The Bharadwaj Lab is an experimental research group focused on studying and controlling nanoscale light-matter interactions. Specific topics of interest include optical antennas, nanoscale optoelectronic energy transduction, tip-enhanced spectroscopy and microscopy, and optoelectronics with novel two-dimensional crystalline materials.
Rice University Wireless Research Group 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. The goal of the project led by Yingyan Lin, an assistant professor of electrical and computer engineering at Rice’s Brown School of Engineering, is to develop a first-of-its-kind community platform to turbocharge the research process of inventing novel ML-based techniques for intelligent wireless network management and optimization.
Associated Faculty: Lin, Doost-Mohammady, Cavallaro, Chen, Sabharwal, and Atlas Wang at TAMU.
Digital Signal Processing Group
Digital Signal Processing (DSP) — the transformation of data to extract or better transmit information — has evolved from an obscure research discipline into an essential technology of everyday life. Rice has been a major force in DSP research and education and many outstanding DSP alumni now hold leadership positions in academics and industry.
Associated Faculty: Baraniuk, Burrus, Cavallaro, Frantz, Johnson, Kemere, Orchard, Patel, Pitkow, Sabharwal, Veeraraghavan
Halas Research Group
The Halas Group is focused on four principal missions: to design new optically active nanostructures driven by function; to develop and implement new nanofabrication strategies to build, orient, and pattern these nanostructures into new materials and devices; to characterize and understand the physical properties of these optically active nanostructures, devices and materials; to prototype the use of optically active nanostructures in applications of potential technological and broad societal interest.
The Kono Group is currently focused on the physics and applications of semiconductor nanostructures and quantum device structures. They use state-of-the-art spectroscopic techniques to study charge, spin, and vibrational dynamics in a variety of nanostructures.
Laboratory for Nanophotonics
The goal of the Laboratory for Nanophotonics (LANP) is to invent, to understand, to develop, to simulate, to control, to optimize, to apply nanoscale optical elements, components, and systems.
Associated Faculty: Bharadwaj, Halas, Naik
Laboratory for Nanophotonic Computational Imaging and Sensing
The laboratory for Nanophotonic Computational Imaging and Sensing (NCIS) designs and builds imaging systems that can dramatically outperform systems built from traditional physical optics. The founding principle is that by co-designing nanophotonic devices and imaging algorithms, we can break free of the limitations imposed by conventional physical optics like lenses and mirrors.
Associated Faculty: Robinson, Veeraraghavan
The Naik Lab explores, invents, and innovates the science and technology of extreme control of light and heat using nanotechnology. While discovering new scientific phenomena, the Naik lab addresses global challenges in energy and healthcare by developing new technologies for efficient renewable energy harvesting, compact imaging, and sensing.
Neural Computation Laboratory
The Neural Computation Laboratory aims to understand how the brain works using mathematical principles. They develop theories of neural computation and collaborate with experimentalists to test these predictions.
Associated Faculty: Pitkow
Realtime Neural Engineering Laboratory
The Realtime Neural Engineerign Laboratory focues on forming, storing, and using memory in the hippocampus. Problems in the hippocampal circuit can lead to memory problems (e.g., Alzheimer's, PTSD) and also more complex disorders such as depression and anxiety. We'd like to understand how the hippocampal circuit works at a systems-level in healthy brains, how it goes wrong, and what can be done to change how it functions.
Associated Faculty: Kemere
Rice Neuroengineering Initiative
The Rice Neuroengineering Initiative is a collaborative multidisciplinary program that brings together the brightest minds in neuroscience, engineering, and related fields to improve lives by restoring and extending the capabilities of the human brain.
Associated Faculty: Aazhang, Allen, Baraniuk, Kemere, Pitkow, Robinson, Sabharwal
Rice Efficient Computing Group
The Rice Efficient Computing Group (RECG) develops efficient technologies for future computing, communication, and interfacing. To us, efficiency means three things: 1) Minimal energy consumption, 2) Use of emerging nanometer devices, and 3) User-centered design and services. We study these three aspects in the contexts of mobile & embedded computing and design automation of digital systems.
Associated Faculty: Zhong
Rice Networks Group
Rice Networks Group (RNG) is devoted to protocols, theory, and experimental research in next generation wireless networks. The group has deployed and operates a large-scale programmable and experimental access network in Southeast Houston.
Associated Faculty: Knightly
The Robinson Lab for Nano-neurotechnology believes that new methods to measure and manipulate the activity of specific brain cells will reveal fundamental principles of brain function and advance the treatment of neurological disorders. Using semiconductor nanofabrication and genetic engineering, the lab creates electronic, photonic, and magnetic interfaces to the brain. In addition, the lab studies millimeter-sized invertebrates with tiny nervous systems. By creating interface technologies for these tiny organisms, the lab hopes to decode the activity of the entire nervous system and uncover how simple brains operate to solve complex problems.
Scalable Health Labs
Scalable Health Labs are focused on mobile bio-behavioral sensing, to develop novel "sensors" that can simultaneously measure both bio- and behavioral-markers for a given healthcare context. The challenge lies in measuring both bio- and behavioral-markers in-situ, away from a clinic or healthcare facility. The new sensors will be the foundation of next-generation healthcare architecture, where both the patient and healthcare providers are empowered by relevant and timely information.
Associated Faculty: Sano, Veeraraghavan, Sabharwal, Zhong