John Buck

John Buck, PhD

Chancellor Professor

Electrical & Computer Engineering

508-999-9237

508-999-8489

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Dion 324B


Education

1996Massachusetts Institute of Technology & Woods HolePhD in Oceanographic Engineering
1991Massachusetts Institute of Technology & Woods HoleMS in Electrical Engineering & Computer Science
1989Massachusetts Institute of TechnologyBS in Electrical Engineering & Humanities

Teaching

Programs

Teaching

Courses

Introduction to discrete-time signal analysis and linear systems. Topics include time domain analysis of discrete-time linear time-invariant (LTI) systems, solution of difference equations, system function and digital filters, stability and causality, discrete-time Fourier series, discrete-time Fourier transform and discrete Fourier transforms, z-transforms, sampling and the sampling theorem, discrete-time state equations, and communication systems. Students use analysis tools to design systems that meet functional specifications.

Advanced pattern recognition topics. Topics include decision theoretic pattern recognition with contextual information, sequential pattern recognition, error bounds, structural pattern recognition, syntactic and grammatical pattern recognition, error correction parsing, statistical and syntactic mixed models, neural networks and statistical pattern recognition. Several pattern recognition applications are included.

Advanced pattern recognition topics. Topics include decision theoretic pattern recognition with contextual information, sequential pattern recognition, error bounds, structural pattern recognition, syntactic and grammatical pattern recognition, error correction parsing, statistical and syntactic mixed models, neural networks and statistical pattern recognition. Several pattern recognition applications are included.

Topics of timely interest in Electrical and Computer Engineering. Course content may change from year to year according to instructor's preferences.

Topics of timely interest in Electrical and Computer Engineering. Course content may change from year to year according to instructor's preferences.

Fundamental aspects of information theory. Topics include discrete and differential entropy, discrete source and channel model, information rate, mutual information and channel capacity, coding theorems for sources and channels, the data processing theorem, encoding and decoding of data for transmission over noisy channels, rate distortion theory, maximum entropy distributions, and entropy estimation techniques for unknown sources. Several applications of information theory are included.

Research

Research Interests

  • Signal Processing
  • Underwater Acoustics
  • Animal Bioacoustics
  • Engineering Pedagogy

John R. Buck received his S.B. degrees in electrical engineering and humanities (English literature) from the Massachusetts Institute of Technology (MIT) in 1989, and subsequently received his S.M., E.E., and Ph.D. degrees from the MIT/WHOI Joint Program in Ocean and Electrical Engineering in 1991, 1992, and 1996, respectively.

In 1996, Dr. Buck joined the faculty of the University of Massachusetts Dartmouth where he is currently a professor in the Department of Electrical and Computer Engineering. He also holds a joint appointment in the School for Marine Science and Technology. From 2003 to 2004, he was in Australia as a Fulbright Senior Scholar, hosted by the Defence Science and Technology Organisation and Sydney University. His textbook publications include "Discrete-Time Signal Processing, Second Edition" by Oppenheim and Schafer with Buck (Prentice-Hall, 1999) and "Computer Explorations in Signals and Systems Using Matlab (TM), Second Edition" by Buck, Daniel and Singer (Prentice-Hall, 2001). His research interests include signal processing, underwater acoustics, and marine mammal bioacoustics.

Dr. Buck received the Mac Van Valkenburg Early Career Teaching Award from the IEEE Education Society in 2005 and the Leo Sullivan Teacher of the Year award in 2008 from the UMass Dartmouth Faculty Federation. He is a past recipient of the ONR Young Investigator (2000) and NSF CAREER (1998) awards, as well as MIT's Goodwin Medal (1994) and the MIT EECS Department Carlton E. Tucker Teaching Award (1991). Dr. Buck is a member of the IEEE, the Acoustical Society of America, the American Society for Engineering Education, and Sigma Xi.

External links

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