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Deborah E. Goshorn
Research Assistant Professor, Project Coordinator/Manager, Systems Engineer
Center for Cyber Warfare
& Chief Engineer of Distributed GIG Intelligence Automation Systems (DGIAS) Lab for Military & Homeland Security
Mail Code: EC/Go
Department of Electrical and Computer Engineering
Graduate School of Engineering and Applied Sciences
Monterey, CA 93943
Phone: 831-656-3298
Email: degoshor (at) nps.edu
NPS Students: come see me for MS thesis topics in the Center for Cyber Warfare!
EDUCATION:
PhD* - University of California, San Diego, Spring 2010
Computer Science (Intelligence Automation Systems)
* Also in Mathematics PhD Program at UCSD, completed PhD Qualifying Exams in Statistics, Applied Algebra, and Complex Analysis, 2006-2007
MSISE - SANS Technology Institute, In Process
Information Security Engineering (Topic Areas Include: Network Forensics, Top 20 Security Controls, Network Security, Securing Sensor Networks, etc.)
MS - University of California, San Diego, Fall 2007
Statistics
MENG - University of California, San Diego, Spring 2006
Electrical and Computer Engineering (Digital Signal Processing and Communications Theory)
B.S. - University of California, San Diego, Spring 2004
Computer Engineering
B.A. - University of California, San Diego, Spring 2004
Applied Mathematics
NPS EXPERIENCE:
  • Spring 2011 - Present, Research Assistant Professor, Project Coordinator/Manager, Systems Engineer, CCW Student Theses Coordination, for Center for Cyber Warfare, Electrical and Computer Engineering Department
  • Summer 2011, Principal Investigator, Office of Naval Research, Code 30, ISR Thrust Division Basic Research Peer Review Panel Coordinator/Host at the Naval Postgraduate School
  • Winter 2010 - Spring 2011, Lead Technical Systems Engineer for Wide field of view Focal Plane Array Camera (WFPAC) Persistent ISR System of Systems (One of SECDEF's Top 3 Priorities for FY11), Joint between PM UAS, NAVAIR, ONR, MARCORSYSCOM)
  • Cyber training through SANS Institute (ongoing courses in cybersecurity for a potential MS. Topic areas include: network forensics, top 20 security controls, network security, etc.)
  • Fall 2010 - Present, Chief Engineer of Distributed GIG Intelligence Automation Systems (DGIAS) for Military and Homeland Security Laboratory, Electrical and Computer Engineering Department. Application areas: Cyber Systems of Systems Operations/Warfare, Cyber Systems of Systems Security, Cyber System of Systems Anomaly Prediction, Persistent ISR, Unmanned Systems, Human Computer Interaction
  • Spring 2010 - Spring 2011, Research Assistant Professor, Information Sciences Department
  • Fall 2008 - Spring 2010, Research Associate, Modeling, Virtual Environments and Simulations (MOVES) Institute
OTHER EXPERIENCE:
  • Summer 2004 - Fall 2008, Computer Scientist, Space and Naval Warfare (SPAWAR) Systems Center San Diego (SSC SD), California
  • Winter 2009 - Spring 2010 Adjunct Faculty for Math and Computer Science Departments, Monterey Peninsula College
  • Fall 2007 - Winter 2008 Teacher Assistant for Mathematics and Computer Science Departments, University of California, San Diego
RESEARCH INTERESTS:
  • Cyber System of Systems Security
  • Cyber System of Systems Operations/Warfare
  • Cyber System of Systems Anomaly Prediction
  • Persistent Intelligence Surveillance Reconnaissance (ISR) Systems of Systems
  • Unmanned Systems (Intelligence Automation and Cyber Applications)
  • Network Forensics
  • Statistical Analysis for Cyber Applications
  • Human Computer Interaction with Intelligence Automation Systems
  • Intelligence Automation (IA) Systems Engineering (Artificial Intelligence (AI) behavior modeling and implementation for detection, identification, classification, prediction and prevention in distributed AI systems)
  • Intelligent sensors and network systems, Smart Robots, applied to the GWOT and Homeland Security Operations
  • Network-Centric System of Systems, Enterprise systems/services, connecting four-approaches
  • Automation through four overlapping approaches: Need of Intelligence Automation, Intelligence and GIG Node Standardization for Interoperability, Network-Centric System of Systems Infrastructures, Need for New/Advanced Sensors
  • Systems Engineering
  • Rapid Prototyping for Transitioning
  • Probability and Statistics, Mathematics
  • Computer Vision
  • Statistical Signal Processing
  • 4G Technologies at Low Earth Orbit Satellite Constellations
  • Computer Science, Machine Learning
TEACHING:
  • SE4900 Network-Centric Systems Engineering for Persistent ISR System of Systems within a Rapid Prototyping Framework- Part II (Developed and Taught)
  • SE4900 Network-Centric Systems Engineering For Persistent ISR System of Systems Within a Rapid Prototyping Framework (Developed and Taught)
  • SE4900 Network-Centric Systems Engineering for Persistent ISR Rapid Prototyping (Developed and Taught)
  • SE4900 Systems Engineering of Network-Centric Systems for Persistent Surveillance (Developed and Taught)
  • SE3100 Fundamentals of Systems Engineering (Co-Instructor, Developed and Taught Supplemental/Weekly Statistics Lectures)
  • SE3250 (Capabilities Engineering, Distance Learning, Co-Instructor, Developed and Taught Supplemental/Weekly Statistics Lectures through Elluminate Live!)
