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, 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.
Latest Publications
X. Hou and S. Dey, “Motion Prediction and Pre-Rendering at the Edge to Enable Ultra-Low Latency Mobile 6DoF Experiences,” IEEE Open Journal of the Communications Society, vol. 1, pp. 1674-1690, Oct. 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,” IEEE 3rd Connected and Automated Vehicles Symposium (CAVS), November 2020. pdf IEEE Xplore
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
W. Wei, C. McElroy, S. Dey, "Using Sensors and Deep Learning to Enable On-Demand Balance Evaluation for Effective Physical Therapy," IEEE Access, vol. 8, pp. 99889-99899, May 2020. IEEE Xplore
News and Events
eCOVID Platform Provides Remote Patient Monitoring
Engineers at the University of California San Diego have developed a remote monitoring platform for patients who have tested positive for COVID-19 but aren’t in need of hospitalization.Student Researcher Xueshi Hou Wins 2019 IEEE Jack Neubauer Memorial Award
Congratulation to student researcher Xueshi Hou for winning the IEEE Vehicular Technology Society 2019 Jack Neubauer Memorial Award.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
