Shaun S. Gleason

Shaun S Gleason

Director, Science-Security Initiative Integration, Lab Director's S&T Office

Contact

gleasonss@ornl.gov | 865.341.3545

Bio

Dr. Shaun S. Gleason is an experienced senior leader of science and technology organizations with a focus on research and development, innovation, technology transfer, leadership development, and education. He has 34 years of service at Oak Ridge National Laboratory (ORNL) across three different directorates (Energy Science and Technology, Computing and Computational Sciences, and National Security Sciences) and has experience as R&D staff, Group Leader, Institutional Planning Director, R&D Division Director (for two different divisions), and Interim Associate Laboratory Director. He has an extensive professional network across the DOE laboratory system, academia, industry, and government agencies (DOE, DOD, and the IC).

Shaun is currently the Director of Science-Security Initiative Integration within the Lab Director's S&T Office. In this role, he is leading lab-wide integration efforts for some of ORNL's strategic initiatives such as quantum, AI, self-driving labs, and institutional computing. Previously, he served as interim Associate Laboratory Director for the Computing and Computational Sciences Directorate from June 2023 until December 2023. From 2018 to 2023, he was the founding Director of the Cyber Resilience and Intelligence Division at ORNL. In this role, he was responsible for an R&D portfolio focused on Advanced Intelligence and Resilient Cyber-physical Systems. From 2013 until 2018, Shaun was the Director of the Computational Sciences and Engineering Division at ORNL. From 2011 to 2013, he was Director of ORNL’s Office of Institutional Planning and was responsible for ORNL’s strategic planning process and discretionary R&D investment. From 2008 to 2011, he was the Group Leader of the Imaging, Signals, and Machine Learning (ISML) Group at ORNL. 

Shaun has 30 years of experience in applied image processing, data science, and machine learning for energy, industrial, security, and medical imaging applications. He earned the B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Tennessee, Knoxville, with a research focus on x-ray computed tomography and 2D and 3D model-based medical image segmentation. In 1998 he co-founded and became the VP of a preclinical medical imaging company, ImTek, Inc., that successfully transferred ORNL-developed technology into the commercial sector. After ImTek, Inc. merged with Siemens Medical, he became the Director of the Preclinical Research Division of Siemens Medical until 2008, when he returned to ORNL. He has authored and coauthored 120 publications, four book chapters, and has been issued 10 patents in the field of electrical engineering, computer vision, and machine learning. He is a fellow of AAAS, a Senior Member of the IEEE, and served as chair of the East TN Chapter of the IEEE Engineering in Medicine and Biology Society.

Professional Experience

Director of Science-Security Initiative Integration, Lab Director’s S&T Office, Oak Ridge National Laboratory, December 2023-Present

Interim Associate Laboratory Director, Computing and Computational Sciences Directorate, Oak Ridge National Laboratory, June 2023 to December 2023

  • Responsible for ~500 staff, $350M budget across three R&D divisions: 
    • Computer Science and Mathematics
    • Computational Sciences and Engineering
    • National Center for Computational Sciences

Founding Director, Cyber Resilience and Intelligence Division, Oak Ridge National Laboratory, 2020-Present

  • Lead and establish the R&D strategy for two R&D sections and seven R&D groups:
    • Adversary Intelligence Systems Section
      • Cybersecurity Research
      • Augmented Analyst Intelligence
      • Cyber Identity and Biometrics
    • Resilient Cyber-physical Systems
      • Embedded Systems Security
      • Energy and Control Systems Security
      • Cyber Sensing and Analytics
      • Vulnerability Science
  • Primary accomplishments 
    • Established a 3-year strategy to establish ORNL as a nationally recognized leader in cyber resilience and intelligence
    • Established two R&D sections and seven R&D groups
    • Grew the division’s scientific staff by >100% over two years
    • Grew the division’s budget by >100% over three years

Founding Director, Cyber and Applied Data Analytics Division, Oak Ridge National Laboratory, 2018-2020

  • Lead and establish the R&D strategy for four R&D groups:
    • Cybersecurity
    • Cyber Physical Systems
    • Vulnerability Science
    • Biometrics and Identity Research
    • Multi-modal Analytics and Architectures
  • Primary accomplishments in the first year
    • Established a 3-year strategy to establish ORNL as a nationally recognized leader in cyber and cyber-physical security
    • Established 4 new R&D groups and hired two new group leaders
    • Grew the division’s scientific staff by >50% in one year
    • Grew the division’s budget by >40% 

Director, Computational Sciences and Engineering Division, Oak Ridge National Laboratory, 2013-2018

  • Lead and establish the R&D strategy for nine R&D groups:
    • Modeling & Simulation
    • Cyber and Information Security
    • Quantum Information science
    • Geographic information science
    • Biomedical Science, Engineering, and Computing
    • Computational Earth Sciences
    • Computational Chemistry and Materials Science
    • Computational Engineering
    • Complex Systems
  • Primary accomplishments
    • Grew budget from ~$37M to $65M budget in 5 years
    • Grew division staff from 134 to 180 in 5 years
    • Established two new R&D groups and hired 4 high-caliber group leaders
    • Created and developed a diverse leadership team and succession plan that is paying dividends for ORNL 
    • Established a new biomedical sciences and computing group which has become a national leader within the DOE laboratory system

Director of Institutional Planning, Oak Ridge National Laboratory, 2011-2013

  • Responsible for facilitating ORNL’s science and technology strategic planning process.
  • Laboratory Directed R&D and program development investment management for ORNL ($50M+ budget). 
  • Responsible for coordination of ORNL’s scientific honors and awards program.
  • Served as the Chair of the Information Technology Advisory Council (ITAC) which sets the strategic roadmap for ORNL’s IT application investment and oversees IT project execution.
  • Developed a suite of S&T metrics to track scientific impact of ORNL.

Group Leader and Distinguished Research & Development Staff Member, Oak Ridge National Laboratory, 2008-2011

  • Responsible for management of technical staff members within Image Science and Machine Vision group (13 PhD staff, 4 MS staff, 1 post-doc, 1 post-masters, 2 graduate students. ~$7M budget).
  • Responsible for overall strategic planning and program development activities within R&D portfolio of the group.
  • Principal Investigator of ~$1M total annual budget for computer-vision R&D projects in medical imaging and satellite image analysis.
  • Co-Principal Investigator responsible for $3M program in signal analysis and pattern recognition program for the Marine Corps Light Armored Vehicle Program (2010-2011)

Director of Preclinical Research & Development, Siemens Molecular Imaging, 2007-2008

  • Responsible for all of Siemens Preclinical product development activities including small animal CT, PET, and SPECT modalities.
  • Responsible for five functional research groups comprised of 18 scientists (6 PhD), engineers (10 MS or BS), and technicians (2 AD).
  • Duties include overseeing all R&D activities, interfacing with product management team to define requirements, resources, budgets, and schedules for all new product development projects, direct interaction with manufacturing engineers as products are moved from development into full production.
  • Participate in strategic planning activities to set direction for preclinical research and business.

