Jeremy Bolton
P.O. Box ******, CSE Bldg. Rm. ***, University of Florida, Gainesville, FL 32611
*******@****.***.******.****.***.***/~jbolton
Education: Ph.D. and M.E. in Computer Engineering, December 2008
Major Advisor: Paul Gader
Thesis Title: Random Set Framework for Context-Based Classification
University of Florida, Gainesville, Florida
Graduate GPA of 3.64
Graduate Curricula
Neural Networks Computer Vision
Pattern Recognition Advanced Topics in Computer Vision
Artificial Intelligence Digital Signal Processing
Bayesian Networks Linear Programming / Optimization
B.S. in Computer Engineering, May 2003
Minor in Mathematics
University of Florida, Gainesville, Florida
Graduated Cum Laude
Core GPA of 3.5
Experience:
Assistant Research Scientist, August 2010 Present
Post Doctoral Research Assistant, January 2009 to July 2010
Research Assistant, January 2003 to December 2008University of Florida, Gainesville, Florida
Random Set and Semiparametric Methods for Analyzing Cultural Features,
National Geospatial Agency HM1582-09-BAA-0006
November 2010 to Present
- Researching and developing models to aid in the organization and analysis of geo-
spatial and cultural data for the purposes of prediction, reasoning and inference
- Researching topological models to represent statistical and multi-temporal data
Autonomous Mine Detection System
July 2010 to Present
- Implementing and analyzing algorithms for landmine detection in ground penetrating
radar (GPR) data
- Assisting in algorithm transfer of knowledge for production and use in-the-field
- Compiling and presenting research reports for sponsors
Vehicle-Mounted Mine Detection System (
VMDS)
December 2007 to Present
- Analyzing detection algorithms for use in-the-field
Ground-Based Standoff Mine Detection System (GSTAMDS)
September 2007 to December 2010
- Implementing and analyzing algorithms for landmine detection in GPR data
- Assisting in algorithm transfer of knowledge for production and use in-the-field
- Compiling and presenting research reports for sponsors
Optimized Multi-Algorithm Systems for Detecting Explosive Objects Using
Robust Clustering and Choquet Integration, National Science Foundation
June 2008 to October 2010
- Developed, implemented and tested context-based methods for target identification
in hyperspectral imagery (HSI) and GPR data
Science of Land Target Spectral Signatures MURI
January 2003 to June 2008
- Researched landmine detection in multiple types of imagery: multispectral, HSI, GPR,
ultraSAR
- Developed unique algorithms for multi-sensor / multi-feature fusion using Bayesian
networks and Choquet integration
- Implemented and analyzed landmine detection algorithms that rely on physical
signatures, qualitative knowledge derived from physical modeling
- Provided feedback to physical modelers and colleagues: Georgia Tech, University of
Hawaii, University of Maryland, Rochester Institute of Technology
- Compiled and presented research reports for sponsors
Wide Area Airborne Minefield Detection (WAAMD)
January 2004 to December 2006
- Worked with WAAMD program including Army Research Labs, Night Vision and
Electronic Sensors Directorate (NVESD), Raytheon, General Dynamics, and Technical
Research Associates
- Applied and analyzed multi-sensor / multi-feature fusion techniques using Bayesian
networks and Choquet integration
- Presented research results at sponsor review meetings
Seminar Lecturer (informal),
January 2004 to PresentUniversity of Florida, Gainesville, Florida
Computational Science and Intelligence Seminar
January 2004 to Present
- Compose and present lectures on the state-of-the-art in computational science,
information theory and statistical learning with various applications
Bayesian Networks Seminar
January 2006 to May 2006
- Composed / presented lectures on the theory and application of Bayesian networks
Software Developer Intern, August 2002 to June 2003Dell Corporation, Austin, Texas
Integrated Process and Product Design (
IPPD)
August 2002 to June 2003
- Developed an I2C debug board along with software interface
- Assisted in development and testing of software interface
- Composed instruction manual of I2C debug tool
Publications:
Brief History, GSTAMDS Algorithm Work Group Review,
Austin, TX, December, 2010.
- Ground Tracking and Multiple Instance Learning vs. Standard Learning,
GSTAMDS Algorithm Work Group Review, Sterling, VA, July 2010.
- Future Research Directions, VMDS Algorithm Work Group Review, Sterling, VA,
June 2010.
