The sensor signal and information processing REU site

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

A unique Research Experiences for Undergraduates (REU) site was established at our University to address education and research problems in integrated sensor device and DSP algorithm design. The site will recruit and train nine undergraduate students each summer and engage them in research endeavors on the design of sensors including student training in mathematical methods for extracting information from sensor systems. The program was launched in 2017, and nine undergraduate research projects advised by a team of faculty advisors started in the summer. The projects embedded REU students in tasks whose focus was to design sensors and interpret their data by studying and programming appropriate machine learning algorithms. The paper describes the technical details of the research activities and summarizes an independent assessment of the projects and learning experiences.

Original languageEnglish (US)
JournalASEE Annual Conference and Exposition, Conference Proceedings
Volume2018-June
StatePublished - Jun 23 2018
Event125th ASEE Annual Conference and Exposition - Salt Lake City, United States
Duration: Jun 23 2018Dec 27 2018

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Signal processing
Sensors
Students
Computer programming
Learning algorithms
Learning systems
Education

ASJC Scopus subject areas

  • Engineering(all)

Cite this

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title = "The sensor signal and information processing REU site",
abstract = "A unique Research Experiences for Undergraduates (REU) site was established at our University to address education and research problems in integrated sensor device and DSP algorithm design. The site will recruit and train nine undergraduate students each summer and engage them in research endeavors on the design of sensors including student training in mathematical methods for extracting information from sensor systems. The program was launched in 2017, and nine undergraduate research projects advised by a team of faculty advisors started in the summer. The projects embedded REU students in tasks whose focus was to design sensors and interpret their data by studying and programming appropriate machine learning algorithms. The paper describes the technical details of the research activities and summarizes an independent assessment of the projects and learning experiences.",
author = "Andreas Spanias and {Blain Christen}, Jennifer and Trevor Thornton and Karen Anderson and Michael Goryll and Arafa, {Hany M.} and Shanthamallu, {Uday Shankar} and Erica Forzani and Ross, {Heather M.} and Wendy Barnard and Sule Ozev",
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AU - Spanias, Andreas

AU - Blain Christen, Jennifer

AU - Thornton, Trevor

AU - Anderson, Karen

AU - Goryll, Michael

AU - Arafa, Hany M.

AU - Shanthamallu, Uday Shankar

AU - Forzani, Erica

AU - Ross, Heather M.

AU - Barnard, Wendy

AU - Ozev, Sule

PY - 2018/6/23

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