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
X. Hou, Y. Lu and S. Dey, "Wireless VR/AR with Edge/Cloud Computing", to appear in Proc. of IEEE International Conference on Computer Communications and Networks (ICCCN'17), Vancouver, Aug. 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," IEEE GreenTech, Denver, CO, USA, 2017. PDF
W. Ni, P. Chiang, and S. Dey, "Energy Efficient Hybrid Beamforming Design in Massive MU-MIMO System via Eigenmode Selection," to appear in Proc of IEEE Green Computing and Commun (GreenCom-2017). PDF
C. Verma, S. Bhatkar, M. Hart, A. Parker-Wood, S. Dey, "Improving Scalability of Personalized Recommendation Systems for Enterprise Knowledge Workers". IEEE Access,Jan. 2016. IEEE Xplore
Y. Lu, and S. Dey, "JAVRE: A Joint Asymmetric Video Rendering and Encoding Approach to Enable Optimized Cloud Mobile 3D Virtual Immersive User Experience", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol 6, Issue 4, pp 544-559, 2016. PDF
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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