Director of Preclinical CT & SPECT Products, Siemens Medical (CTI, Inc.), 2004-2006

  • Liaison between CT & SPECT R&D activities and product management/sales team.
  • Interacted heavily with service organization to provide education on efficient service/troubleshooting techniques for small animal CT and SPECT scanners.
  • Project Manager for the “Inveon Multimodality” development, which is now the Siemens Preclinical flagship small animal scanning platform. This platform was designed to support CT, SPECT, and PET imaging modalities. Project management included all ISO design and production standard operating procedures.

Co-founder and Vice President, ImTek, Inc., 1998-2004

  • Co-founded ImTek, Inc. in Knoxville, TN. Negotiated license agreements with ORNL for transfer of microCT software technology. Played critical role in leading ImTek to become (1) the world-leading provider of small animal x-ray microCT scanners, (2) a company with 100% sales growth each of the first four years resulting in > $5M in revenue for FY 2004, (3) a company with a new multi-modality CT-SPECT product offering in 2004 (4) a profitable company with no debt and no outside capitalization.
  • Played a key role in establishing a formal partnership between ImTek and Philips Medical Systems, whereby Philips became the exclusive sales and marketing arm of ImTek.
  • Managed the development and commercialization of all image reconstruction, visualization, and analysis product development for ImTek’s small animal microCT products.
  • Led partnership with multi-processor hardware development company to create a real-time image reconstruction engine for use with ImTek’s microCT scanners.
  • Was engaged in the sales process from initial contact to final close for over 30 imaging systems sold since the foundation of ImTek. This includes ImTek’s first two sales in Europe in 2003.
  • Shared responsibility for searching for, interviewing, hiring, and managing employees including administrative support, technicians, hardware engineers and software engineers.

Senior R&D Staff Member, Oak Ridge National Laboratory, 1989-2004 

  • 2018-2021 ($40M): PI of a DOD funded program to create novel multi-modal signal and image exploitation methods, tools, and capabilities that augment DOD analyst intelligence and improve speed and efficiency of decision makers in an operational environment.
  •  2009-2010 ($4M): Co-PI and task lead for a Navy-sponsored Light Armored Vehicle maintenance program to develop and employ advanced data analytics for a preventative maintenance program.
  • 2003-2006 ($2.1M): Co-PI and co-developer of a program funded by the National Institutes of Health’s National Institute for Biomedical Imaging and Bioengineer­ing to build a combination SPECT/CT system for imaging small animals. The tar­get application for this effort was amyloidosis.
  • 2002-2004 ($800K): Co-developer of a Laboratory Directed Research and Devel­opment project to automatically analyze geospatial information system imagery (e.g. satellite images) within an automated image retrieval environment. Fractal encod­ing technology is a front-end processor for incoming image data to segment the image into appropriate geospatial regions (water, rural, forest, urban, etc.).
  • 2002-2003 ($125K): Co-PI and co-developer of an ORNL seed money program to develop image processing algorithms to automate the analysis of the mitotic spin­dle in eukaryotic cells during mitosis. The spindle is important to cell health, and abnormalities can result in cell death or cancer.
  • 2002-2004 ($850K): Co-PI and co-developer of a DOE Office of Biological and Environmental Research to develop an animal motion tracking system to compen­sate for animal motion during tomographic medical imaging.
  • 2001-2002 ($125K): PI and developer of an ORNL funded seed money program to develop three-dimensional shape modeling algorithms for medical image segmenta­tion.
  • 2000-2001 ($400K): Co-PI and co-developer of ORNL project to integrate single photon emission computed tomography (SPECT) image reconstruction software with a micro-computerized tomography system.
  • 1998-2000 ($800K): Co-PI co-developer of ORNL project to develop software for a x-ray micro-computerized tomography system for screening of mutagenized mice.
  • 1994-1997 ($900K): Technical Leader of 3-year project to develop a spatial signa­ture analysis methodology for SEMATECH (U.S. semiconductor manufacturers consortium) for improved automated inspection of semiconductors during fabrica­tion.
  • 1992-1994 ($570K): PI and co-developer of a $570K, 3-person project in the area of automatic defect classification for semiconductors.
  • 1993-1995 ($120K): Co-PI on an ORNL funded seed money project to develop a computer aided diagnosis system for digital mammography systems.

Awards

  1. UT-Battelle Research Leadership Award, Division Level, 2017 For recruiting and developing highly talented staff, sustaining programmatic growth in areas of scientific strength, building a new PhD program in data science, and leading a growing organization with widely recognized contributions in data and computational sciences for the fields of biomedical and health science, cybersecurity, quantum information science, and national security.
  2. Oak Ridge National Laboratory Significant Event Award, 2010 Establishment of a Condition Based Maintenance Program for the U.S. Marines Light Armored Vehicle Program
  3. FLC Award for Excellence in Technology Transfer: MicroCAT, 2005 Small Animal X-ray Microtomography Scanner Development and Technology Transfer
  4. Oak Ridge National Laboratory Significant Event Award, September 2003 Development of a Stereo-based Animal Tracking System for Medical Imaging Applications
  5. 2002 Southeast Region FLC Excellence in Technology Transfer Award Automated Image Retrieval (AIR) for Semiconductor Yield Improvement
  6. 2002 UT-Battelle Awards Night; Director’s Award for Outstanding Team Accom­plishment in Science and Technology Automated Image Retrieval (AIR) for Semiconductor Yield Improvement
  7. Oak Ridge National Laboratory Significant Event Award, March 2000 Image Processing Software Development for Micro X-ray CT System
  8. 1999 Lockheed Martin Development Accomplishment Award Novel 3D X-ray CT Imaging System to Study Laboratory Animals in Vivo
  9. 1999 Lockheed Martin Development Accomplishment Award FBI Electronic Fingerprint Image Processing System
  10. 1998 Lockheed Martin Development Accomplishment Award Semiconductor Spatial Signature Analysis
  11. 1998 Life Sciences Division Teamwork Award High-Resolution, High-Throughput Tomographic Imaging for Mutagenized Mouse Phenotype Screening.
  12. 1998 American Museum of Science and Energy Award for Technological Achievement Spatial Signature Analyzer
  13. Federal Laboratory Consortium Award for Excellence in Technology Transfer, December, 1997 Improved Semiconductor Yield via Spatial Signature Analysis
  14. Oak Ridge National Laboratory Significant Event Award, March 1997 Delivery of the Spatial Signature Analysis Tool to SEMATECH
  15. Oak Ridge National Laboratory Significant Event Award, January, 1996 Successful completion the KLA Automatic Defect Classification CRADA
  16. 1993 Martin Marietta Energy Systems Technical Achievement Award Development and implementation of a paperless (digital image-based) sys­tem for the processing of fingerprint submissions to the FBI
  17. 1992 Martin Marietta Energy Systems Technical Achievement Award Development and implementation of a postage stamp inspection system for on-line measurement of color quality, color registration, streak detection, and perforation-to-image registration

