The performance and functionality of this proposed model are evaluated based on various synthetic networks. By using this approach, it is expected to observe a significant reduction in the operational costs and enhancement of service quality.

Thesis Committee:
Internal Reader: Dr.Mehdi Kargar
External Reader: Dr.Kathy Pfaff  
Advisor: Dr.Ziad Kobti

 

 



Margaret Garabon
csgradinfo@uwindsor.ca
(519)253-3000 ext.3714