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Paul C. Hershey

First Name: 
Paul C.
Last Name: 
Hershey
Contact Information

Paul C. Hershey, Ph.D.
Raytheon Intelligence, Information, and Services

Presentation Title: Data Analytics Overview and Use Cases Tutorial

Topic / Key Words: 
Data Analytics / big data, data analysis, data fusion, data storage,  data sources, infrastructure and technology, screening and filtering algorithms, machine learning, and complexity

Abstract:
This tutorial provides an in depth review of the ever evolving technical area called “Data Analytics,” a subset of “Big Data,”  that encompasses data analysis, data fusion, data storage,  data sources, infrastructure and technology, screening and filtering algorithms, machine learning, and complexity.  

These techniques will be introduced with respect to their individual contribution to data analytics and to their combined contributions to data analytics systems.  Specific use cases will be presented in which participants will observe, both through presentation and videos, the individual and combined applications and value of these techniques and systems for specific commercial and Department of Defense (DoD) use cases.  Participants will emerge from this tutorial with a focused understanding of data analytics principles and techniques that will enable them to apply these concepts toward building engineering systems for mission decision support.  

Target audience: 
This tutorial is applicable to individuals interested in the analysis of data, especially data scientists.  Individuals who work in operations centers that are responsible for the processing, exploitation and dissemination of large amounts of data collected from a wide variety of sensors will also find this tutorial very useful.  Systems engineers focused on analysis of complex systems, mission support, and automated decision aides are also included in the target audience. 

Learning outcomes:
Participants will emerge from this tutorial with a focused understanding of data analytics principles and techniques that will enable them to apply these concepts toward building engineering systems for mission decision support.  

Prior events where this topic has been presented:
10 Annual IEEE International Conference, Orlando FL, April 18-21, 2016

Other speaking experience:


P. Hershey, B. Umberger, and R. Chang, “Adaptable Mission Analysis and Decision System,” Proc. of the 2015 IEEE International Systems of Systems Engineering Conf., San Antonio, TX, May 18, 2015.
P. Hershey, J. Dudash, M. Sica, E. Umberger, “MiData Application to Local/Regional/Global Joined Object Recognition (MAJOR),” Proc. of the 2015 IEEE Systems Conference, Vancouver, Canada, Apr. 16, 2015.
P. Hershey, J. Dudash, M. Sica, E. Umberger, “Mission Critical System for Lost Object Location in Diverse Geographical Regions,” Proc. of Royal Canadian Air Force Avionics and Systems Workshop, Ottawa, Canada, Dec. 2, 2014.
P. Hershey, R. Dehnert, “Framework for Integrated Kinetic/Non-kinetic Ballistic Missile Defense,” Proc. of MILCOM 2014, Baltimore, MD, Oct. 6-8, 2014.
P. Hershey and J. Chapa, “A Stochastic Model for Estimating Ballistic Missile Negation via Left of Launch Techniques,” Proc. 82nd MORS (Military Operations Research Society) Symposium, Alexandria, VA, June 17, 2014. 
P. Hershey and D. Wisniewski, “Probabilistic Multi-source Multi-INT Intel Fusion Benefit Analysis,” Proc. SPIE Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, May 5, Baltimore, MD, 2014.
P.  Hershey, S. Rao, C. Silio, and A. Narayan, “Cloud-Based Mission Observation, Response, Exploitation (CMORE) System, Proc. of the 2014 IEEE Systems Conference, Ottawa, Canada, Apr. 2, 2014.
P. Hershey, D. Clark, D. Wisniewski, “System Architecture for Dynamic Mission Services Orchestrator (DMSO),” Proc. of the 2014 IEEE Systems Conference, Ottawa, Canada, Apr. 2, 2014.
P. Hershey, D. Clark, D. Wisniewski, “System Architecture for Dynamic Mission Services Orchestrator (DMSO),” Proc. of Royal Canadian Air Force Avionics and Systems Workshop, Ottawa, Canada, Dec. 2013.
P. Hershey, D. Wisniewski, T. Deardorff, and J. Williams, “Process of Probabilistic Multi-Source Multi-INT Fusion Benefit Analysis,” Proc. of Royal Canadian Air Force Avionics and Systems Workshop, Ottawa, Canada, Dec. 2013.
P. Hershey, M. Wang, and S. Davidson, “Real-time Communications Resource Allocation Process, Architecture, and Algorithm,” Proc. of MILCOM 2013, San Diego, CA, Nov. 19, 2013.
P. Hershey, M. Hirsch, and K. Maxwell, “End-to-End Applications and Algorithm Integration (E2A2I) Method and Architecture,” Proc. of MILCOM 2013, San Diego, CA, Nov. 19, 2013.
P. Hershey, M. Wang, and D. Toppin, “System of Systems for Autonomous Mission Decisions,” Proc. of the 2013 IEEE International Systems of Systems Engineering Conf., Maui, HW, Jun. 5, 2013.
P. Hershey and M Wang, “Composable, Distributed System to Derive Actionable Mission Information from Intelligence, Surveillance, and Reconnaissance (ISR) Data,” Proc. of the 2013 IEEE Systems Conference, Orlando, FL, April 17, 2013.
P. Hershey, “Automated Data Reduction Method for Intelligence, Surveillance, and Reconnaissance Systems,” Proc. of Royal Canadian Air Force Avionics and Systems Workshop, Dec. 2012.


