Asee peer logo

Planning and Assessment of a Workshop on Undergraduate Education in Biometric Systems

Download Paper |

Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

NSF Grantees Poster Session I

Tagged Topics

Diversity and NSF Grantees Poster Session

Page Count

12

DOI

10.18260/p.25908

Permanent URL

https://peer.asee.org/25908

Download Count

55

Request a correction

Paper Authors

biography

Ravi P. Ramachandran Rowan University

visit author page

Ravi P. Ramachandran received the B. Eng degree (with great distinction) from Concordia University in 1984, the M. Eng degree from McGill University in 1986 and the Ph.D. degree 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. Since September 1997, he is with the Department of Electrical and Computer Engineering at Rowan University where he has been a Professor since September 2006. He has served as a consultant to T-Netix, Avenir Inc., Motorola and Focalcool. 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 for the IEEE 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 IEEE Circuits and Systems society. His research interests are in digital signal processing, speech processing, biometrics, pattern recognition and filter design.

visit author page

biography

Steven H Chin Rowan University

visit author page

Steven H. Chin is currently the Associate Dean of Engineering at Rowan University. He has been in this position since 1997, while serving as Interim Dean from 2010-2012. He has a Bachelor of Science in Electrical Engineering and Ph.D. from Rutgers University, and Masters of Science in Electrical Engineering from the Johns Hopkins University. His specialization areas are in signal processing and communication system. His current interests include STEM education, and academic partnerships.

visit author page

biography

Kevin D. Dahm Rowan University

visit author page

Kevin Dahm is a Professor of Chemical Engineering at Rowan University. He earned his BS from Worcester Polytechnic Institute (92) and his PhD from Massachusetts Institute of Technology (98). He has published two books, "Fundamentals of Chemical Engineering Thermodynamics" and "Interpreting Diffuse Reflectance and Transmittance." He has also published papers on effective use of simulation in engineering, teaching design and engineering economics, and assessment of student learning.

visit author page

biography

Liang Hong Tennessee State University

visit author page

Dr. Liang Hong received the B.S. and the M.S. degrees in Electrical Engineering from Southeast University, Nanjing, China in 1994 and 1997, respectively, and the Ph.D. degree in Electrical Engineering from University of Missouri, Columbia, Missouri in 2002. Since August 2003, he has been with the Department of Electrical & Computer Engineering at Tennessee State University where he is now Full Professor. His research interests include cognitive radio, security of communication systems, networked control system, wireless sensor networks, wireless multimedia communications and networks, and engineering education.

visit author page

biography

Sachin Shetty Tennessee State University

visit author page

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 under the supervision of Prof. Min Song. 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 over $3 million from NSF, AFOSR, DOE, DHS, TBR and local industry for research and educational innovations. He has authored and coauthored 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

visit author page

biography

Robert M Nickel Bucknell University

visit author page

Robert M. Nickel received a Dipl.-Ing. degree in electrical engineering from the RWTH Aachen University, Germany, in 1994, and a Ph.D. in electrical engineering from the University of Michigan, Ann Arbor, Michigan, in 2001. 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, University Park, Pennsylvania. Since the fall of 2007 he is a faculty member at the Electrical Engineering Department of Bucknell University, Lewisburg, Pennsylvania. During the 2010/2011 academic year he was a Marie Curie Incoming International Fellow at the Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany. His main research interests include speech signal processing, general signal theory, and time-frequency analysis.

visit author page

biography

Richard J. Kozick Bucknell University

visit author page

Richard J. Kozick received the B.S. degree from Bucknell University in 1986, the M.S. degree from Stanford University in 1988, and the Ph.D. degree from the University of Pennsylvania in 1992, all in electrical engineering. From 1986 to 1989 and from 1992 to 1993 he was a Member of Technical Staff at AT&T Bell Laboratories. Since 1993, he has been with the Electrical and Computer Engineering Department at Bucknell University, where he is currently Professor. His research interests are in the areas of statistical signal processing and communications.

Dr. Kozick received a "2006 Best Paper Award" from the IEEE Signal Processing Society and the Presidential Award for Teaching Excellence from Bucknell University in 1999. He serves on the editorial board of the EURASIP Journal on Wireless Communications and Networking.

visit author page

biography

Ying Tang Rowan University

visit author page

Ying Tang received the B.S. and M.S. degrees from the Northeastern University, P. R. China, in 1996 and 1998, respectively, and Ph.D degree from New Jersey Institute of Technology, Newark, NJ, in 2001. She is currently a Professor of Electrical and Computer Engineering (ECE) at Rowan University, Glassboro, NJ. Her research interests include virtual reality and augmented reality, artificial intelligence, and modeling and scheduling of computer-integrated systems. 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, the collaboration with community colleges to develop interactive games in empowering students with engineering literacy and problem-solving, the integration of system-on-chip concepts across two year Engineering Science and four year ECE curricula, and the implementation of an educational innovation that demonstrates science and engineering principles using an aquarium. Her work has resulted in over 100 journal and conference papers and book chapters.

visit author page

biography

Robi Polikar Rowan University

visit author page

Robi Polikar is a Professor of Electrical and Computer Engineering at Rowan University, in Glassboro, NJ. He has received his B.Sc. degree in electronics and communications engineering from Istanbul Technical University, Istanbul, Turkey in 1993, and his M.Sc and Ph.D. degrees, both co-majors in electrical engineering and biomedical engineering, from Iowa State University, Ames, IA in 1995 and 2000, respectively. His current research interests within computational intelligence include ensemble systems, incremental and nonstationary learning, and various applications of pattern recognition in bioinformatics and biomedical engineering. He is a member of IEEE, ASEE, Tau Beta Pi and Eta Kappa Nu. His recent and current works are funded primarily through NSF’s CAREER and Energy, Power and Adaptive Systems (EPAS) programs.

visit author page

Download Paper |

Abstract

Biometrics is the science of recognizing and authenticating people using their physiological features. Border and immigration control, restricted access to facilities and information systems, cybersecurity, crime investigations and forensic analysis are just a few of the primary application areas of biometrics used by commercial, government and law enforcement agencies. The global biometrics market has a compound annual growth rate of 21.3 percent. There is much research interest in different biometric systems and this has led to increasing efforts in ensuring that biometrics is taught at the undergraduate level. The authors are in the final year of an NSF TUES Type 2 grant that is based on the theme of vertically integrating biometrics experiments throughout the undergraduate curriculum. Three universities have joined together in this effort.

This paper is about the planning and assessment of a 3 day workshop that is based on the NSF funded effort. Fifteen faculty from across the country participated in this workshop. Undergraduate and graduate students also attended. The key points of the workshop included invited lectures and hands-on laboratory activities. The invited lectures included a tutorial on biometrics, detailed lectures on speaker recognition and a lecture on how to assess an educational intervention. The hands-on activities were presented such that the attending faculty could take them back to their respective universities. They were based on the following learning outcomes: • Enhanced application of math skills • Enhanced software implementation skills • Enhanced interest in biometrics • Enhanced ability to analyze experimental results • 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 workshop assessment results are very positive with respect to organization, quality of the invited lectures, quality of the hands-on activities and the social program.

Ramachandran, R. P., & Chin, S. H., & Dahm, K. D., & Hong, L., & Shetty, S., & Nickel, R. M., & Kozick, R. J., & Tang, Y., & Polikar, R. (2016, June), Planning and Assessment of a Workshop on Undergraduate Education in Biometric Systems Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25908

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2016 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015