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Board 78 : The Sensor Signal and Information Processing REU Site

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

Electrical and Computer Division Poster Session

Tagged Division

Electrical and Computer

Tagged Topic

Diversity

Page Count

14

Permanent URL

https://peer.asee.org/30106

Download Count

17

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Paper Authors

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Andreas S. Spanias Arizona State University

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Andreas Spanias is a professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University. He is also the founder and director of the SenSIP industry consortium. His research interests are in the areas of adaptive signal processing, speech processing, and audio sensing. He and his student team developed the computer simulation software Java-DSP (J-DSP - ISBN 0-9724984-0-0). He is author of two text books: Audio Processing and Coding by Wiley and DSP; An Interactive Approach. He served as associate editor of the IEEE Transactions on Signal Processing and as General Co-chair of IEEE ICASSP-99. He also served as the IEEE Signal Processing vice-president for conferences. Andreas Spanias is co-recipient of the 2002 IEEE Donald G. Fink paper prize award and was elected Fellow of the IEEE in 2003. He served as distinguished lecturer for the IEEE Signal processing society in 2004.

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Jennifer M. Blain Christen

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Trevor J. Thornton Arizona State University

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Karen S. Anderson Arizona State University

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Michael Goryll Arizona State University

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Michael Goryll joined the ASU faculty in 2007. He received a Ph.D. in physics in 2000 and a diploma in physics in 1997, both from the RWTH Aachen University, Germany. He performed his post-doctoral research on biosensors at ASU during the years 2003-2005. Before joining ASU as a faculty member, Goryll spent several years at the Research Centre Jülich, the largest national research lab in Germany, focusing on SiGe chemical vapor deposition and biosensor development. Dr. Goryll's current research interests are in the field of silicon processing for nanopore devices, the integration of biogenic nanostructures with silicon MEMS and the development of low-noise wide-bandwidth electronics for the recording of ionic currents in the pA range. Dr. Goryll is a recipient of the NSF CAREER award in 2012 as well as numerous teaching awards, including the 2012 Fulton Schools of Engineering Best Teacher Award.

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Hany M. Arafa Arizona State University

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Uday Shankar Shanthamallu Arizona State University

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“I received my B.S degree in Electronics and Communications from the National Institute of Engineering, India in 2011. I am currently pursuing my Master’s and PhD program in Electrical Engineering at Arizona State University (ASU). I am advised by Dr. Andreas Spanias. I joined the Sensor, Signal and Information Processing Center (SenSIP) at ASU in Jan 2016.
My research interests lie at the overlap of sensors and Machine learning and Big Data including, but not limited to Pattern recognition and Anomaly detection. In summer 2016, I did a summer internship at NXP Semiconductors where I worked on sensor data analytics for anomaly detection. I worked on integrating machine learning algorithms on an embedded sensor systems for Internet of Things applications, which can identify anomalies in real time. Before joining ASU, I worked as Systems engineer for 4 years at Hewlett Packard Research and Development, Bangalore, India.”

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Erica S. Forzani Arizona State University

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Dr. Erica Forzani is Associate Professor of Chemical Engineering Program as well as joint faculty in the Mechanical  Engineering Graduate Program in the School for Engineering of Matter, Transport, and Energy at Arizona State University (SEMTE). Dr. Forzani also has a joint appointment with ASU’s Center for Bioelectronics & Biosensors (CBB) at The Biodesign Institute, and she is Deputy Director of CBB.
She received her Ph.D. in Chemistry and B.S. in Clinical Chemistry at Cordoba National University in Argentina. Prior to join ASU, she received prestigious fellowships from the Argentinian Research Council to support her Ph.D. and postdoctoral studies in Argentina. She came to ASU in 2003 as postdoctoral research associate of the Department of Electrical Engineering; where later she worked as Assistant Research Professor. Dr. Forzani became Assistant Professor in SEMTE in Fall 2010. Erica is also Research Associate of Mayo Clinic.
Dr. Forzani’s current research interests are the development of novel hybrid chemical and biosensors and the integration of sensors into wireless, non-invasive and inexpensive sensor devices. She is focused on health applications, and environmental health and safety. Currently, she has over 70 peer-reviewed publications, three patents, 11 patent applications and 4 transferred intellectual properties. In addition, she has served as Guest Editor of Nanotechnology Journal, and is member of the Editorial Board of the Journal of Biosensors and Bioelectronics.

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Heather M. Ross Arizona State University

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Heather M. Ross, PhD, DNP, is a Clinical Assistant Professor in the School for the Future of Innovation in Society and College of Nursing and Health Innovation at Arizona State University. She is a Research Scientist in the Global Security Initiative, where her work focuses on health security and cybersecurity. She maintains an active clinical practice as a nurse practitioner in cardiac electrophysiology with Arizona Arrhythmia Consultants.

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Wendy M. Barnard

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Sule Ozev

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Abstract

A unique Research Experiences for Undergraduates (REU) site was established at Arizona State 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. This three year NSF REU site was established in January 2017 and admitted the first cohort of undergraduate students that started their research in late May 2017. The investigators along with a team of faculty advisors are supervising a series of multidisciplinary research projects in the design of integrated sensor systems. In addition to planned projects, the faculty leaders of this program developed and deployed a series of video-streamed modules on sensor device design and machine learning algorithms. The program engaged colleges across the country to broaden participation. The REU research emphasizes STEM related problems associated with sensor applications in signal processing, internet of things, and health monitoring. The nine projects in 2017 were selected to embed REU students in tasks whose focus is to design sensors and interpret data from sensors by studying and programming appropriate machine learning algorithms and sensor fusion methods. The paper will describe all the technical details of the research activities. The paper will also include an independent assessment of the projects, training and overall program.

Spanias, A. S., & Blain Christen, J. M., & Thornton, T. J., & Anderson, K. S., & Goryll, M., & Arafa, H. M., & Shanthamallu, U. S., & Forzani, E. S., & Ross, H. M., & Barnard, W. M., & Ozev, S. (2018, June), Board 78 : The Sensor Signal and Information Processing REU Site Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30106

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