TY - GEN
T1 - An REU Experience in Machine Learning and Computational Cameras
AU - Mohan, DIvya
AU - Katoch, Sameeksha
AU - Jayasuriya, Suren
AU - Turaga, Pavan
AU - Spanias, Andreas
N1 - Funding Information:
Acknowledgments: This material is based upon work supported by the National Science Foundation under CNS-1659871 as well as ASU’s SenSIP Center.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - In this work in progress paper, we describe an REU summer experience on imaging sensors that involved a female junior level Electrical Engineering student, a graduate student advisor, and three faculty. A research plan was designed to embed the student in a sensor and machine learning research with specific emphasis on energy-efficient cameras. The motivation for submitting this paper is the unique planning and the quality of the overall student experience which resulted in continuous engagement of the REU student with the faculty after the REU summer program completed. The program resulted in a major presentation at an international event, an NSF I/UCRC poster presentation, a research conference submission which is remarkable for an undergraduate student, and finally a new research direction for the graduate mentor and faculty. This paper describes successful strategies for research engagement for undergraduates in state-of-the-art research fields which yield positive outcomes for all participants, and is grounded in contemporary educational methodology and theoretical frameworks.
AB - In this work in progress paper, we describe an REU summer experience on imaging sensors that involved a female junior level Electrical Engineering student, a graduate student advisor, and three faculty. A research plan was designed to embed the student in a sensor and machine learning research with specific emphasis on energy-efficient cameras. The motivation for submitting this paper is the unique planning and the quality of the overall student experience which resulted in continuous engagement of the REU student with the faculty after the REU summer program completed. The program resulted in a major presentation at an international event, an NSF I/UCRC poster presentation, a research conference submission which is remarkable for an undergraduate student, and finally a new research direction for the graduate mentor and faculty. This paper describes successful strategies for research engagement for undergraduates in state-of-the-art research fields which yield positive outcomes for all participants, and is grounded in contemporary educational methodology and theoretical frameworks.
KW - Machine Learning
KW - Research Experiences for Undergraduates
KW - Sensors
KW - Smart Cameras
UR - http://www.scopus.com/inward/record.url?scp=85082467002&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082467002&partnerID=8YFLogxK
U2 - 10.1109/FIE43999.2019.9028362
DO - 10.1109/FIE43999.2019.9028362
M3 - Conference contribution
AN - SCOPUS:85082467002
T3 - Proceedings - Frontiers in Education Conference, FIE
BT - 2019 IEEE Frontiers in Education Conference, FIE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 49th IEEE Frontiers in Education Conference, FIE 2019
Y2 - 16 October 2019 through 19 October 2019
ER -