The Mobile Systems Design Lab at the Center for Wireless Communications
The MESDAT Lab is located in CWC in Franklin Antonio Hall, UC San Diego
Professor and Director, Sujit Dey
We research and develop technologies that will enable next-generation rich, personalized, and interactive mobile applications.
The Center for Wireless Communications Presents the 2023 Research Review!
The CWC Research Review at Rady School of Management, UC San Diego, is May 19.
The Center for Wireless Communications hosts the Beyond 5G - Toward 6G Forum
Atkinson Hall, Qualcomm Institute, UC San Diego - Home of the 2022 CWC ForumWelcome!
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.
News and Events
NASEM 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...
Latest Publications
S. Thornton and S. Dey, "Multi-modal Data and Model Reduction for Enabling Edge Fusion in Connected Vehicle Environments" to appear in IEEE Transactions on Vehicular Technology. PDF
B. Flowers, Y. Ku, S. Baidya and S. Dey, "Utilizing Reinforcement Learning for Adaptive Sensor Data Sharing over C-V2X Communications" to appear in IEEE Transactions on Vehicular Technology. PDF
B. Kutukcu, S. Baidya, A. Raghunathan, and S. Dey, "EvoSh: Evolutionary Search with Shaving to Enable Power-Latency Tradeoff in Deep Learning Computing on Embedded Systems", in 36th IEEE International System-on-Chip Conference (SOCC 2023). PDF IEEE Xplore
Y. Ku, S. Baidya and S. Dey, "Uncertainty-aware Task Offloading for Multi-vehicle Perception Fusion over Vehicular Edge Computing," to appear in IEEE Transactions on Vehicular Technology. IEEE Xplore
A. Postlmayr, B. Garg, P. Cosman, and S. Dey, "Deep Learning Approach to Skeletal Performance Evaluation of Physical Therapy Exercises" 2023 Connected Health: Applications, Systems and Engineering Technologies Conference (CHASE). IEEE, 2023 PDF
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
