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Configuration and Assessment of a Senior Level Course in Biometric Systems

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Conference

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

NSF Grantees' Poster Session

Tagged Topic

NSF Grantees Poster Session

Page Count

14

Page Numbers

23.327.1 - 23.327.14

Permanent URL

https://peer.asee.org/19341

Download Count

33

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Paper Authors

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Ravi P. Ramachandran Rowan University

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Dr. Ravi P. Ramachandran received a B.Eng degree with great distinction from Concordia University in 1984, a M.Eng degree from McGill University in 1986, and a Ph.D. from McGill University in 1990. From October 1990 to December 1992, he worked at the Speech Research Department at AT&T Bell Laboratories. From January 1993 to August 1997, he was a research assistant professor at Rutgers University. He was also a senior speech scientist at T-Netix from July 1996 to August 1997. He has been a professor in the Department of Electrical and Computer Engineering at Rowan University since September 2006. He has served as a consultant to T-Netix, Avenir Inc. and Motorola. From September 2002 to September 2005, he was an associate editor for the IEEE Transactions on Speech and Audio Processing and was on the Speech Technical Committee of the Signal Processing society. Since September 2000, he has been on the Editorial Board of the IEEE Circuits and Systems Magazine. Since May 2002, he has been on the Digital Signal Processing Technical Committee for the Circuits and Systems society. His research interests are in digital signal processing, speech processing, pattern recognition, biometrics and filter design.

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Robi Polikar Rowan University

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Kevin D. Dahm Rowan University

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Dr. Kevin Dahm is an associate professor of Chemical Engineering at Rowan University. He received his B.S. from WPI in 1992 and his Ph.D. from MIT in 1998. His primary areas of pedagogical scholarship are teaching design, process simulation in the curriculum, assessment of student learning and teaching engineering economics. He has received the 2011 Mid-Atlantic Section Outstanding Teaching Award, the 2005 Corcoran Award, the 2004 Fahien Award and the 2003 Martin Award from ASEE.

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Robert M Nickel Bucknell University

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Robert. M. Nickel received the Diplom-Ing. degree in Electrical Engineering from the Rheinisch-Westflische Technische Hochschule (RWTH) in Aachen, Germany in 1994 and the M.S. degree in electrical engineering and the Ph.D. degree from the University of Michigan, Ann Arbor, in 1997 and 2001, respectively. During the 2001-2002 academic year, he was an adjunct faculty in the Department of Electrical Engineering and Computer Science at the University of Michigan. From 2002 until 2007, he was a faculty member at the Pennsylvania State University at University Park. Since the fall of 2007, he has been a faculty member at Bucknell University's Electrical Engineering Department. His main research interests include speech signal processing and general signal theory.

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Richard J. Kozick Bucknell University

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Sachin Shetty Tennessee State University

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Dr. Sachin Shetty is currently an assistant professor in the Department of Electrical and Computer Engineering at Tennessee State University. He received his Ph.D. degree in Modeling and Simulation from Old Dominion University in 2007. His research interests lie at the intersection of computer networking, network security and machine learning. Recently, he has been working on security issues in cloud computing, cognitive radio networks, and wireless sensor networks. Over the years, he has secured funding from NSF, AFOSR, DOE, DHS, TBR and local industry for research and educational innovations. He has authored and co-authored over 30 technical refereed and non-refereed papers in various conferences, international journal articles, book chapters in research and pedagogical techniques. He is the director of the Cyber Defense and Security Visualization Laboratory.

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Ying Tang Rowan University

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Dr. Ying Tang received B.S. and M.S. degrees from Northeastern University in P. R. China in 1996 and 1998, respectively. She also earned a Ph.D. degree from the New Jersey Institute of Technology in 2001. She is currently an associate professor of Electrical and Computer Engineering at Rowan University. Her research interests include virtual reality, artificial intelligence, and modeling and scheduling of computer-integrated systems. Dr. Tang has led or participated in several research and education projects funded by National Science Foundation, U.S. Department of Transportation, U.S. Navy, the Charles A. and Anne Morrow Lindbergh Foundation, the Christian R. and Mary F. Lindback Foundation, and industry firms. Her work has resulted in more than 80 journal and conference papers and book chapters. Dr. Tang is very active in adapting and developing pedagogical methods and materials to enhance engineering education. Her most recent educational research includes the collaboration with Tennessee State University and local high schools to infuse cyber-infrastructure learning experience into the pre-engineering and technology-based classrooms, and the collaboration with community colleges to develop interactive games in empowering students with engineering literacy and problem-solving.

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Steven H Chin Rowan University

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Dr. Steven H. Chin currently serves as interim dean of Engineering at Rowan University. He has a Bachelor of Science degree from Rutgers University, a Master of Science degree from Johns Hopkins University, and a Ph.D. from Rutgers University, all in Electrical Engineering. He is a licensed professional engineer in the Commonwealth of Virginia. His research activities have been in the area of digital communication systems and coding theory. He is currently a co-PI on the NSF S-STEM grant at Rowan University, whose goal is to increase the number of technically proficient graduates who will contribute to the economic vitality of the region.

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Abstract

CONFIGURATION AND ASSESSMENT OF A SENIOR LEVEL COURSE IN BIOMETRIC SYSTEMSBiometrics is the science of recognizing and authenticating people using their physiological andbehavioral features. Interest in biometrics has increased significantly after the 9/11 attacks. Border andimmigration control, restricted access to facilities and information systems, cybersecurity, crimeinvestigations and forensic analysis are just a few of the primary application areas of biometrics used bycommercial, government and law enforcement agencies. The biometrics market has grown from $2.7billion in 2007 to $7.1 billion by 2012 with a compound annual growth rate of 21.3 percent. There ismuch research interest in different biometric modalities, notably, those based on fingerprint, face, speech,iris, signature and gait. Fingerprint, face and speech based systems have great advantages including easeof use and implementation, low cost and high user acceptance. In addition, they can be easily integrated(no special hardware except for a built-in Web camera, microphone and fingerprint reader) with manydevices including desktops, laptops, cell phones, wireless access points, iPhones, iPads and PDAs.This paper is about a newly configured undergraduate senior level course in biometric systems thatfocusses on basic concepts in biometrics, policy and ethics issues, teaching of STEM concepts, oralpresentation of a case study and a project focused on open-ended design. A systems level perspective isemphasized.The list of topics is: 1. Introduction to Biometrics: Components of a biometric system, the concepts of verification and identification, system errors, performance measures, biometric applications, ethical and privacy issues and biometric security. 2. Fundamentals of Pattern Recognition 3. Face Recognition 4. Fingerprint Recognition 5. Speaker Recognition 6. Iris Recognition 7. MultibiometricsThe student learning outcomes of the project include: • Enhanced application of math skills • Enhanced software implementation skills • Enhanced interest in biometrics • Enhanced comprehension of ethical issues • Enhanced ability to read papers and apply algorithms to achieve a better design thereby providing research experience. • Enhanced communication skills • Comprehension of the importance of vertical integration in that students realize that their experiences are part of a flow that contributes to a unified knowledge base.The assessment results are very encouraging with respect to the achievement of the learning outcomes.The assessment instruments include: • Student surveys (target versus control group comparison that includes a statistical analysis) • Faculty tracking of student learning outcomes based on student work • Faculty evaluation of student work based on significant rubrics • A concept inventory test

Ramachandran, R. P., & Polikar, R., & Dahm, K. D., & Nickel, R. M., & Kozick, R. J., & Shetty, S., & Tang, Y., & Chin, S. H. (2013, June), Configuration and Assessment of a Senior Level Course in Biometric Systems Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/19341

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