Welcome to RICE Computer Engineering !
The research in this discipline focuses on many different aspects and touches on virtually every area that CE encompasses. Analog and mixed signal design, including self-healing circuits and large-scale radiating integrated circuits for medical imaging. Computer architecture and embedded systems, like those in biosensors and mobile wireless healthcare and parallel computing for data science algorithms, large-scale storage systems, and resource scheduling for performance, power and QoS. Hardware security and storage, such as the security schemes which are being based on physically unclonable functions. VLSI signal processing focuses on algorithms for wireless communication systems and their efficient mapping to low-power architectures on DSPs, GPUs, ASICs, and ASIPs. Last but not least is biosensors and computer vision - smartphones with imaging devices are leading to new areas in computer vision and sensing.
NSF backs first community platform for smarter wireless
August 31, 2020
Rice University researchers have received a $1.5 million National Science Foundation (NSF) grant to develop an open-source platform to meet the urgent need of developing and validating machine-learning (ML) based innovations for future wireless networks and mobile applications.
Rice engineers offer smart, timely ideas for AI bottlenecks
June 11, 2020
Rice University researchers have demonstrated methods for both designing innovative data-centric computing hardware and co-designing hardware with machine-learning algorithms that together can improve energy efficiency by as much as two orders of magnitude.
Early Bird uses 10 times less energy to train deep neural networks
May 18, 2020
Researchers from Rice and Texas A&M University unveiled Early Bird in a spotlight paper at ICLR 2020, the International Conference on Learning Representations. Early Bird is an energy-efficient method for training deep neural networks (DNNs), the form of artificial intelligence (AI) behind self-driving cars, intelligent assistants, facial recognition and dozens more high-tech applications.
Magnet-controlled bioelectronic implant could relieve pain
A team of Rice University engineers has introduced the first neural implant that can be both programmed and charged remotely with a magnetic field. Their breakthrough may make possible imbedded devices like a spinal cord-stimulating unit with a battery-powered magnetic transmitter on a wearable belt.
Rice boosts ‘internet of things’ security — again
February 18, 2020
Rice engineers develop a new type of security system for the "internet of things." The system leverages on-chip power management to greatly complicate breaching a device to break into a network.
Texas Heart Institute enlists Rice faculty to advance pacemaker project
November 4, 2019
The National Institutes of Health has awarded a prestigious four-year R01 grant for $2.4 million to Dr. Mehdi Razavi, a cardiologist, director of Electrophysiology Clinical Research and Innovations at THI and a frequent collaborator with Rice faculty and students. The grant will be administered by the National Heart, Lung and Blood Institute.
Fed grant backs advances in self-learning internet of things
October 3, 2019
Rice’s Yingyan Lin leads development of next-gen devices that think for themselves. If the internet of things (IoT) is going to live up to its potential, those “things” had better be smart. Yingyan Lin and her collaborators are on the case. Lin is the principal investigator on a three-year, $1.38 million set of National Science Foundation (NSF) grants to facilitate real-time machine learning in devices at the “edges” of the internet.
Customized pacemakers may learn what our hearts need
September 24, 2018
National Science Foundation backs Rice, Texas Heart Institute drive to develop next-generation pacemakers. Pacemakers deliver an electrical charge to reset hearts that fall out of rhythm, but different hearts could benefit from customized shocks. Rice University and Texas Heart Institute (THI) researchers are developing pacemakers tuned to the needs of individual patients that deliver more efficient signals to hearts at just the right time.
Gas-Sensing Drones Draw NSF Backing
August 28, 2018
Rice University researchers, in a collaboration with Baylor College of Medicine and Houston nonprofit Technology For All (TFA), are developing a fleet of autonomous aerial drones that coordinate with each other to detect, track and model the environment and let neighborhoods know of airborne perils that can be especially hazardous following extreme weather events.
No lens? No problem for FlatCam
November 23, 2015
How thin can a camera be? Very, say Rice University researchers who have developed patented prototypes of their technological breakthrough. FlatCam, invented by the Rice labs of electrical and computer engineers Richard Baraniuk and Ashok Veeraraghavan, is little more than a thin sensor chip with a mask that replaces lenses in a traditional camera.