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
P. Chiang and S. Dey, "Personalized Effect of Health Behavior on Blood Pressure: Machine Learning Based Prediction and Recommendation," in Proc. of IEEE International Conference on E-health Networking, Application & Services (Healthcom'18), Ostrava, Czech, Sept. 2018. Nominated for best student paper award PDF
Y. Ku, P. Chiang and S. Dey, “Quality of Service Optimization for Vehicular Edge Computing with Solar-Powered Road Side Units,” in Proc. of 27th IEEE International Conference on Computer Communications and Networks (ICCCN'18), Hangzhou, China, Jul. 2018. PDF IEEE Xplore
P. Chiang, R. Guruprasad and S. Dey, "Optimal Use of Harvested Solar, Hybrid Storage and Base Station Resources for Green Cellular Networks," to appear in IEEE Transactions on Green Communications and Networking. PDF
X. Hou, S. Dey, J. Zhang and M. Budagavi, “Predictive View Generation to Enable Mobile 360-degree and VR Experiences,” Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network, Budapest, Hungary, August 2018, pp. 20-26. PDF
X. Hou, Y. Lu and S. Dey, “Novel Hybrid-Cast Approach to Reduce Bandwidth and Latency for Cloud-Based Virtual Space,” ACM Transactions on Multimedia Computing, Communications, and Applications, Vol 14, No 3s, Article 58 (June 2018), 25 pages. PDF
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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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