Dr. Kevin L. Priddy Profile

Dr. Kevin L. Priddy

Branch Technical Advisor

SPIE Involvement:

Author | Editor | Instructor

Area of Expertise:

Wide Area Motion Imaging , Pattern Recognition , Machine Learning , Layered Sensing , Artificial Neural Networks , Systems Engineering

Profile Summary

Dr. Kevin L. Priddy, is Technical Advisor, Sensor Exploitation Applications Branch, Sensors Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio. The directorate specializes in developing science and technology for superior Air Force systems in the areas of intelligence, surveillance, reconnaissance, precision engagement and electronic warfare. He directs the technical efforts of the Sensor Exploitation Applications Branch in performing research and transitioning technology to meet Air Force needs.

AWARDS AND HONORS

2004, Jacobs Sverdrup, Senior Technical Award
2007, Air Force Research Laboratory Senior Leadership Award
2008, Sensors Directorate Senior Leadership Award
2008, Sensors Directorate Director’s Cup Team Award: Project AngelFire
2009, Air Force Research Laboratory, Commander’s Cup Team Award: Project AngelFire
2009, Air Force STEM Award Exploratory or Advanced Technology Development Team: Angel Fire Team
2010, Sensors Directorate, Director’s Cup, Senior Individual
2011, Air Force Research Laboratory, Commander’s Cup, Senior Individual
2011, Air Force Achievement Medal

BOOKS

“Artificial Neural Networks: An Introduction,” Kevin L. Priddy and Paul E. Keller, SPIE-International Society for Optical Engineering, October 2005, ISBN-13:9780819459879

PATENTS

United States Patent 5,850,625; “Sensor Fusion Apparatus and Method,” December 15, 1998
United States Patent 6,889,165; “Application Specific Intelligent Microsensor,” May 3, 2005.
United States Patent 6,995,655 “Method of simultaneously reading multiple radio frequency tags, RF tags, and RF reader,” February 7, 2006.

PROFESSIONAL MEMBERSHIPS AND ASSOCIATIONS
Senior Member IEEE
Member SPIE
Tau Beta Pi
Eta Kappa Nu

PROFESSIONAL CERTIFICATIONS
SPRDE-Science and Technology Manager, Level III
SPRDE-Systems Engineer, Level III

Publications (36)

Proceedings Article | 20 May 2015

Predicting exploitation success on compressed imagery through common image quality metrics: an initial look

Christopher McGuinness, Patrick Hytla, Kevin Priddy

Proc. SPIE. 9464, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VI

KEYWORDS: Image compression, Detection and tracking algorithms, Data modeling, Image processing, Video, Distortion, Computer programming, JPEG2000, Image quality, Video compression

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Proceedings Article | 20 May 2015

Beyond H.264: implications of next generation video compression on surveillance imagery

Christopher McGuinness, Eric Balster, Kevin Priddy

Proc. SPIE. 9464, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VI

KEYWORDS: Image compression, Image processing, Video, Computer programming, Video surveillance, JPEG2000, Transform theory, Video compression, Quantization, Algorithm development

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SPIE Conference Volume | 30 June 2014

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V

SPIE Conference Volume | 20 June 2013

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IV

SPIE Conference Volume | 7 May 2012

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III

Proceedings Article | 3 May 2012

Automated recognition challenges for wide-area motion imagery

Kevin Priddy, Daniel Uppenkamp

Proc. SPIE. 8391, Automatic Target Recognition XXII

KEYWORDS: Image compression, Detection and tracking algorithms, Visualization, Sensors, Data storage, Image processing, Pattern recognition, 3D modeling, Algorithm development, 3D image processing

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SPIE Conference Volume | 6 May 2011

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II

Proceedings Article | 5 May 2011

A study of multi-static ultrasonic tomography using propagation and back-propagation method

Chengdong Dong, Yuanwei Jin, Matthew Ferrara, Kevin Priddy

Proc. SPIE. 8051, Algorithms for Synthetic Aperture Radar Imagery XVIII

KEYWORDS: Imaging systems, Ultrasonography, Receivers, Ultrasonics, Tomography, Wave propagation, Transducers, Signal processing, Reconstruction algorithms, Evolutionary algorithms

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Proceedings Article | 13 May 2010

Open-source-based architecture for layered sensing applications

Daniel Uppenkamp, Todd Rovito, Kevin Priddy

Proc. SPIE. 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR

KEYWORDS: Defense and security, Human-machine interfaces, Data modeling, Sensors, Databases, Image resolution, Image sensors, Software development, Computer architecture, Standards development

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SPIE Conference Volume | 22 April 2010

Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR

SPIE Conference Volume | 15 April 2010

Evolutionary and Bio-Inspired Computation: Theory and Applications IV

SPIE Conference Volume | 27 April 2009

Evolutionary and Bio-Inspired Computation: Theory and Applications III

SPIE Conference Volume | 20 May 2008

Intelligent Computing: Theory and Applications VI

SPIE Conference Volume | 27 April 2007

Intelligent Computing: Theory and Applications V

SPIE Conference Volume | 4 May 2006

Intelligent Computing: Theory and Applications IV

SPIE Press Book | 30 August 2005

Artificial Neural Networks: An Introduction

Kevin Priddy, Paul Keller

KEYWORDS: Neural networks, Data modeling, Artificial neural networks, Error analysis, Image segmentation, Pattern recognition, Sensors, Evolutionary algorithms, Statistical analysis

Read Description +

Artificial Neural Networks: An Introduction

Proceedings Article | 19 May 2005

Detection system performance metrics with scene content dependencies

Timothy Ross, William Pierson, Edmund Zelnio, Kevin Priddy

Proc. SPIE. 5808, Algorithms for Synthetic Aperture Radar Imagery XII

KEYWORDS: Target detection, Stars, Tissues, Sensors, Monte Carlo methods, Detector development, Palladium, Probability theory, Standards development, Single crystal X-ray diffraction

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SPIE Conference Volume | 28 March 2005

Intelligent Computing: Theory and Applications III

Proceedings Article | 28 March 2005

Self-localization of wireless sensor networks using self-organizing maps

Emre Ertin, Kevin Priddy

Proc. SPIE. 5803, Intelligent Computing: Theory and Applications III

KEYWORDS: Environmental monitoring, Detection and tracking algorithms, Data modeling, Sensors, Surveillance, Sensor networks, Machine learning, Acoustics, Global Positioning System, Radio propagation

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Proceedings Article | 12 April 2004

A comparative analysis of machine classifiers

Kevin Priddy

Proc. SPIE. 5421, Intelligent Computing: Theory and Applications II

KEYWORDS: Machine learning, Fuzzy logic, Classification systems

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SPIE Conference Volume | 12 April 2004

Intelligent Computing: Theory and Applications II

SPIE Conference Volume | 4 August 2003

Intelligent Computing: Theory and Applications

Proceedings Article | 11 March 2002

Reinforcement learning and design of nonparametric sequential decision networks

Emre Ertin, Kevin Priddy

Proc. SPIE. 4739, Applications and Science of Computational Intelligence V

KEYWORDS: Statistical analysis, Sensors, Error analysis, Computing systems, Computer programming, Neural networks, Feature selection, Automatic target recognition, Statistical modeling, Binary data

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SPIE Conference Volume | 11 March 2002

Applications and Science of Computational Intelligence V

Proceedings Article | 11 March 2002

Computational intelligence: Is it real or smoke and mirrors?

Kevin Priddy

Proc. SPIE. 4739, Applications and Science of Computational Intelligence V

KEYWORDS: Mirrors, Complex systems, Computing systems, Data processing, Neural networks, Artificial intelligence, Fuzzy logic, Evolutionary algorithms, Neurons, Brain

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Proceedings Article | 21 March 2001

Dynamic optimization for optimal control of water distribution systems

Emre Ertin, Anthony Dean, Matthew Moore, Kevin Priddy

Proc. SPIE. 4390, Applications and Science of Computational Intelligence IV

KEYWORDS: Energy efficiency, Control systems, Computer programming, Monte Carlo methods, Dynamical systems, Optimization (mathematics), Control systems design, Systems modeling, Device simulation, Scientific programming

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SPIE Conference Volume | 21 March 2001

Applications and Science of Computational Intelligence IV

SPIE Conference Volume | 30 March 2000

Applications and Science of Computational Intelligence III

Proceedings Article | 30 March 2000

Grand challenges

Kevin Priddy

Proc. SPIE. 4055, Applications and Science of Computational Intelligence III

KEYWORDS: Genetic algorithms, Detection and tracking algorithms, Computing systems, Artificial neural networks, Neural networks, Embedded systems, Algorithm development, Fuzzy logic, Fuzzy systems, Evolutionary algorithms

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SPIE Conference Volume | 22 March 1999

Applications and Science of Computational Intelligence II

Proceedings Article | 4 April 1997

Application of highly parallel computing hardware to pattern recognition problems

Kevin Priddy, Karl Mathia, Timothy Robinson, Robert Pap

Proc. SPIE. 3077, Applications and Science of Artificial Neural Networks III

KEYWORDS: Pattern recognition, Parallel processing, Neural networks, Parallel computing, Computer architecture

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Proceedings Article | 6 April 1995

Real-time stable adaptive control implementation using a neural network processor