AWARDS:
  • DoD Science, Mathematics And Research for Transformation (SMART) Scholarship Recipient (for PhD) 2006 - 2010
  • DoD Science, Mathematics And Research for Transformation (SMART) Scholarship Recipient (for Masters) 2005
  • Tau Beta Pi Engineering Honor Society Member since 2002
  • Invitation for Visiting Researcher at Stanford University, Electrical Engineering (Wireless Sensor Network Lab, Environment Discovery/Behavior Analysis), Summer 2007
MS THESIS ADVISING:
  • LT Tim Craft, MSSE 580 Network-Centric Systems Engineering Track, (Graduating Winter 2011), Thesis Title: ARCHITECTING A MULTI-AGENT BEHAVIOR ANALYSIS AND DECISION SYSTEM WITH SWARM INTELLIGENCE THROUGH NETWORK-CENTRIC SYSTEMS EN GINEERING. Fall 2012
  • LT Matthew Green, MSEE 590, MULTI-INT FUSION WITHIN THE INFRASTRUCTURE OF CLOUD COMPUTING. Summer 2012.
  • LT Birute Jurjonas, MSEE 590, Net-Centric Intelligence Automation Systems of Systesm for Cyber Prediction. Winter 2012.
  • MAJ Randy Staab, MSEE 590, Multi-INT Data Collection through Low Latency Cross Communicating Modular LEO Satellites for Improved Intelligence Collection and Satellite Systems Acquisition, METADATA STANDARDS FOR MULTI-INT FUSION IN DISTRIBUTED ISR SYSTEMS. Winter 2011.
  • LCDR Trevor A. Day, MSEE 590, METADATA STANDARDS FOR MULTI-INT FUSION IN DISTRIBUTED ISR SYSTEMS. Winter 2011.
  • LT Evan Williams, MSSE 580, Systems Engineering Applied Towards Upgrades to Existing Network-Centric System of Systems. Spring 2011.
  • CDR Cledo (Clay) Davis, MSSE 580, The Systems Engineering in Enhancing Maritime Domain Awareness Utilizing a Maritime Smart Sensor Network, JUNE 2010
  • LT Phillip Stubblefield, MSSE 580, The Utilization of an Autonomous Mustering and Pier Monitoring System will enhance Situational Awareness and Pier Security for the USS FREEDOM (LCS) class of ships, MARCH2010
  • LCDR David Schaeffer, MSSE 580, Systems Engineering - A Systems Engineering Survey of Artificial Intelligence and Smart Sensor Networks in a Network-Centric Systems Environment, JUNE2009
PUBLICATIONS:
  • Goshorn, Rachel E., Deborah E. Goshorn, Joshua L. Goshorn, Lawrence A. Goshorn. The Need for Distributed Intelligence Automation Implemented through Four Overlapping Approaches: Intelligence Automation Software, Standardization for Interoperability, Network-Centric System of Systems Infrastructure (with Advanced Cloud Computing) and Advanced Sensors. GMU - AFCEA Symposium 2011. May 2011
  • Deborah Goshorn The Systems Engineering of a Secure Network-Centric Distributed Intelligent System of Systems for Robust Human Behavior Classifications Computer Science PhD Dissertation, UCSD. Spring 2010
  • Deborah Goshorn, Junguk Cho, Shahnam Mirzaei, Ryan Kastner. Field Programmable Gate Array (FPGA) Implementation of Parts-based Object Detection for Real Time Video Applications. 8th Annual International IEEE Symposium on Field-Programmable Custom Computing Machines. Charlotte North Carolina May 2010
  • Deborah Goshorn, Rachel Goshorn. Cybersecurity in a Network-Centric Smart-Environment System of Systems Naval Postgraduate School Cyber Summit October 29, 2009
  • Juan Wachs, Mathias Kolsch, Deborah Goshorn Human Posture Detection for Intelligent Vehicles Journal of real-time image processing - Special Issue on Real-Time Vision-Based Motion Analysis and Intelligent Transportation Systems, Springer 2009
  • Deborah Goshorn, Rachel Goshorn, Joshua Goshorn, Lawrence Goshorn. Abnormal Behavior Classification and Alerting through Detection, Identification, Prediction, and Reaction (DIPR) System Applied to a Multi-Camera Network. Workshop on Behavior Artificial Intelligence, Kaiserslautern, Germany. September 2009
  • Deborah Goshorn, Juan Wachs, Mathias Kolsch The Multi-level Learning and Classification of Multi-class Parts-based Representations of U.S. Marine Postures. Iberoamerican Congress on Pattern Recognition (CIARP2009) Mexico
  • Juan Wachs, Deborah Goshorn, Mathias Kolsch. Recognizing Human Postures and Poses in Monocular Still Images. International Conference on Image Processing, Computer Vision, and Signal Processing. (IPCV09) Las Vegas, Nevada. July 2009
  • Bridget Benson, Junguk Cho, Deborah Goshorn, Ryan Kastner. Field Programmable Gate Array (FPGA) Based Fish Detection Using Haar Classifiers. American Association of Underwater Sciences symposium. March 2009.
