Content deleted Content added
primary / OR |
primary, -OR |
||
Line 23:
Data Science faculty integrate the foundations, tools and techniques involving data acquisition (sensors and systems), [[data analytics]] ([[machine learning]], [[statistics]]), data storage and computing infrastructure (GPU/CPU computing, [[FPGA]]s, [[cloud computing]], security and privacy) in order to enable meaningful extraction of actionable information from diverse and potentially massive data sources.
Neuroengineering faculty are members of the [[Rice Center for Neuroengineering]], a collaborative effort with [[Texas Medical Center]] researchers. They develop technology for treating and diagnosing [[neural disease]]s. Current research areas include interrogating [[neural circuits]] at the cellular level, analyzing neuronal data in real-time
Photonics, Electronics and Nano-device researchers focus on [[nanophotonics]] and [[plasmonic]]s, optical [[nanosensor]] and nano-actuator development, studies of new materials, in particular [[nanomaterials]] and magnetically active materials; imaging and image processing, including [[multispectral imaging]] and [[terahertz imaging]]<ref>http://www.futurity.org/handheld-terahertz-cameras-replace-mri/</ref>; ultrafast spectroscopy and dynamics; laser applications in remote and point sensing, especially for trace gas detection;<ref>http://www.ece.rice.edu/Content.aspx?id=2147484234</ref> nanometer-scale characterization of surfaces, molecules, and devices; [[organic semiconductor]] devices; single-molecule transistors<ref>http://nanotechweb.org/cws/article/tech/57989</ref>; and applications of [[Nanoshells]]<ref>http://www.pbs.org/wgbh/nova/body/halas-nanoshell.html</ref> in biomedicine.
| |||