Education

Ph.D. Electrical Engineering, University of Tennessee, Knoxville, 2001

M.S. Electrical Engineering, University of Tennessee, Knoxville, 1992

B.S. Electrical Engineering, University of Tennessee, Knoxville, 1989

Professional Service

  • Fellow, AAAS
  • Assistant Director and Co-founder, Data Science and Engineering PhD Program, Bredesen Center, ORNL and University of Tennessee, Knoxville
  • Joint Faculty, Data Science and Engineering, Bredesen Center, ORNL and University of Tennessee, Knoxville
  • Senior Member, IEEE
  • Member, Board of Directors, Cyber and Information Security Consortium, 2017-Present
  • Member, Organizing Committee, Electronic Imaging Conference
  • Member, Executive Advisory Board, Critical Infrastructure Resilience Institute, University of Illinois, 2016-2018
  • Chair, East Tennessee Chapter of the IEEE Engineering in Medicine and Biology Society, 2008-2013
  • Associate Editor, Journal of Electronic Imaging, 2008-2014
  • Co-Sponsor, 5th Annual ORNL Biomedical Science and Engineering Conference: Image Informatics and Analytics in Biomedicine, in Cooperation with IEEE EMBS, March 2014.
  • Co-Organizer and Invited Speaker, 3rd Annual ORNL Biomedical Science and Engineering Conference: Image Informatics and Analytics in Biomedicine, in Cooperation with IEEE EMBS, March 2011.
  • Co-Organizer, 2nd Annual ORNL Biomedical Science and Engineering Conference: Biomedical Research and Analysis in Neuroscience (BRAiN), in Cooperation with IEEE EMBS, May 2010.
  • Co-Organizer and Plenary Speaker, 1st Annual ORNL Biomedical Science and Engineering Conference: Exploring the Intersections of Interdisciplinary Biomedical Research, in Cooperation with IEEE EMBS, March 2009.

Professional Affiliations

  • Co-founder, Data Science and Engineering PhD Program, Bredesen Center, ORNL and University of Tennessee, Knoxville
  • Joint Faculty, Data Science and Engineering, Bredesen Center, ORNL and University of Tennessee, Knoxville
  • Senior Member, IEEE
  • Fellow, AAAS
  • Member, Board of Directors, Cyber and Information Security Consortium, 2017-2023
  • Member, Organizing Committee, Electronic Imaging Conference
  • Member, Executive Advisory Board, Critical Infrastructure Resilience Institute, University of Illinois, 2016-2018
  • Chair, East Tennessee Chapter of the IEEE Engineering in Medicine and Biology Society, 2008-2013
  • Associate Editor, Journal of Electronic Imaging, 2008-2014
  • Co-Sponsor, 5th Annual ORNL Biomedical Science and Engineering Conference: Image Informatics and Analytics in Biomedicine, in Cooperation with IEEE EMBS, March 2014.
  • Co-Organizer and Invited Speaker, 3rd Annual ORNL Biomedical Science and Engineering Conference: Image Informatics and Analytics in Biomedicine, in Cooperation with IEEE EMBS, March 2011.
  • Co-Organizer, 2nd Annual ORNL Biomedical Science and Engineering Conference: Biomedical Research and Analysis in Neuroscience (BRAiN), in Cooperation with IEEE EMBS, May 2010.
  • Co-Organizer and Plenary Speaker, 1st Annual ORNL Biomedical Science and Engineering Conference: Exploring the Intersections of Interdisciplinary Biomedical Research, in Cooperation with IEEE EMBS, March 2009.

Trademarks and Patents

  1. “Resolution System for Research and Development Management,” J.W. Smith, S.S. Gleason, M.L. Baker, D.L. Bond, G.L. Capps, R.A. Franklin, and K.B. Jeskie, granted August 2021.
  2. “Imaging system warp correction with phantom assembly,” S. Yan, S. Griffin, S.  Gleason, and Z. Burbar, patent #8,988,601, issued March 2015. 
  3. “Quantitative Phase-Imaging Systems,” C.J. Mann, P.R. Bingham, and S.S. Gleason, patent #8,248,614, issued August 2012.
  4. “System and Method for Generating Motion Corrected Tomographic Images,” S.S. Gleason, and J.S. Goddard, patent #8,170,302, issued May 2012.
  5. “Method for non-referential defect characterization using fractal encoding and active contours,” S.S. Gleason, and H. Sari- Sarraf, patent #7,218,772, issued May 2007.
  6. “Anatomic and functional imaging of tagged molecules in animals,” A.G. Weisenberger, S. Majewski, M.J. Paulus, and S.S. Gleason, patent # 7,209,579, issued April 2007.
  7. “Contextual-based System for Automatic Defect Classification Using Multiple Morphological Masks,” S.S. Gleason, M.A. Hunt, and H. Sari-Sar­raf, patent # 6,456,899, issued September 2002.
  8. “Ultra-High Resolution Computed Tomography Imaging,” M. J. Paulus, H. Sari- Sarraf, S.S. Gleason, K.W. Tobin, and C.E. Thomas, #6,421,409, issued July 2002.
  9. “Automatic Detection of Bone Fragments in Poultry using Multi-Energy X-rays,” S.S. Gleason, M.J. Paulus, and J.A. Mullens, patent #6,370,223, issued April 2002.
  10. “Automated Defect Spatial Signature Analysis for Semiconductor Manufacturing Process Improvement,” S.S. Gleason, T.P. Karnowski, H. Sari-Sarraf, and K.W. Tobin, Jr., patent #5,982,920, issued November 1999.

Publications

View All

Other Publications

BOOK CHAPTERS

  1. Gleason, S., Paulus, M., and Osborne, D., Molecular Imaging: Principles and Practice: Principles of Micro X-ray Computed Tomography, Weisleder, R., et al., eds., McGraw Hill, ISBN 9781607950059, 2010.
  2. Gleason, S., Paquit, V., and Aykac, D., Quantitative Magnetic Resonance Imagining in Cancer: From Theory to Clinical Applications:Image Segmentation, Yankeelov, T., et al., eds., CRC Press, ISBN 978-1-4398-2057-5, 2011.
  3. Miller, S., Bilheux, J., Gleason, S., Nichols, T., Bingham, P., and Green, M., Medical Imaging: Large-scale User Facility Imagining and Scattering Techniques to Facilitate Basic Medical Research, ISBN 978-953-307-774-1, 2011.
  4. J. Gregor, S. Gleason, S. Kennel, M. Paulus, A. Solomon, P. Hawkins, and J. Wall, A microSPECT/CT system for imaging of AA-amyloidosis in mice, M. Kupinski and H. Barrett (eds.), Small-Animal SPECT Imaging, Chapter 15, Plenum US, 2005.

