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.
Y. Ku, B. Flowers, S. Thornton, S. Baidya, and S. Dey, “Adaptive C-V2X Sidelink Communications for Vehicular Applications Beyond Safety Messages,” 2022 IEEE 95th Vehicular Technology Conference (VTC-Spring), Helsinki, Finland, Jun. 2022, pp. 1-7 PDF
B. Kutukcu, S. Baidya, A. Raghunathan, and S. Dey. "Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems", accepted in ACM Trans. Embedd. Comput. Syst. PDF ACM Digital Library
S. Das, A. Miki, C. Blanchard, E. Sazonov, C. Gilhooly, S. Dey, C. Wolk, C. Khoo, J. Hill, R. Shook, “Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints”, Advances in Nutrition, Oxford University Press on behalf of the American Society for Nutrition Oxford Academic
Y. -J. Ku, S. Baidya and S. Dey, "Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing," in IEEE Transactions on Vehicular Technology, vol. 70, no. 12, pp. 13221-13237, Dec. 2021 PDF IEEE Xplore
J. J. Leitner, P. -H. Chiang and S. Dey, "Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2021.3085526. PDF IEEE Xplore
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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.