Rice University Electrical and Computer Engineering: Difference between revisions

Revision as of 15:56, 11 July 2015

Latest revision as of 03:43, 12 June 2025

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|type = [[Academic department]]

|head_label = Chair

|head = Dr. [[EdwardAshutosh Knightly]]Sabharwal

|students =

|staff =

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|country = [[United States]]

|website = [http://www.ece.rice.edu]

|affiliations = [[Rice University]]<br/>[[George R. Brown School of Engineering]]

}}

The '''Rice University Department of Electrical and Computer Engineering''' is one of nine academic departments at the [[George R. Brown School of Engineering]] at [[Rice University]]. Dr.Ashutosh [[Edward Knightly]]Sabharwal is the Department Chair. Originally the '''Rice Department of Electrical Engineering''', it was renamed in 1984 to [[Electrical engineering|Electrical]] and [[Computer Engineering]].<ref name=aboutece>{{cite web|url=http://www.ece.rice.edu/aboutece/history.aspx|title=Department History|accessdateaccess-date=12 July 2015}}</ref>

==Research==

Rice ECE Faculty perform research in the following areas: [[Computer Engineering]]; Data Science, [[Neuroengineering]]; [[Photonics]], Electronics and [[Nanodevices|Nano-devices]], and Systems.<ref name=research>{{cite web|url=http://www.ece.rice.edu/research/|title=ECE Research|accessdateaccess-date=12 July 2015}}</ref> Rice has a long history in [[digital signal processing]] (DSP) dating back to its inception in the late 1960s.

Computer Engineering faculty have a research focus in in analog and mixed-signal design, [[VLSI]] signal processing, [[computer architecture]] and [[embedded systems]], [[biosensors]] and [[computer vision]], and hardware security and storage systems, including applications to education. Biosensors and mobile wireless healthcare are growing application areas in embedded systems research. [[Smartphones]] with imaging devices are leading to new areas in computer vision and sensing. In the area of computer architecture, research interests include [[parallel computing]], large-scale storage systems, and resource scheduling for performance and power.

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.

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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, and manipulating healthy or diseased neural circuit activity and connectivity using [[nanoelectronics|nano electronics]], [[optics]], and emerging [[photonics]] technologies.

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]]; ultrafast spectroscopy and dynamics; laser applications in remote and point sensing, especially for trace gas detection;<ref name=tittel>{{cite web|url=http://www.ece.rice.edu/Content.aspx?id=2147484234|title=Tittel Receives Award from Welch Foundation|accessdateaccess-date=12 July 2015}}</ref> nanometer-scale characterization of surfaces, molecules, and devices; [[organic semiconductor]] devices; single-molecule transistors; and applications of [[Nanoshells]] in biomedicine.

Current Rice ECE Systems research spans a wide range of areas including image and video analysis, representation, and compression; [[wavelets]] and multiscale methods; [[statistical signal processing]], [[pattern recognition]], and learning theory; distributed signal processing and sensor networks; communication systems; computational neuroscience; and wireless networking.

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[[Category:Rice University]]

[[Category:Electrical engineering organizations]]

[[Category:Computer engineering]]

[[Category:Department for Education]]

[[Category:Electrical and computer engineering departments]]

[[Category:Computer science institutes]]

[[Category:Computer science departments in the United States]]