- Analysis of Gibbs Sampling HMM, VMDS Algorithm Work Group Review,
Gainesville, FL, February 2010.
- RSF-MIL Progress Update, VMDS Algorithm Work Group Review, Alexandria,
VA, October 2009.
- Analysis of Gibbs Sampling HMM: New Targets, New Antenna, and New Sites,
VMDS Algorithm Work Group Review, Alexandria, VA, October 2009.
- Random Set Framework for Multiple Instance Learning: Learning EHD Features,
VMDS Algorithm Work Group Review, Raleigh, NC, June 2009.
- Random Set Methods: Context Estimation and Feature Learning, GSTAMDS
Algorithm Work Group Review, Gainesville, FL, February 2009.
- Random Set Framework for Context-Based Classification, Twelfth Annual Army
Landmine Detection Research Review Meeting, Springfield, VA, January 2009.
- "Detection Analysis of GPR Systems In-The-Field", VMDS Algorithm Work Group
Review, Alexandria, VA, January 2009.
- "The Use of Active Contours for Landmine Detection", GSTAMDS Algorithm Work
Group Review, Alexandria, VA, August 2008.
- Investigation of Improving Classification of Low Metal Targets, GSTAMDS
Algorithm Work Group Review, Alexandria, VA, May 2008.
- Context-Based Approach for Mine Detection in Hyperspectral Imagery, Eleventh
Annual Army Landmine Detection Research Review Meeting, Springfield, VA,
January 2008.
- Analysis of HMMs for Targeting Explosive Devices, VMDS Algorithm Work
Group Review, Alexandria, VA, October 2007.
- Level 1 Evaluation for Wide Area Airborne Minefield Detection, WAAMD Level 1
Evaluation, Alexandria, VA, August 2005.
- Multi-Sensor Fusion Framework, MURI Internal Review, Gainesville, FL, October
2004.
Sponsored Workshops
- Context-Based Approach for Discrimination and Recognition of Disturbed Soil and
Subsurface Targets, Army Advanced Workshop Disturbed Soil Characterization and
Exploitation, Atlanta, GA, January 2008.
Service: Invited Session Chair
- Context, Ensemble, and Multiple Instance Based Methods for HSI Analysis, IEEE
Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote
Sensing, Lisbon, June 2011
- Tracking Rough Ground in Ground-Penetrating Radar Data, SPIE: Defense and
Security, Orlando, April 2011
- Advances in Ground Penetrating Radar Subsurface Object Detection, SPIE: Defense
and Security, Orlando, April 2011
- Statistical and Physical Approaches: Bridging the Gap, IEEE Workshop on
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing,
Grenoble, August 2009
Program Committee Member
- IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote
Sensing, Reykjavik, June 2010
Technical Committee Member
- IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote
Sensing, August 2009
- IEEE World Congress for Computational Intelligence, May 2008
o IEEE International Conference on Fuzzy Systems
o IEEE International Joint Conference on Neural Networks
Reviewer
- IEEE Geoscience and Remote Sensing Letters, 2010 - Present
- IEEE Transactions Geoscience and Remote Sensing, 2010 - Present
- Pattern Recognition Letters 2010 - Present
- Information Science 2009 Present
- International Symposium on Intelligence Computation and Applications, 2009
- IEEE International Geoscience and Remote Sensing Symposium, 2008 - 2010
- IEEE Transactions Fuzzy Systems, 2007 Present
Member
- IEEE Computer Society, January 2009 Present
- SPIE - The International Society for Optical Engineering, 2008 Present
- IEEE Geoscience and Remote Sensing Society, March 2008 Present
- IEEE Computation Intelligence Society, January 2008 Present
- IEEE, 2007 Present
Speaker
- Army Advanced Workshop Disturbed Soil Characterization and Exploitation, January
2008.
Judge
- NSF: Research Day Poster Competition, Gainesville, October 2010.
Awards: Co-PI
- Random Set and Semiparametric Methods for Analyzing Cultural Features,
Innovative Geospatial Intelligence Concepts HM1582-04-BAA-0006, National
Geospatial-Intelligence Agency, August 2010 August 2012, $445,632.00 Award.
Recipient
- University of Florida Computer and Information Sciences and Engineering Department
College of Engineering Student Travel Grant, May 2008.
- University of Florida Graduate Student Council Travel Award, March 2008.
- University of Florida Office of Research Travel Award, March 2008.
Visa Status: American citizen