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We research and develop technologies that will enable next-generation rich, personalized, and interactive mobile applications. Our research includes developing new mobile cloud computing architectures and algorithms, media analytics and personalization techniques, adaptive cloud media delivery techniques, application aware green communication techniques that reduce power consumption of both mobile networks and devices, and hardware-software design technologies to ensure reliable, low-power, and variability tolerant systems.
Latest Publications
W. Wei, Y. Lu, E. Rhoden, and S. Dey, "User Performance Evaluation and Real-Time Guidance in Cloud-Based Physical Therapy Monitoring and Guidance System," Springer Multimedia Tools and Applications, pp. 1-31, 2017. PDF Springer Link
R. Guruprasad, and S. Dey, "User QoS-aware Adaptive RF Chain Switching for Power Efficient Cooperative Base Stations," in IEEE Transactions on Green Communications and Networking, vol. 1, no. 4, pp. 409-422, Dec. 2017. PDF Link
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Our research includes developing new mobile cloud computing architectures and algorithms, media analytics and personalization techniques, adaptive cloud media delivery techniques, application aware green communication techniques that reduce power consumption of both mobile networks and devices, and hardware-software design technologies to ensure reliable, low-power, and variability tolerant systems.
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