Dr. William B. Spillman
Retired
SPIE Involvement:
Author | Instructor
Area of Expertise:
fiber optic sensing , smart structures , complex adaptive systems , biomedical image analysis
Profile Summary

Dr. Spillman received his Ph.D. from Northeastern University in 1977 in experimental solid state physics. The title of his thesis was "Low-Temperature High-Pressure Dielectric Measurements of the Paraelectric-Ferroelectric Phase Transition in the Hydrogen-Bonded Arsenates and their Deuterated Isomorphs." Since that time he worked in industry at the Sperry Corporate Research Center, Geo-Centers, Inc., Hercules Inc. and the Goodrich Corporation prior to joining Virginia Tech as an Associate Professor of Physics and Director of the Virginia Tech Applied Biosciences Center in 1999. He has now retired from Virginia Tech but remains active as a technical consultant to a number of firms and as an expert witness. He has been awarded 44 US and 50 non-US patents and is the author or co-author of more than 170 technical publications, 16 book chapters and edited proceedings, and 2 video short courses. He is a co-editor of the CRC Press Sensors Series of Monographs and has served on the editorial boards of the Journals: Measurement Science & Technology, Optical Engineering, Smart Materials and Structures, Journal of Optics A: Pure and Applied Optics and the International Journal of Optomechatronics. He is a fellow of both the SPIE and the Institute of Physics in the U.K.
Publications (60)

SPIE Press Book | 3 December 2014
KEYWORDS: Fiber optics sensors, Sensors, Fiber optics, Optical fibers, Magnetic sensors, Transducers, Diffraction gratings, Polarization, Multimode fibers

SPIE Journal Paper | 1 January 2008 Open Access
William Spillman, John Robertson, Kenith Meissner, Justin Jesselli, J. Daniel Bourland, Michael Robbins, Edward Shaw
JBO, Vol. 13, Issue 01, 014030, (January 2008) https://doi.org/10.1117/12.10.1117/1.2841020
KEYWORDS: Tumors, Shape analysis, Factor analysis, Tissues, Algorithm development, Image analysis, Cancer, Data conversion, Brain, Biomedical optics

Proceedings Article | 2 July 2007 Paper
Proceedings Volume 6619, 661904 (2007) https://doi.org/10.1117/12.738331
KEYWORDS: Fiber optics sensors, Biosensors, Sensors, Fiber optics, Fiber Bragg gratings, Photodetectors, Biological research, Climate change, Standards development, Sensor technology

Proceedings Article | 23 May 2005 Paper
Proceedings Volume 5855, (2005) https://doi.org/10.1117/12.623415
KEYWORDS: Sensors, Scanning tunneling microscopy, Fiber optics sensors, Optical fibers, Signal processing, Modulation, Heart, Data processing, Data centers, Medicine

Proceedings Article | 16 May 2005 Paper
Proceedings Volume 5761, (2005) https://doi.org/10.1117/12.592928
KEYWORDS: Dielectrics, Capacitance, Polymers, Temperature metrology, Polymer thin films, Humidity, Electrodes, Coating, Aluminum, Glasses

Showing 5 of 60 publications
Proceedings Volume Editor (6)

Showing 5 of 6 publications
Conference Committee Involvement (12)
BioMEMS and Nanotechnology III
5 December 2007 | Canberra, ACT, Australia
BioMEMS and Smart Nanostructures
17 December 2001 | Adelaide, Australia
Complex Adaptive Structures
4 June 2001 | Hutchinson Island, FL, United States
Complex Adaptive Structures
3 June 2001 | Hutchinson Island, United States
Symposium on Applied Photonics
21 May 2000 | Glasgow, United Kingdom
Showing 5 of 12 Conference Committees
Course Instructor
SC288: Fiber Optic Polarization and Bulk Grating Sensors
This video course presents the fundamental principles and practical examples of fiber optic sensors based on polarization and gratings. The mathematical background necessary for understanding polarization and grating effects is developed to the point where it can be utilized for sensor design.
SC293: Fiber Optic Sensors Based on the Faraday Effect
This course covers the theory and operation of the fiber optic sensors based on the Faraday effect in thin films that have been used on gas turbine engines to sense engine speed. These sensors have been in limited production since the late 1980s and represent one of the more successful fiber optic sensors to date.
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