Our lab is headed by Professor Sujit Dey, who is also the Director of UC San Diego Center for Wireless Communications, and the Director of the Institute for the Global Entrepreneur. Our research projects aim towards enabling preventive and personalized healthcare, mobile immersive multimedia experiences, and smart and clean transportation solutions, through innovations in multi-modal sensor fusion, deep learning algorithms and architectures, edge computing, multimedia networking, and sustainable communications.
Professor Dey has created inter-disciplinary programs involving multiple UCSD schools as well as community, city and industry partners; notably the Connected Health Program in 2016 and the Smart Transportation Innovation Program in 2018.
X. Hou and S. Dey, “Motion Prediction and Pre-Rendering at the Edge to Enable Ultra-Low Latency Mobile 6DoF Experiences,” to appear in IEEE Open Journal of the Communications Society, 2020. PDF IEEE Xplore
Y. -J. Ku, S. Sapra, S. Baidya and S. Dey, "State of Energy Prediction in Renewable Energy-driven Mobile Edge Computing using CNN-LSTM Networks," 2020 IEEE Green Energy and Smart Systems Conference (IGESSC), Long Beach, CA, 2020, pp. 1-7 pdf IEEE Xplore
S. Thornton, S. Dey, “Machine Learning Techniques for Vehicle Matching with Non-Overlapping Visual Features,” to appear in IEEE 3rd Connected and Automated Vehicles Symposium (CAVS), November 2020. pdf
S. Baidya, Y. Ku, H. Zhao, J. Zhao, S. Dey, "Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications", in Proc. of 2020 57th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, 2020, pp. 1-6 pdf IEEE Xplore
News and 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.