Data Science Applications and Architectures

We are engaged in the development and use of data science algorithms and architectures in diverse applications such as connected health, solar energy generation and distribution, online video classification, augmented and virtual reality, and massive MIMO systems. Research includes both deep learning techniques suitable for the applications, as well as new hybrid cloud and edge architectures to ensure scalable and real-time solutions with high efficiency in computation and data communication.