Timothy Robinson, Mohammad Bodruzzaman, Kevin Priddy, Karl Mathia

Proc. SPIE. 2492, Applications and Science of Artificial Neural Networks

KEYWORDS: Fluctuations and noise, Complex systems, Adaptive optics, Control systems, Computer simulations, Artificial neural networks, Differential equations, Neural networks, Adaptive control, Chaos

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Proceedings Article | 2 March 1994

Design of a MIMD neural network processor

Richard Saeks, Kevin Priddy, Robert Pap, S. Stowell

Proc. SPIE. 2243, Applications of Artificial Neural Networks V

KEYWORDS: Clocks, Parallel processing, Data processing, Neural networks, Fermium, Parallel computing, Computer architecture, Array processing, Network architectures, Neurons

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Proceedings Article | 16 September 1992

Neural networks for segmentation, tracking, and identification

Steven Rogers, Dennis Ruck, Kevin Priddy, Gregory Tarr

Proc. SPIE. 1709, Applications of Artificial Neural Networks III

KEYWORDS: Facial recognition systems, Image segmentation, Image processing, Mouth, Feature extraction, Artificial neural networks, Data processing, Object recognition, Visual system, Neural networks

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Proceedings Article | 16 September 1992

NeuralGraphics: a general-purpose environment for neural network simulation

Gregory Tarr, Kevin Priddy, Steven Rogers

Proc. SPIE. 1709, Applications of Artificial Neural Networks III

KEYWORDS: Seaborgium, Visualization, Imaging systems, Computer simulations, Artificial neural networks, Pollution control, Neural networks, Computer engineering, Binary data, Content addressable memory

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SPIE Journal Paper | 1 February 1992

Optical image segmentation using neural-based wavelet filtering techniques

Christopher Veronin, Kevin Priddy, Steven Rogers, Kevin Ayer, Matthew Kabrisky, Byron Welsh

OE Vol. 31 Issue 02

KEYWORDS: Image segmentation, Wavelets, Image filtering, Optical filters, Forward looking infrared, Spatial filters, Neural networks, Gaussian filters, Scene classification, Image processing

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Showing 5 of 36 publications

Conference Committee Involvement (18)

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VI

20 April 2015 | Baltimore, Maryland, United States

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V

5 May 2014 | Baltimore, Maryland, United States

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IV

29 April 2013 | Baltimore, Maryland, United States

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III

23 April 2012 | Baltimore, Maryland, United States

Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR II

26 April 2011 | Orlando, Florida, United States

Evolutionary and Bio-Inspired Computation: Theory and Applications IV

7 April 2010 | Orlando, Florida, United States

Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR

6 April 2010 | Orlando, Florida, United States

Evolutionary and Bio-Inspired Computation: Theory and Applications III

14 April 2009 | Orlando, Florida, United States

Intelligent Computing: Theory and Applications VI

17 March 2008 | Orlando, Florida, United States

Intelligent Computing: Theory and Applications V

9 April 2007 | Orlando, Florida, United States

Intelligent Computing: Theory and Applications IV

17 April 2006 | Orlando (Kissimmee), Florida, United States

Intelligent Computing: Theory and Applications III

28 March 2005 | Orlando, Florida, United States

Intelligent Computing: Theory and Applications II

12 April 2004 | Orlando, Florida, United States

Intelligent Computing: Theory and Applications

21 April 2003 | Orlando, Florida, United States

Applications and Science of Computational Intelligence V

2 April 2002 | Orlando, FL, United States

Applications and Science of Computational Intelligence IV

17 April 2001 | Orlando, FL, United States

Applications and Science of Computational Intelligence III

24 April 2000 | Orlando, FL, United States

Applications and Science of Computational Intelligence II

5 April 1999 | Orlando, FL, United States

Showing 5 of 18 Conference Committees

Course Instructor

SC166: Fundamentals of Artificial Neural Networks

The course starts with the history of research into biological neural networks used for unsolved problems in information processing. The technology of physiologically motivated information processing to solve engineering problems had advanced. Neural networks for finding patterns in data have progressed out of the laboratory and into products. This course provides the background to understand and apply this technology for recognizing patterns in data.

Expand Description +

SC360: Advanced Neural Networks

Neural networks have been around for over forty years. This course presents many examples of artificial neural networks and provides the attendee with a thorough understanding of the most popular neural networks such as back propagation trained feed-forward neural networks, self-organizing feature maps, adaptive resonance theory (ART), generalized linear and hybrid neural networks. The attendee is given the theoretical background needed to understand why one network or combination of networks works on a given problem but may not be a good choice for others. The instructor introduces the latest algorithms and their applications to many engineering problems.

Expand Description +

SC791: A Practical Course in Neural Networks

This course provides attendees with a basic working knowledge of artificial neural network design. The course concentrates on various types of neural networks and where they can be used to solve common classification problems. Many practical and useful examples are included throughout the course.

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