Sujit Dey
We research and develop technologies that will enable next-generation rich, personalized, and interactive mobile applications.
IEEE Healthcom 2018 Best Paper Award
IEEE Healthcom 2018 Best Paper Award
CWC Presents 5G and Beyond, 2019
PhD. student Xueshi Hou explains her research
CWC Presents 5G and Beyond, 2019
PhD. student Sam ThorntonWelcome!
Our lab is headed by Professor Sujit Dey, who is also the Director of UC San Diego Center for Wireless Communications. 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, J. Zhang, M. Budagavi and S. Dey, "Head and Body Motion Prediction to Enable Mobile VR Experiences with Low Latency," to appear in 2019 IEEE Global Communications Conference (GLOBECOM'19), Waikoloa, HI, USA, Dec. 2019. PDF
W. Wei, C. McElroy, S. Dey, "Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation," IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 27, no. 9, pp. 1824-1835, Sept. 2019. PDF IEEE Xplore
Y. Ku and S. Dey, “Sustainable Vehicular Edge Computing Using Local and Solar-Powered Roadside Unit Resources,” to appear in 2019 IEEE 90th Vehicular Technology Conference (VTC-Fall), Honolulu, HI, USA, Sep. 2019. PDF
J. Leitner, P. Chiang and S. Dey, "Personalized Blood Pressure Estimation using Photoplethysmography and Wavelet Decomposition," to appear in Proc. of IEEE International Conference on E-health Networking, Application & Services (Healthcom'19), Bogotá, Colombia, Oct. 2019. pdf
W. Wei, and S. Dey, "Center of Mass Estimation for Balance Evaluation Using Convolutional Neural Networks," to appear in the Seventh IEEE International Conference on Healthcare Informatics, Xi'an, China, June 2019. PDF
News and Events
Professor Dey presents at ILSI North America Emerging Science Meeting
Professor Sujit Day presents Proactive and Personalized Healthcare Using IoMTs and Machine Learning at ILSI NA 2019 on Wednesday February 13, 2019NASEM Presentation: A New Wave of Applications Enabled by 5G
Professor Sujit Dey presenting at the National Academies of Sciences (NASEM), Engineering, and Medicine.Using Personal Data to Predict Blood Pressure
Engineers at UC San Diego used wearable off-the-shelf technology and machine learning to predict, for the first time, an individual’s blood pressure and provide personalized recommendations to lower it based on this data...
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.
Sponsors
