• Ph.D., Vanderbilt University, 1994
  • M.S., Vanderbilt University, 1989
  • B.S., Texas Tech University, 1983


  • Introduction to Engineering
  • Circuits and Systems
  • Circuits and Systems Lab
  • Programming for Engineers
  • Senior Design I & II
  • Electronics I
  • Electronics I Lab

Research interests

  • Instrumentation and signal processing
  • Real-time and high-performance computing
  • Model-based systems and machine learning
  • Cyber physical systems


Ben Abbott, Ph.D., is an Instructor of Electrical Engineering at St. Mary’s University. He received his B.S. in Computer Science with an Electrical Engineering emphasis from Texas Tech University in 1983. He obtained his M.S. and Ph.D. degrees in Electrical Engineering from Vanderbilt University in 1989 and 1994, respectively.

Prior to joining St. Mary’s in August 2019, Abbott was an Institute Engineer at Southwest Research Institute (SwRI). During his 20 years at SwRI, he rose to the position of Institute Engineer, the highest technical level. In that capacity, he provided expert consultation services for the Institute’s programs and tackled highly specialized problems on behalf of clients. He worked with senior Institute and division staff to plan future technology needs and to lead the development of new programs in his areas of expertise. He also served as a member of SwRI’s Advisory Committee for Research.

Abbott holds nine patents, is a two-time winner of R&D 100 awards and has more than 80 published book, journal and conference papers.


Willden, G., Abbott, B., Green R.: “Wireless Sensing Technology” Chapter 89 in Measurement, Instrumentation, and Sensors Handbook, Second Edition: Spatial, Mechanical, Thermal, and Radiation Measurement, Webster & H. Eren (editors), CRC Press, January 2014.

Abbott, “Model-Based Software Synthesis”, IEEE Software, pp. 42-52, May 1993.

Ledeczi, B. Abbott, “Parallel DSP System Integration”, Microprocessors & Microsystems, Vol. 17, No. 8, pp. 460-470, 1993.

Cripps, B. Abbott, “The Use of Capacitance to Detect Icing,” Journal of Weather Modification. Vol. 29. 1997.

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