JOURNALS

  1. Jiangye Yuan, Shaun S. Gleason, and Anil M. Cheriyadat, “Systematic Benchmarking of Aerial Image Segmentation,” IEEE Geoscience and Remote Sensing Letters, vol. 10, No. 6, November 2013.
  2. Martins RA, Davis D, Kerekes R, Zhang J, Bayazitov IT, Hiler D, Karakaya M, Frase S, Gleason S, Zakharenko SS, Johnson DA, and Dyer MA. Retinoblastoma (Rb) regulates laminar dendritic arbor reorganization in retinal horizontal neurons. Proc Natl Acad Sci USA. 2011 Dec 27;108(52):21111-6. doi: 10.1073/pnas.1108141108. Epub 2011 December 12. PubMed PMID: 22160703; PubMed Central PMCID: PMC3248513.
  3. C. Mann, P. Bingham, H. Lin, V. Paquit, and S. Gleason, “Dual Modality Live Cell Imaging with Multiple-Wavelength Digital Holography and Epi-Fluorescence,” 3D Research 01, 05, 2011.
  4. Ryan A. Kerekes, Rodrigo A. P. Martins, Denise Davis, Mahmut Karakaya, Shaun Gleason and Michael A. Dyer.  Automated Tracing of Horizontal Neuron Processes During Retinal Development.  Neurochemical Research, vol. 36, no. 4, pp. 583-593, 2011.
  5. Edmund Y. Lam; Shaun S. Gleason; Kurt S. Niel, “Special Section Guest Editorial: Quality Control for Artificial Vision,” J. of Electronic Imaging, 19(3), 031201 (2010). doi:10.1117/1.349700.
  6. Solecki DJ, Trivedi N, Govek EE, Kerekes RA, Gleason SS, and Hatten ME, “Par6α regulated Myosin II motors drive the coordinated movement of centrosome and soma during glial-guided neuronal migration,” Neuron 63(1):63-80, 2009.
  7. J. Gregor, T. Benson, S. Gleason, M. Paulus, S. Figueroa, T. Hoffman, S. Kennel, and J. Wall, "Approximate volumetric system models for microSPECT," IEEE Transactions on Nuclear Science, vol. 53, pp. 2646-2652, October 2006.
  8. J.S. Wall, S.J. Kennel, M.J. Paulus, S. Gleason, J. Gregor, J. Baba, M. Schell, T. Richey, B. O'Nuallain, R. Donnell, P.N. Hawkins, D.T. Weiss and A. Solomon, “Quantitative high-resolution microradiographic imaging of amyloid deposits in a novel murine model of AA-amyloidosis,” Amyloid: The Journal of Protein Folding Disorders, 12, (3), 149-156, September 2005.
  9. J.S. Wall, M.J. Paulus, S. Gleason, J. Gregor, A. Solomon and S.J. Kennel, “Micro-Imaging of Amyloid in Mice,” Methods Enzymol. 412:161-82, PMID: 17046658, 2006.
  10. Weisenberger, A. G., Gleason, S. S., Goddard, J., Kross, B., Majewski, S., Meikle, S. R., Paulus, M. J., Pomper, M., Popov, V., Smith, M. F., Welch, B. L., and Wojcok, R., “A Restraint-Free Small Animal SPECT Imaging System with Motion Tracking,” IEEE Trans. on Nucl. Science, vol. 52, no. 3, pp. 638-644, June 2005.
  11. J. Price, D. Aykac, S. Gleason, K. Chourey, and Y. Liu, “Quantitative Comparison of Mitotic Spindles by Confocal Image Analysis,” Journal of Biomedical Optics, vol. 10, no. 4, 044012, July/August 2005.
  12. Hung-Yam Chan, Hamed Sari-Sarraf, Bradley I. Grinstead, and Shaun S. Gleason, “Content-Based Compression of Mammograms with Customized Fractal Encoding and a Modified JPEG2000,” J. Optical Engineering, Vol. 43, Issue 12, 2004.
  13. J. Gregor, S. Gleason, M. Paulus, and J. Cates, "Fast Feldkamp reconstruction based on focus of attention and distributed computing", International Journal of Imag­ing Systems and Technology, vol.12, no. 6, pp. 229-234, 2002.
  14. S. Gleason, H. Sari-Sarraf, M. Abidi, O. Karakashian, and F. Morandi, "A New Deformable Model for Analysis of X-ray CT Images in Preclinical Studies of Mice for Polycystic Kidney Disease," IEEE Trans. on Medical Imaging, vol. 21, no. 10, October 2002.
  15. M. Paulus, and S. Gleason, “Issues in Animal Handling for Micro CT,” High-Reso­lution Imaging of Small Animals, September 2001.
  16. M. Paulus, S. Gleason, M. Easterly, and C. Foltz, “A review of high-resolution x-ray computed tomography and other imaging modalities for small animal research,” Lab Animal 30(3), 36-45, 2001.
  17. M. Paulus, S. Gleason, S. Kennel, P. Hunsicker, and D. Johnson, “High resolu­tion x-ray computed tomography: an emerging tool for small animal cancer research,” Neoplasia, 2(1), 62-70, 2000.
  18. S. Gleason, H. Sari-Sarraf, M. Paulus, D. Johnson, S. Norton, and M. Abidi, “Reconstruction of Multi-Energy, X-ray Computed Tomography Images of Laboratory Mice,” IEEE Trans. on Nuclear Science, vol.46, no.4, pt.2, pp. 1081-6, August 1999.
  19. M. Paulus, H. Sari-Sarraf, S. Gleason, M. Bobrek, J. Hicks, D. Johnson, J. Behel, and L. Thompson, “A new x-ray computed tomography system for labora­tory mouse imaging,” IEEE Trans. on Nuclear Science, vol. 46, no.3, pt.2, pp. 558-64, June 1999.
  20. K. Tobin, T. Karnowski, S. Gleason, D. Jensen, and F. Lakhani, “Using Historical Wafermap Data for Automated Yield Analysis,” Journal of Vacuum Science Technology, Summer, 1999.
  21. Tobin K. W., Gleason S. S., Karnowski, T. P., and Bennett, M. H., “Semiconductor Defect Data Reduction for Process Automation and Characterization,” Journal of Process and Analytical Chemistry, vol. 3, no. 3,4, Spring, 1998.
  22. Tobin, K.W., Gleason, S. S., Karnowski, T. P., and Guidry, D., “Using SSA to Mea­sure the Efficacy of Automated Defect Data Gathering”, Micro, p. 27-33, April 1998.
  23. Tobin, K. W., Gleason, S. S., Lakhani, F., and Bennett, M. H., “Automated Analysis for Rapid Defect Sourcing and Yield Learning,” Future Fab International, issue 4, vol. 1, p. 313-320, 1998.
  24. Gleason, S. S., Tobin K. W., and Karnowski, T. P., “Spatial Signature Analysis of Semiconductor Defects for Manufacturing Problem Diagnosis,” Solid State Technology, July 1996.

