Graduate Studies

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Graduate Research in Computer Engineering

According to the National Association of Colleges and Employers (NACE), you can’t go wrong with graduate studies in computer engineering since it is one of the top graduate degrees by demand level.

Computer Engineering research at UCSB is multi-disciplinary and involves faculty from Computer Science, Electrical and Computer Engineering, and other departments. Although students choose a home department from which to receive their degree, CE research often crosses departmental boundaries.

We are often asked about research that is being done in the field of computer engineering at UCSB. Areas of research include but are not limited to the following areas: bioinspired computing; circuits and system design; computer architecture; electronic design automation and testing; emerging technologies for computing; energy-efficient computing; nanotechnology; networking; operating systems and distributed systems; and software and languages.

Additionally, many faculty are also involved in research at many on and off-campus centers and institutions such as the California Nanosystems Institute (CNSI) and the Institute of Energy Efficiency (IEE).

See Research Overview and Areas of Research for additional helpful information about our center, news, faculty spotlights, and faculty member's research interests and groups/labs.

CS and ECE Graduate School Rankings

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National Research Council Assessments
rate Ph.D. programs in CS & ECE among top in U.S. (College of Engineering Press Release)

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The PhDs.org website allows users to interactively browse the NRC assessment data for CS and ECE

Graduate Profile: Benji Lampel, M.S. Candidate

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Hometown: Granada Hills, CA 
Degree Sought: Master's degree (2nd year) – B.S. / M.S. program 
Graduate Study Area: Computer Systems 
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Tell us about your research: My research is a part of the SmartFarm project, which combines cloud computing, IoT, AI and more in an effort to bring the 21st century to farmers. My part of the project involves a lot of pieces, and several areas of computer science/engineering: IoT, cloud, full stack web development, soldering circuits and embedded systems. Using all of these areas together, I am engineering a rugged sensor made from off-the-shelf parts for long term deployment in agricultural fields to measure soil moisture and temperature (with more features available). The data is sent through an “intercessor” node that does mild data processing and then forwards data to a private cloud running a LAMP stack. A farmer can access their data directly on the cloud through a simple web interface. You can check out my current data at 169.231.235.13.

(More about Benji's & other graduate student experiences...)