  • Deborah Goshorn, The Enhancement of Low-Level Classifications in Sequential Syntactic High-Level Classifiers Computer Science PhD Research Exam, UCSD. August 2008
  • Rachel E. Goshorn, Deborah E. Goshorn, Joshua L. Goshorn, Lawrence A. Goshorn Behavior Modeling for Detection, Identification, Prediction, and Reaction (DIPR) in AI Systems Solutions Book Chapter in Handbook of Ambient Intelligence and Smart Environments Springer Handbook. 2009 ISBN: 9780387938073 0387938079
  • Rachel Goshorn, Deborah Goshorn, Joshua Goshorn, Lawrence Goshorn Abnormal Behavior-Detection Using Sequential Syntactical Classification in a Network of Clustered Cameras. 2nd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-08) Stanford University, California. September 2008.
  • . Rachel Goshorn, Deborah Goshorn, Mathias Kolsch. The Enhancement of Low-Level Classifications for Ambient Assisted Living. 2nd Workshop on Behavior Monitoring and Interpretation, BMI-08, collocated with German Conference on Artificial Intelligence, Kaiserslautern, Germany. September 2008.
  • Rachel Goshorn, Deborah Goshorn, Vision-Based Syntactical Classification of Hand Gestures to Enable Robust Human Computer Interaction, 3rd Workshop on Artificial Intelligence Technologies for Ambient Intelligence (AITAmI-08), collocated with the 18th European Conference on Artificial Intelligence (ECAI-08) Patras, Greece. August 2008.
  • Deborah Goshorn Learning the Time-Delay Manifold for Robust Speaker Localization. International Conference on Applications in Nonlinear Dynamics (ICAND-07) Poipu Beach, Koloa (Kauai) (poster presentation) September 2007.
  • Evan Ettinger, Shankar Shivappa, Deborah Goshorn, Yoav Freund, Learning the Time-Delay Manifold for Robust Speaker Localization. Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007) & Technical Report, UCSD 2007
  • Rachel Goshorn, Joshua Goshorn, Deborah Goshorn, Hamid Aghajan, Architecture for Clusterbased Automated Surveillance Networks for Detecting and Tracking Multiple Persons, 1st ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-07) Vienna, Austria. September 2007.
  • Rachel Goshorn, Deborah Goshorn Using a TI C6701 DSP Rapid Prototyping System for Nonlinear Adaptive Filtering to Mitigate Interference. Device Applications of NonLinear Dynamics (DANOLD) Conference, Catania, Italy. 2-6 October 2005.
  • Deborah Goshorn, Mitigation of Narrowband Interference in UHF Satellite Communications using DSP Rapid Prototype. Naval-Industry RD Partnership Conference, Washington DC, August 2004.
KEYWORDS/TECHNOLOGIES:
  • Keywords: Cyber Systems Security, Cyber Systems Warfare, Rapid Prototyping, Persistent Intelligence Surveillance Reconnaissance (ISR), Distributed GIG Intelligence Automation Systems, Network-Centric Systems of Systems, Systems Engineering, Detect/Identify/Predict/React (DIPR) Intelligence Automation Systems, Behavior Prediction, Intelligence Standardization for Interoperability, Artificial Intelligence Systems, Distributed Systems, Intelligence Surveillance, Smart Robots, Network Forensics, Machine Learning, Statistics, Computer Vision, FPGAs, DSPs, GWOT, Homeland Security




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