CONFERENCES AND PROCEEDINGS 

  1. Vatsavai, R.R.; Bhaduri, B.; Cheriyadat, A.; Arrowood, L.; Bright, E.; Gleason, S.; Diegert, C.; Katsaggelos, A.; Pappas, T.; Porter, R.; Bollinger, J.; Chen, B.; and Hohimer, R.; , "Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities," Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International , vol., no., pp.48 51, 25-30 July 2011.
  2. Roberts, R. S.; Pope, P. A.; Vatsavai, R. R.; Jiang, M.; Arrowood, L. F.; Trucano, T. G.; Gleason, S.; Cheriyadat, A.; Sorokine, A.; Katsaggelos, A. K.; Pappas, T. N.; Gaines, L. R.;  and Chilton, L. K.;, "Design of benchmark imagery for validating facility annotation algorithms," Proc. IEEE International Geoscience And Remote Sensing Symposium (IGARSS), July 24-29, 2011.
  3. S. Gleason, M. Dema, H. Sari-Sarraf, A. Cheriyadat, R. Vatsavai, and R. Ferrell. “Verification & Validation of a Semantic Image Tagging Framework via Generation of Geospatial Imagery Ground Truth.” IEEE International Geoscience and Remote Sensing Symposium. August 2011.
  4. Sridharan Kamalakannan; Christopher J. Mann; Philip R. Bingham; Thomas P. Karnowski; and Shaun S. Gleason, “Automatic firearm class identification from cartridge cases,” SPIE Proceeding on Image Processing: Machine Vision Applications IV, vol. 7877, #78770P, February 2011.
  5. Vincent C. Paquit, Shaun S. Gleason and Udaya C. Kalluri, "Monitoring plant growth using high resolution micro-CT images", Proc. SPIE 7877, 78770W (2011). doi:10.1117/12.876719 (http://spiedigitallibrary.org/proceedings/resource/2/psisdg/7877/1/78770W_1)
  6. Kerekes, R.A.; Gleason, S.S.; Martins, R.A.P.; and Dyer, M.; , "Fully automated segmentation and characterization of the dendritic trees of retinal horizontal neurons," Biomedical Sciences and Engineering Conference (BSEC), 2010 , vol., no., pp.1-4, 25-26 May 2010. doi: 10.1109/BSEC.2010.5510843. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5510843&isnumber=5510791
  7. Shaun Gleason, Vincent Paquit, Hassina Bilheux, and Udaya Kalluri, “X-ray and Neutron Imaging for Plant System Biology Investigations,” Proc. of the Future of Instrumentation International Workshop, November 2010.
  8. Ranga Raju Vatsavai, Anil Cheriyadat, and Shaun Gleason: Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-resolution Remote Sensing Images. In the proceedings of the IEEE ICDM International workshop on Spatial and Spatiotemporal Data Mining (SSTDM-10), IEEE, December 2010.
  9. Gleason SS, Ferrell RK, Cheriyadat A, Vatsavai R, and De S, “Semantic Information Extraction from Multispectral Geospatial Imagery via a Flexible Framework,” Invited Paper, IEEE International Geoscience and Remote Sensing Symposium, 2010.
  10. Vatsavai, R., Cheriyadat, A., Gleason, S., and Ferrell, R., “Supervised Semantic Classification for Nuclear Nonproliferation Monitoring,” IEEE Applied Imagery and Pattern Recognition Workshop, 2010.
  11. Kerekes, Ryan A.; Gleason, Shaun S.; Trivedi, Niraj; and Solecki, David J., “Automated method for tracing leading and trailing processes of migrating neurons in confocal image sequences”, Medical Imaging 2010: Image Processing. Edited by Dawant, Benoit M.; Haynor, David R. Proceedings of the SPIE, Volume 7623, pp. 76233T-76233T-10, 2010.
  12. Mahmut Karakaya, Ryan A. Kerekes, Shaun S. Gleason, Rodrigo A. P. Martins, and Michael Dyer, “Automatic Detection, Segmentation and Characterization of Retinal Horizontal Neurons in Large-scale 3D Confocal Imagery”, SPIE Medical Imaging Conference, 2011.
  13. Barbara Beckerman, Chris Symons, Ryan Kerekes, Vincent Paquit, Robert Patton, and Shaun Gleason, “A Multi-Modal, Semi-Supervised Learning System for Building Better Decision Support Systems for the Analysis of Mammograms," in 2009 Annual Meeting of the Radiological Society of North America (RSNA), 2009.
  14. Kerekes RA, Gleason SS, Trivedi N, and Solecki DJ, “Automated 3-D Tracking of Centrosomes in Sequences of Confocal Image Stacks,” Proc. IEEE Eng. in Medicine and Biology Conference, 2009.
  15. Beckerman B, Patton R, Symons C, McMillan A, Gleason S, Kerekes R, Paquit V, and Nishikawa R,” An Overview of the Data Analytics for Medicine Using Semi-Supervised learning (DAMSEL) Program,” Proc. IEEE Biomedical Sci. and Eng. Conf., ORNL, 2009.
  16. Gleason SS, Ferrell RK, Ramachandran J, and Vatsavai RR, “Large Scale Geospatial Image Indexing and Retrieval to Detect Nuclear Proliferation Activity,” National Research Forum 2.0, NGA Innovation Directorate, Oak Ridge National Laboratory, April 2009.
  17. I. Hong, Z. Burbar, S. Yan, and S. Gleason, “Ultra Fast 3D Cone Beam CT Reconstruction,” Proc. IEEE Medical Imaging Conference, #M06-355, Dresden, Germany, October 2008.
  18. Atkins, B.E., Austin, D.W., Mintzer, R.A., Siegel, S.B., and Gleason, S.S., “A Data Acquisition and Event Processing Module for Small Animal SPECT Imaging,” Proc IEEE Medical Imaging Conference, #M13-57, Honolulu, HI, November 2007.
  19. Osborne, D., Gleason, S., Kemp, B.J., Austin, D.W., Yan, S., Pressley, D., Newport, D., Carothers, M., Kincaid, S. and Bailey, D.L., “A Novel PET-CT Acquisition and Analysis Workflow for Small Animal Imaging Systems,” Proc. of the SNM Annual Meeting, InfoSNM Computer Presentation #721, Washington DC, June 2007.
  20. Shaun Gleason, Derek Austin, Robert Mintzer, Blake Atkins, Bing Feng, and Bing Bai, “A Versatile SPECT-CT System for Small Animal Imaging,” Proc. Society of Molecular Imaging Annual Meeting, #0515, Providence, RI, September 2007.
  21. Osborne, D., and Gleason, S., “Study of CT-Based Attenuation Correction Factors for microPET using kVp Dependent Hu Calibration,” Proc. Society of Molecular Imaging Annual Meeting, #07-A-1153-SMI-0785, Providence, RI, September 2007. 
