TY - GEN
T1 - A stem reu site on the integrated design of sensor devices and signal processing algorithms
AU - Spanias, Andreas
AU - Blain Christen, Jennifer
N1 - Funding Information:
The REU program [18] was funded by NSF award 1659871. The SenSIP NSF I/UCRC site and several other programs also provided facilities and resources for the REU. The authors would like to acknowledge all the faculty, graduate mentors and specifically J. Mitchell, M. Goryll and P. Dowd for lectures and modules. Special thanks to R. Sayed, H. Arafa and S. Beck for their help with REU logistics. We also acknowledge our evaluator Wendy Barnard for detailed assessments and pre-and post-quizzes.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/10
Y1 - 2018/9/10
N2 - Arizona State University (ASU) established an NSF Research Experiences for Undergraduates (REU) site to embed students in research projects related to integrated sensor and signal processing systems. The program includes both sensor hardware and algorithm/software design for a variety of applications including health monitoring. The site was funded in February 2017 and the Co-PIs recruited nine students from different universities and community colleges to spend the summer of 2017 in research laboratories at ASU. The program included structured training with modules in sensor design, signal processing, and machine learning. Cross-cutting training included research ethics, IEEE manuscript development, and building presentation skills. Nine undergraduate research projects were launched and the program went through an assessment by an independent evaluator. This paper describes the REU activities, modules, training, projects, and their assessment.
AB - Arizona State University (ASU) established an NSF Research Experiences for Undergraduates (REU) site to embed students in research projects related to integrated sensor and signal processing systems. The program includes both sensor hardware and algorithm/software design for a variety of applications including health monitoring. The site was funded in February 2017 and the Co-PIs recruited nine students from different universities and community colleges to spend the summer of 2017 in research laboratories at ASU. The program included structured training with modules in sensor design, signal processing, and machine learning. Cross-cutting training included research ethics, IEEE manuscript development, and building presentation skills. Nine undergraduate research projects were launched and the program went through an assessment by an independent evaluator. This paper describes the REU activities, modules, training, projects, and their assessment.
KW - Machine learning
KW - Sensor and circuit design
KW - Signal processing
KW - Undergraduate research
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U2 - 10.1109/ICASSP.2018.8462483
DO - 10.1109/ICASSP.2018.8462483
M3 - Conference contribution
AN - SCOPUS:85051221755
SN - 9781538646588
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 6991
EP - 6995
BT - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Y2 - 15 April 2018 through 20 April 2018
ER -