Rice University Electrical and Computer Engineering: Difference between revisions

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Rice ECE Faculty perform research in the following areas: [[Computer Engineering]]; Data Science, [[Neuroengineering]]; [[Photonics]], Electronics and [[Nanodevices|Nano-devices]], and Systems.<ref>http://www.ece.rice.edu/research/</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<ref>http://www.washingtonpost.com/news/grade-point/wp/2015/07/07/my-smartphone-is-making-me-dumb/</ref>. Biosensors and mobile wireless healthcare <ref>http://www.dailymail.co.uk/sciencetech/article-3027887/Your-face-reveal-health-Researchers-reveal-new-algorithm-monitors-vital-signs-video.htmlrice universe</ref> 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.