  22. Gleason, S.S., Austin, D.W., Beach, R., Nutt, R.N., Paulus, M.J., and Yan, S., “A New Highly Versatile Multimodality Small Animal Imaging Platform,” Proc. IEEE Medical Imaging Conference, #M11-67, San Diego, CA, November 2006.
  23. Austin, D.W., Paulus, M.J., Gleason, S.S., Mintzer, R.A., Siegel, S., Figueroa, S., Hoffman, T.J., and Wall, J., Design and Performance of a New SPECT Detector for Multimodality Small Animal Imaging Platforms, Proc. IEEE Medical Imaging Conference, #M14-63, San Diego, CA, November 2006.
  24. Tobin, K.W., Aykac, D., Govindasamy, V.P., Gleason, S.S., Gregor, J., Karnowski, T.P., Price, J.R., and Wall, J., “Image-based Informatics for Preclinical Biomedical Research,” 2nd International Symposium on Visual Computing, LNCS 4292, Springer-Verlag, Berlin, pp. 1740-1750, 2006.
  25. J. Gregor, S. Gleason, S. Kennel, M. Paulus, A. Solomon, P. Hawkins, and J. Wall, "A microSPECT/CT system for imaging of AA-amyloidosis in mice", Small-Animal SPECT Workshop, Tucson, AZ, January 2004. 
  26. Baba, J. S., Gleason, S. S., Goddard, J. S.., and Paulus, M. J., “Application of polarization for optical motion-registered SPECT functional imaging of tumors in mice,” submitted to Photonics West the SPIE International Symposium on Biomedical Optics, San Jose, CA.: Optical Diagnostics and Sensing V, abstract no 5702-17, January 22-28, 2005.
  27. S. S. Gleason, J. S. Goddard, M. J. Paulus, J. S. Baba, S. Majewski, M. Smith, A. Weisenberger, B. Welch, and R. Wojcik, “Real-Time, High-Accuracy 3D Tracking of Small Animals for Motion-Corrected SPECT Imaging”, Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, Rome, Italy, October 2004.
  28. J. Gregor, S. Gleason, S. Kennel, M. Paulus, T. Benson and J. Wall, “Approximate volumetric system models for MicroSPECT”, Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, Rome, Italy, October 2004.
  29. A.G. Weisenberger, B. Kross, S. Majewski, V. Popov, M.F. Smith, V.H. Tran, B. Welch, R. Wojcik, S. Gleason, J. S. Goddard M. Paulus, and S.R. Meikle " Two 10 cm x 20 cm Detector Heads for a Restraint Free Small Animal SPECT Imaging System ", Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, Rome, Italy, October 2004.
  30. J. Gregor, S. Gleason, S. Kennel, M. Paulus, A. Solomon, P. Hawkins, and J. Wall, "A MicroSPECT/CT System for Imaging of AA-Amyloidosis in Mice", Small-Animal SPECT Workshop, Tucson, AZ, 2004.
  31. A.G. Weisenberger, B. Kross, S. Majewski, V. Popov, M.F. Smith, B. Welch R. Wojcik, J. S. Goddard, S. S. Gleason, M. J. Paulus, S.R. Meikle, and M. Pomper, “A Small Animal SPECT Imaging System Utilizing Position Tracking of Un-anesthetized Mice,” NIBIB Workshop on Small-Animal SPECT, University of AZ, January 2004.
  32. A.G. Weisenberger, B. Kross, S. Majewski, V. Popov, M.F. Smith, B. Welch R. Wojcik, J. S. Goddard, S. S. Gleason, M. J. Paulus, S.R. Meikle, and M. Pomper, “A Small Animal SPECT Imaging System Utilizing Position Tracking of Un-anesthetized Mice,” NIBIB Workshop on Small-Animal SPECT, University of AZ, January 2004.
  33. B.L. Welch, S. Majewski, V. Popov, A.G. Weisenberger, R. Wojcik, J.S. Goddard, S.S. Gleason, and M.J. Paulus, “Acquisition and Control for a Combined SPECT/Infrared Tracking System for Restraint-Free Small Animal Imaging,” Proc. IEEE Medical Imag­ing Conference, November 2003.
  34. A.G. Weisenberger, B. Kross, S. Majewski, V. Popov, M.F. Smith, B. Welch R. Wojcik, S. Gleason, J. Goddard, M. Paulus, and S.R. Meikle, “Development and Testing of a Restraint Free Small Animal SPECT Imaging System with Infrared Based Motion Tracking,” Proc. IEEE Medical Imag­ing Conference, November 2003.
  35. J. S. Goddard, S. S. Gleason, M. J. Paulus, S. Majewski, V. Popov, M. Smith, A. Weisenberger, B. Welch, and R. Wojcik, “Pose measurement and tracking system for motion-correction of unrestrained small animal PET/SPECT imaging,” Proc. IEEE Medical Imag­ing Conference, November 2003.
  36. M. Paulus, S. Gleason, J. Goddard, S. Kennel, J. Wall, A. Solomon, J. Gregor, and more, "Initial results with a small animal microSPECT/CT imaging system", High-resolution Molecular Imaging in Small Animals (IMI/HiRes), Madrid, Spain, September 2003.
  37. Shaun S. Gleason, James Goddard, Michael Paulus, Ryan Kerekes, Andrew Weisenberger, Stan Majewski, Mark Smith, and Ben Welch, “Automated Pose Determination for Unrestrained, Non-anesthetized Small Animal Micro-SPECT and Micro-CT Imaging,” Proc. Society of Molecular Imaging Conf., August 2003.
  38. J. Gregor, S. Gleason, and M. Paulus, "Conebeam x-ray computed tomography with an offset detector array", IEEE Int. Conf. Image Proc., Barcelona, Spain, September 2003.
  39. R. A. Kerekes, J. S. Goddard, S. S. Gleason, M. J. Paulus, A. G. Weisenberger, M. F. Smith, and B. Welch, “Two methods for tracking small animals in SPECT imaging,” Proc. Quality Control by Artificial Vision, May 2003.
  40. Regina K. Ferrell, Shaun S. Gleason, and Kenneth W. Tobin, “Application of Fractal Encoding Techniques for Image Segmentation,” Proc. Quality Control by Articial Vision, May 2003.
  41. J. Gregor, T. Benson, S. Gleason, and M. Paulus, "Support algorithms for x-ray micro-CT conebeam imaging", Int. Conf. Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Saint Malo, France, July 2003.
  42. A.G. Weisenberger, B. Kross, S. Majewski, V. Popov, M.F. Smith, B. Welch, R. Wojcik, M. J. Paulus, J. S. Goddard, S. S. Gleason, S.R. Meikle, and M. Pomper, "Development of a Restraint Free Small Animal SPECT Imaging System," Academy of Molecular Imaging Annual Conference, San Diego, CA, October 2002.
