RICE research on digital integrated circuits and VLSI spans high-performance processors, FPGAs, to energy-efficient accelerators covering applications in digital communication, low-power IoT devices, and cloud computing.
We are actively investigating emerging computing paradigms and electronic technologies.
RICE CE has an extensive range of research in analog and mixed-signal circuit and system design, ranging from miniaturized and low power circuits for sensor interface, energy harvesting, and power management, and minimally-invasive neural interfaces, to high-speed wireless communication and sensing systems.
RICE CE research on computer architecture explores architectures for machine learning and Big Data, processing near memory, architectural options beyond Moore's Law and architectural support for data science algorithms, large-scale storage systems, and resource scheduling for performance, power and QoS.
RICE has done extensive research on building hardware for system security and privacy, as well as ensuring the trustworthiness and reliability of electronics. Novel hardware primitives, sensing systems, and secure system designs are investigated to enhance the security of emerging bio electronics and IoT devices in an energy efficient manner.
RICE CE research on digital integrated circuits and VLSI spans high-performance processors, FPGAs, to energy-efficient accelerators covering applications in digital communication, low-power IoT devices, and cloud computing. We are actively investigating emerging computing paradigms and electronic technologies.
RICE CE has extensive research in embedded system and machine learning powered Internet-of-Things. Research is focused on making edge-devices intelligent through novel machine-learning techniques, audio and computer vision systems, and ultra-small computing to open up new application domains.
“Enlightenments, like accidents, happen only to prepared minds.” -- Herbert A. Simon