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I am currently pursuing my Doctoral studies in Computer Science at the University of Texas, Arlington. I am a member of the Mobile, Ubiquitous, and Grid Computing (MUG) Group at the Center for Research in Wireless Mobility and Networking (CReWMaN). I have worked on resource and service discovery using agent technology in ubiquitous computing and am currently working on Ubiquitous Computing for Healthcare, focusing on middleware and privacy issues.
We are working on a Smart Home application called SmartBoard for assisted Healthcare. We envision that a patient monitoring system deployed in a smart home environment should not only perform efficient monitoring, but should also improve the quality of life of the inhabitants. Such a patient monitoring system should be service-oriented in nature and should be capable of gathering context from the environment and user behavior and learn the preferences of the inhabitants. The system should also predict the current situation that the user is in, and predict the posterior actions to be performed from the prior observations. For such a system to perform efficiently, we need a predictive framework to select pertinent context from the data obtained from the environment and the user.
We are also working on a middleware framework called Precision to be incorporated in SmartBoard. Precision stands for Privacy Enhanced Context-Aware Information Fusion in Ubiquitous Computing Environments. Since a patient monitoring system deals with the medical and health data of inhabitants, privacy is a major concern. We are working on a scheme for context privacy in ubiquitous environments.
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