  43. J. Goddard, S. Gleason, R. Kerekes, M. Paulus, A. Weisenberger, M. Smith, B. Welch, and R. Wojcik, "Real-time landmark-based unrestrained animal tracking system for motion-corrected PET/SPECT imaging," Proc. IEEE Medical Imag­ing Conference, November 2002.
  44. M. Dickens, S. Gleason, and H. Sari-Sarraf, “Volumetric segmentation via 3D active shape models,” Proc. IEEE Southwest Symposium on Image Analysis and Interpretation, pp. 248-252, April 2002.
  45. S. Gleason, H. Sari-Sarraf, and M. Abidi, “Probabilistic Shape and Appearance Model for Scene Segmentation,” Proc. IEEE International Conference on Robotics and Automation, May 2002.
  46. S. Gleason, R. Ferrell, T. Karnowski, and K. Tobin, “Detection of semiconductor defects using a novel fractal encoding algorithm”, Design, Process Integration, and Diagnostics in IC Manufacturing, Proceedings of the SPIE Vol. 4692, March 2002.
  47. Weisenberger, S. Majewski, M. Smith, S. Meikle, E. Bradley, R. Welsh, M. Saha, S. Gleason, M. Paulus, D. Glover, A. Goode and M. Williams, “High Res­olution Detector Modules Based on High Granularity NAI(TL) Arrays Utilizing Optimized Collimator Designs Customized for Small Animal Single Photon Imaging,” Proc. of the Society of Nuclear Medicine, June 2002.
  48. S. Gleason, “Development of a Unified Probabilistic Framework for Segmenta­tion and Recognition of Semi-Rigid Objects in Complex Backgrounds via Deformable Shape Models,” Ph.D. Dissertation, University of Tennessee, Knoxville, TN, May 2001.
  49. S. Gleason, H. Sari-Sarraf, M. Dickens, M. Abidi, and M. Paulus, “Probabilistic Shape and Appearance Model for the Segmentation of Anatomic Structures within Tomographic Images of Laboratory Mice,” Proc. High-Resolution Imag­ing of Small Animals Conf., Rockville, MD, September 2001.
  50. K. Kruse, P. T. Williams, A. K. Mazer, S. S. Gleason, and J. R. Hammersly, “Numerical Simulation of Airflow in a Realistic Porcine Airway Model,” Proc. Biomedical Engineering Society's Conference, Durham, NC, October 2001.
  51. K. Kruse, P. Williams, G. Allgood, R. Ward, S. Gleason, M. Paulus, N. Munro, G. Mahinthakumar, C. Narasimhan, J. Hammersley, and D. Olson “Flow Simulation in a 3-D Model of Pig Airways and Connection to Lung Sounds” in “Visualiza­tion of Temporal and Spatial Data for Civilian and Defense Applications,” Pro­ceedings of the SPIE, Vol. 4368 pp 168-176, 2001.
  52. M. Dickens, H. Sari-Sarraf, and S. Gleason, “A streamlined volumetric landmark placement method for building three-dimensional active shape models,” Proc. SPIE Medical Imaging Conf., San Diego, CA, February 2001. 
  53. B. Grinstead, H. Sari-Sarraf, S. Gleason, and S. Mitra, “Content-Based Compres­sion of Mammographic Images”, Proc. SPIE Conf. Medical Imaging: Image Processing, San Diego, CA, February 2001.
  54. T. Karnowski, S. Gleason, and K. Tobin, “Fuzzy Logic Connectivity in Semi­conductor Defect Clustering,” SME Technical Paper MS00-240, Dearborn, MI: Society of Manufacturing Engineers, 2000.
  55. B. Grinstead, H. Sari-Sarraf, S. Gleason, and S. Mitra, “Content-Based Compres­sion of Mammograms for Telecommunication and Archiving”, Proc. 13th IEEE Sym. on Computer Based Medical Systems, 2000.
  56. S. Gleason, H. Sari-Sarraf, M. Paulus, D. Johnson, and M. Abidi, “Automatic screening of polycystic kidney disease in x-ray CT images of laboratory mice,” Proc. SPIE Conf. on Medical Imaging, vol. 3979, pp. 837-846, February 2000.
  57. S. Gleason, H. Sari-Sarraf, M. Paulus, D. Johnson, and M. Abidi, “Statistical-based deformable models with simultaneous optimization of object gray-level and shape characteristics,” Proc. IEEE Southwest Symposium on Image Analysis and Interpretation, pp.93-95, April 2000.
  58. M. Paulus, S. Gleason, H. Sari-Sarraf, D. Johnson, C. Foltz, D. Austin, M. East­erly, E. Michaud, M. Dhar, P. Hunsicker, J. Wall, and M. Schell, “High-resolu­tion x-ray CT screening of mutant mouse models,” Proc SPIE, vol. 3921, pp. 270-9, 2000.
  59. S. Gleason, H. Sari-Sarraf, M. Paulus, D. Johnson, and M. Abidi, “Statistical-based Deformable Models for Image Segmentation: An Application to X-ray Micro- CT Images of Laboratory Mice”, Proc. International Workshop on Anatomical Models, September 1999.
  60. S. Gleason, H. Sari-Sarraf, M. Paulus, D. Johnson, and M. Abidi, “Deformable Model-based X-ray CT Image Segmentation for Automatic Phenotype Identifi­cation in Laboratory Mice,” Second Tennessee Conf. on Biomedical Engineer­ing, Vanderbilt University, Nashville, TN, April 1999. 
  61. H. Sari-Sarraf, S. S. Gleason, and R. M. Nishikawa, “Front-End Data Reduc­tion in Computer-Aided Diagnosis of Mammograms: A Pilot Study,” Proc. SPIE Medical Imaging Conf., San Diego, CA, February 1999. 
  62. K. Tobin, T. Karnowski, S. Gleason, D. Jensen, and F. Lakhani, “Integrated Yield Management”, 196th Meeting of the Electrochemical Society, Inc., Oct. 17-22, Honolulu, Hawaii, 1999.
  63. Karnowski, T.P., Tobin, K.W., Gleason, S.S., and Lakhani, F., “The Application of Spatial Signature Analysis to Electrical Test Data: Validation Study,” Proc. SPIE Metrology, Inspection, and Process Control for Microlithography XIII, Santa Clara, CA, March 14-19, 1999.
  64. Gleason, S. S., Sari-Sarraf, H., Paulus, M. J., Johnson, D. K., Norton, S. J., and Abidi, M. A., “Reconstruction of High-Resolution, Multi-Energy, X-ray Com­puted Tomography Laboratory Mouse Images,” Proc. of the IEEE Medical Imaging Conference, September 1998.
  65. Paulus, M. J., Sari-Sarraf, H., Gleason, S. S., Bobrek, M., Hicks, J. S., Johnson, D. K., Behel, J. K., and Thompson, L., “A New X-ray Computed Tomography Sys­tem for Laboratory Mouse Imaging,” Proc. of the IEEE Nuclear Science Sym­posium, September 1998.
