Exploring high-impact, socially relevant applications for smartphones and sensors
The proliferation of networked embedded devices, such as wireless sensors, ushers in an entirely new class of computing platforms. We need new ways to organize and program them.
Unlike existing platforms, systems such as sensor networks are decentralized, embedded in the physical world, and interact with people. Resources are constrained. Uncertainty is a given, both in systems and about the environment. Many tasks require collaboration among devices, and the entire network may have to be regarded as a processor.
We are collaborating with Microsoft Research and members of the research community to develop new architectures, models, and tools for organizing and programming these systems, as well as innovative applications in areas such as security, transportation, and healthcare.
Our goal is to build systems that are easy to use, manage, and program; robust to failures; and secure. We believe that the traditional node-centric programming of embedded devices is inadequate and unable to scale up. We need new service architectures, inter-operation protocols, programming models that are resource- aware and resource-efficient across heterogeneous devices that can range from extremely limited sensor motes to more powerful servers.
Projects
- Cellphone as a Platform for Healthcare and Medical Services
- Incubating novel healthcare solutions that are accessible, affordable, and relevant for "smart" mobile phones
- Investigating services, systems, and infrastructures to provide solutions to the global healthcare community
- Intelligent Systems for Assisted Cognition
- Research to improve the lives of the cognitively or sensory impaired
- Development of technologies to facilitate everyday life for everyone
- Biomedical Computing – Selected Projects
- Using Smartphones to Enable Interaction and Communication with Autistic Children
Gondy Leroy, Claremont Graduate University; Gianluca De Leo, Old Dominion University - HealthNet: Networking the WESTs (Wireless Embedded medical SysTems)
Mario Gerla and Majid Sarrafzadeh, UCLA Department of Computer Science - OsteoConduct: Musculo-Skeletal Conduction for Secure Data Communication
Michael Liebschner and Lin Zhong, Rice University - Cortically-Coupled Computing
Rajesh Rao, University of Washington
- Using Smartphones to Enable Interaction and Communication with Autistic Children
Research Tools and Services
- Computational Science and Numerical Methods on the Academic Resource Center
- Database, HPC, and Cloud Services for Scientists (SQL Server analysis tools and services)
- Microsoft Office Add-Ins for Scientists
- Networked Embedded Sensing Toolkit from Microsoft Research
- More Advanced Research Tools and Services...
Publications
Health and WellBeing Topics
- Devices, Sensors, and Mobility
- Genomics in Healthcare
- Health and Wellbeing Papers and Presentations
- Case Studies
