Welcome!
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. Springer Nature SharedIt Initiative, 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
X. Hou, Y. Lu and S. Dey, "Wireless VR/AR with Edge/Cloud Computing", in Proc. of the 26th IEEE International Conference on Computer Communications and Networks (ICCCN'17), Vancouver, Canada, July 2017. PDF
P. Chiang, S. Chiluvuri, S. Dey and T. Nguyen, "Forecasting of Solar Photovoltaic System Power Generation using Wavelet Decomposition and Bias-compensated Random Forest," in Proc. of the 9th Annual IEEE Green Technologies Conference (GreenTech), Denver, CO, Mar. 2017, pp. 260-6. PDF IEEE Xplore
Events
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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