  66. S. Gleason, K. Tobin, and T. Karnowski, “Rapid Yield Learning through Optical Defect and Electrical Test Analysis,” Proc. SPIE 23rd Annual Symposium on Microlithography, February 1998.
  67. M. J. Paulus, H. Sari-Sarraf, S. S. Gleason, M. Bobrek, J. S. Hicks, and D. K. Johnson, “A High-Resolution Computed Tomography System for Mouse Phe­notype Screening,” Oak Ridge National Laboratory Functional Genomics Workshop, April 1998.
  68. T. P. Karnowski, S. S. Gleason, and K. W. Tobin, Jr., “Fuzzy Connectivity of Semi­conductor Defect Events,” SPIE Proc. on Machine Vision Applications in Industrial Inspection, January 1998.
  69. K. W. Tobin, Jr., S. S. Gleason, and T. P. Karnowski, “Adaptation of the Fuzzy k- Nearest Neighbor Classifier for Manufacturing Automation,” SPIE Proc. on Machine Vision Applications in Industrial Inspection, January 1998.
  70. Tobin, K.W., Gleason, S.S., Karnowski, and Lakhani, F., “Semiconductor Spa­tial Signature Analysis: Electrical Test Validation Study”, Technology Transfer 98083553A-ENG, SEMATECH, Austin, TX, October 1998.
  71. S. S. Gleason, Sari-Sarraf, H., Hudson, K. T., and Hubner, K. F., “Higher Accuracy and Throughput in Computer-Aided Screening of Mammographic Microcalcifi­cations,” Proc. of the IEEE Nuclear Science Symposium and Medical Imaging Conference, November 1997.
  72. K. W. Tobin, S. S. Gleason, T. P. Karnowski, S. L. Cohen and F. Lakhani, “Semiconductor Spatial Signature Analysis: Validation and Status Report,” SEMATECH Tech.Transfer # 97073322A-TR, August 1997.
  73. S. S. Gleason, K. W. Tobin, and T. P. Karnowski, “An Integrated Spatial Signature Analysis and Automatic Defect Classification System,” Proc. of 191st Meeting of The Electrochemical Society, Inc., May 1997.
  74. K. W. Tobin, S. S. Gleason, T. P. Karnowski, S. L. Cohen and F. Lakhani, “Automatic Classification of Spatial Signatures on Semiconductor Wafermaps”, SPIE Proc. on Metrology, Inspection, and Process Control for Microlithogra­phy XI, vol. 3050, March 1997.
  75. K. W. Tobin, S. S. Gleason, T. P. Karnowski, and S. L. Cohen, “Feature Analysis and Classification of Manufacturing Signatures on Semiconductor Wafers,” Int. Soc. for Optical Engineering 9th Annual Symposium on Electronic Imaging: Science and Technology, San Jose, CA, February 9-14, 1997.
  76. Tobin, K.W., Gleason, S.S., Karnowski, T.P., Cohen, S.L., and Lakhani, F., “Semiconductor Spatial Signature Analysis: Validation and Status Report”, Technology Transfer 97073322A-TR, SEMATECH, Austin, TX, August 1997.
  77. Gleason, S. S. and Tobin, K. W., “Directional-based Dilation for Connection of Piece-wise Objects: A Semiconductor Manufacturing Case Study,” Proc. Inter­national Conference on Image Processing, September 1996.
  78. Sari-Sarraf, H., Gleason, S. S., Hudson, K. T., and Hubner, K. F., “A Novel Approach to Computer-Aided Diagnosis of Mammographic Images,” Third IEEE Workshop on Applications of Computer Vision, December 1996.
  79. Sari-Sarraf, H., Gleason, S. S., Redmon, C. G., Hudson, K. T., and Hubner, K. F., “Reducing Data and False Detections in Computer-Aided Diagnosis of Micro­calcifications,” The 82nd Annual Scientific Assembly and Annual Meeting of the Radiological Society of North America, December 1996.
  80. Hunt, M. A., Hicks, J. S., and Gleason, S. S., “Part Identification Using Robust Fea­ture Extraction and Pattern Classification,” Proc. of the SPIE Conf. on Elec­tronic Imaging: Science and Technology, Vol. 2665, January 1996.
  81. Tobin, K.W., Gleason, S. S., Karnowski, T. P., Sari-Sarraf, H., and Bennett, M. H., “An Image Paradigm for Semiconductor Defect Data Reduction,” Proc. of the SPIE Microlithography Conference, vol. 2725, March 1996
  82. Tobin, K.W., Gleason, S.S., Jones, P.G., and Bennett, M.H., “Automatic Defect Classification System Benchmark Results and Market Survey”, Technology Transfer 95032760A-ENG, SEMATECH, Austin, TX, March 1995.
  83. Bennett, M.H., Tobin, K.W., and Gleason, S.S., “Automatic Defect Classification: Status and Industry Trends”, Integrated Circuit Metrology, Inspection, and Pro­cess Control IX, Proc. SPIE, Vol. 2439, p. 210-220, May 1995.
  84. Gleason, S. S., Hunt, M. A., and Sari-Sarraf, H., “Semiconductor Yield Improve­ment Through Automatic Defect Classification,” CRADA Final Report for CRADA Number ORNL92-0140, September 1995.
  85. Tobin, K.W., Gleason, S.S., Jones, P.G., and Bennett, M.H., “Automatic Defect Classification System Benchmark Results and Market Survey,” Technology Transfer #95032760A-ENG, SEMATECH, Austin, TX, March 1995.
  86. Goddard, J. S., Jatko, W. B., Gleason, S. S., and Ferrell, R. K., “Robust Pose Deter­mination for Autonomous Docking,” Proc. of the ANS 6th Topical Meeting on Robotics and Remote Systems, Vol. 2, pp. 767-774, February 1995.
  87. Jatko, W. B., Goddard, J. S., Gleason, S. S., and Ferrell, R. K., “Docking Automa­tion Related Technology Phase II Report,” ORNL/TM, 1995.
  88. Gleason, S. S., Hunt, M. A., and Dress, W. B., “Automatic Classification of Extracted Semiconductor Feature Data,” ORNL/TM-12676, April 1994.
  89. Gleason, S. S. and Weil, B. S., “Feasibility Study for Vision-Based Ammunition Identification,” ORNL/CF-94/3, December 1993.
  90. Gleason, S. S., “Imaging Sensor Survey: The Current State of the Technology,” ORNL/M-1967, July 1992.
  91. Gleason, S. S., “The Development and Implementation of a Machine Vision System for Measuring Perforation Registration of Postage Stamps,” Thesis for the Master of Science Degree in Electrical Engineering, University of Tennes­see, Knoxville, 1992.
  92. Gleason, S. S., Hunt, M.A., and Jatko, W. B., “Subpixel Measurement of Image Features Based on Paraboloid Surface Fit,” SPIE vol. 1386, 1990.

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