Title | ||
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The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning |
Abstract | ||
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The Arizona State University (ASU) - Dublin City University (DCU) International Research Experiences for Students (IRES) project is a summer workforce development program that embeds students in machine learning and sensor research. This collaborative IRES program, funded by the National Science Foundation (NSF), engages faculty mentors from the Sensor, Signal, Information Processing (SenSIP) Center at ASU, and the Insight SFI Research Centre for Data Analytics and Biodesign Europe at DCU to train students in sensor design, analytics, and machine learning algorithm development. Sensor and machine learning research addresses engineering and computing problems in health care and other related applications. IRES participants are tasked with studying hardware, algorithms and software for various tasks including activity detection, gait modeling, imaging, hemochromatosis prediction, and health care analytics. Crosscutting efforts include training in international research presentations, research documentation and building awareness of international policies and standards. The program includes weekly research updates by the students, participation in workshops and continued engagement after the summer experience. This paper describes the various components of IRES sensor and machine learning research through ongoing center projects at ASU and DCU. |
Year | DOI | Venue |
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2022 | 10.1109/IISA56318.2022.9904409 | 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) |
Keywords | DocType | ISBN |
sensors,machine learning,health care,wearables | Conference | 978-1-6654-6391-1 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andreas S. Spanias | 1 | 528 | 87.90 |
Vivek Narayanaswamy | 2 | 0 | 1.35 |
Erica Forzani | 3 | 0 | 0.34 |
Greg Raupp | 4 | 0 | 0.34 |
Nadia Kellam | 5 | 0 | 0.34 |
Megan O’Donnell | 6 | 0 | 0.34 |
Wendy Barnard | 7 | 0 | 0.34 |
Jean Larson | 8 | 0 | 0.34 |
Noel E. O'Connor | 9 | 2137 | 223.20 |
Nicholas Dunne | 10 | 0 | 0.34 |
Stephen Daniels | 11 | 0 | 0.34 |
Suzanne Little | 12 | 49 | 9.72 |