John Buck

faculty

John Buck, PhD he/him/his

Chancellor Professor

Electrical & Computer Engineering

Curriculum Vitae

Contact

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. The laboratory assignments provide hands-on experience processing real world signals.

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. The laboratory assignments provide hands-on experience processing real world signals.

Investigations of a fundamental and/or applied nature, intended to develop design techniques,research techniques, initiative, and independent inquiry. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Completion of the course requires a successful oral defense open to the public and a written thesis approved by the student's thesis committee unanimously and the ECE Graduate Program Director. Admission to the course is based on a formal thesis proposal endorsed by the student's graduate committee and submitted to the ECE Graduate Program Director.

Investigations of a fundamental and/or applied nature, intended to develop design techniques,research techniques, initiative, and independent inquiry. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Completion of the course requires a successful oral defense open to the public and a written thesis approved by the student's thesis committee unanimously and the ECE Graduate Program Director. Admission to the course is based on a formal thesis proposal endorsed by the student's graduate committee and submitted to the ECE Graduate Program Director.

Investigations of a fundamental and/or applied nature, intended to develop design techniques,research techniques, initiative, and independent inquiry. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Completion of the course requires a successful oral defense open to the public and a written thesis approved by the student's thesis committee unanimously and the ECE Graduate Program Director. Admission to the course is based on a formal thesis proposal endorsed by the student's graduate committee and submitted to the ECE Graduate Program Director.

Research for and preparation of doctoral dissertation proposal. The dissertation proposal must provide a thorough survey of the research activities in the research topic area and it must present original and innovative research ideas and preliminary results as well as a defined research scope and directions. PhD students must have passed this course before registering for doctoral dissertation research credits. This course may also be applied toward MS thesis or project credit if PhD student leaves prior to completing their dissertation. In all cases, required deliverables are an oral defense and a written document approved by the student's committee.Graded P/F.

Research for and preparation of doctoral dissertation proposal. The dissertation proposal must provide a thorough survey of the research activities in the research topic area and it must present original and innovative research ideas and preliminary results as well as a defined research scope and directions. PhD students must have passed this course before registering for doctoral dissertation research credits. This course may also be applied toward MS thesis or project credit if PhD student leaves prior to completing their dissertation. In all cases, required deliverables are an oral defense and a written document approved by the student's committee.Graded P/F.

For PhD students who plan to take the PhD Comprehensive exam within the next 3 months. Up to 6 credits may be applied to either doctoral dissertation or MS thesis (should student not pass Comprehensive exam). Graded P/F.

For PhD students who plan to take the PhD Comprehensive exam within the next 3 months. Up to 6 credits may be applied to either doctoral dissertation or MS thesis (should student not pass Comprehensive exam). Graded P/F.

For PhD students who plan to take the PhD Comprehensive exam within the next 3 months. Up to 6 credits may be applied to either doctoral dissertation or MS thesis (should student not pass Comprehensive exam). Graded P/F.

Research

Research awards

  • $ 326,281 awarded by Office of Naval Research for Universal Adaptive Beamformers
  • $ 127,678 awarded by Carnegie Mellon University | Office of Naval Research for Neurobehavioral, Physiological, and Computational Processes of Auditory Object Learning in Mammals
  • $ 1,253,847 awarded by Office of Naval Research for UMassD MUST II: Acoustic Rainfall Measurement on Global Drifters
  • $434,275 awarded by Office of Naval Research | Carnegie Mellon University for Specialization of Neural Processing During Active Acoustic Sensing in Marine Mammals and Humans
  • $584,028 awarded by Office of Naval Research for Random Matrix Theory Analysis of Adaptive Beamformers

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 SM, EE, and PhD 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.

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