Main Page Research Curriculum Vitae Publications Related Work Useful Links	Research: I am a member of Mobile and Ubiquitous Computing Research Center. My research spans different areas of research in Mobile world: Middleware: I have worked with ARLES research team, headed by Valerie Issarny, on developing - iBICOOP - a lightweight middleware for mobile devices that addresses device and network heterogeneity to enable easy exchange, sharing and delivery of data. I remain engaged in Middlware research addressing issues of device and network heterogeneity, energy consumptions and mobility. Social Networking: Currently Social Networking is mainly on the web, e.g. facebook, Orkut; often users interact within their social circle offline and then update those interactions over the web. Given that now almost everyone - or at least people interested in doing Web-based social networking - carries a mobile device, the social networking must arrive at mobile device. This does not mean creating a mobile version of use of existing social networking websites on mobile phones but instead enabling the mobile devices to create the social network. In this reagard, I am pursuing reasearch in following directions: How to infer social networks from the data stored at the mobile device? How to enable mobile devices to support actions eminating becuase of social interactions - exchange, sharing of resoures. Mobile Learning: Mobile devices offer two advantages unique to them - ubiquity and personalization. This makes them the perfect platform for learning. Previously, I have worked with Dr. Maria Uther in developing Mobile Learning Software -MAC- for english-speaking Japanese speakers. My current focus is in developing learning software in indian context. India has around ~500 million mobile phone users covering almost all sections - rich, poor, urban, rural - of society. There is also a great need/desire of learning english and computers among indian population. However indian society is very diverse in terms of resources as well as socially - language, culture etc. Any proposed learning solution needs to address issues such as social diversity, mode of instructions as well as limitations of target device and network. Emerging Applications: As a member of Mobile and Ubiquitous Computing research group , I am engaged in research that leverage the research of sensor and mobile domain to offer advanced solutions in follwing areas: Energy Monitoting. Health Monitoring. CBS based Localizations.

Research:

I am a member of Mobile and Ubiquitous Computing Research Center. My research spans different areas of research in Mobile world:

Middleware: I have worked with ARLES research team, headed by Valerie Issarny, on developing - iBICOOP - a lightweight middleware for mobile devices that addresses device and network heterogeneity to enable easy exchange, sharing and delivery of data. I remain engaged in Middlware research addressing issues of device and network heterogeneity, energy consumptions and mobility.
Social Networking: Currently Social Networking is mainly on the web, e.g. facebook, Orkut; often users interact within their social circle offline and then update those interactions over the web. Given that now almost everyone - or at least people interested in doing Web-based social networking - carries a mobile device, the social networking must arrive at mobile device. This does not mean creating a mobile version of use of existing social networking websites on mobile phones but instead enabling the mobile devices to create the social network. In this reagard, I am pursuing reasearch in following directions:
- How to infer social networks from the data stored at the mobile device?
- How to enable mobile devices to support actions eminating becuase of social interactions - exchange, sharing of resoures.
Mobile Learning: Mobile devices offer two advantages unique to them - ubiquity and personalization. This makes them the perfect platform for learning. Previously, I have worked with Dr. Maria Uther in developing Mobile Learning Software -MAC- for english-speaking Japanese speakers. My current focus is in developing learning software in indian context. India has around ~500 million mobile phone users covering almost all sections - rich, poor, urban, rural - of society. There is also a great need/desire of learning english and computers among indian population. However indian society is very diverse in terms of resources as well as socially - language, culture etc. Any proposed learning solution needs to address issues such as social diversity, mode of instructions as well as limitations of target device and network.
Emerging Applications: As a member of Mobile and Ubiquitous Computing research group , I am engaged in research that leverage the research of sensor and mobile domain to offer advanced solutions in follwing areas:
- Energy Monitoting.
- Health Monitoring.
- CBS based Localizations.