Geographical preferences/constraints (Please note countries/regions where you would be willing to travel)
USA
Canada
Europe (UK, Norway, Germany, Austria, Switzerland, Sweden, Norway)

 

Paul C. Hershey received the A.B. degree in mathematics from the College of William and Mary, Williamsburg, VA, USA, and the Ph.D. and M.S. degrees in electrical engineering from the University of Maryland, College Park, MD, USA. His Ph.D. research, sponsored by IBM, created a near-real-time information collection, analysis, and decision system that resulted in direct customer sales.
Dr. Hershey’s 35 years of electrical engineering research and development experience encompasses work with technology producers, service providers, government contractors, start-up companies, and universities, thereby equipping him with a rich background from which he has derived, assessed, and realized innovative engineering solutions.

He is currently a Senior Engineering Fellow (with honors) at Raytheon Intelligence, Information and Services, Dulles, VA, where his work focuses on missile defense, data analytics, autonomous systems, cloud computing, and cyber security. He has published 30 patents (issued), 11 patents (filed), and 49 peer-reviewed technical papers. Dr. Hershey is an Adjunct Professor with George Washington University, Washington, DC, where he also serves on the Curriculum Advisory Board. He is an IEEE Senior Member and serves on the technical program committees for the IEEE International Systems Conference (also on the conference steering committee), the IEEE International Systems of Systems Engineering Conference (also an industrial liaison), and the IEEE Military Communications Conference (MILCOM).

Professional Experience Highlights:
Dr. Hershey is Chief Engineer for the Coordinated Cyber / Electronic Warfare (CCEWIF) program where he derives new methods for integrating kinetic and non-kinetic missile defense effects. A novel contribution to this effort is Dr. Hershey’s patented Stochastic Math Model that assesses the probability of success and associated confidence for these integrated effects across the missile life cycle.

He also leads multiple internal Research and Development (IR&D) efforts focused on improving the mission effectiveness for Intelligence, Surveillance, and Reconnaissance (ISR) systems through the innovative use of autonomy for intelligent data reduction and mission capacity improvement. In 2015, he served as Principle Investigator for the Distributed Common Ground System Analytics (DCGS) IR&D program that developed and demonstrated a prototype System of Systems that integrates multi-intelligence analytics tools for the purpose of increasing operational efficiency and effectiveness for Air Force DCGS operators. Also in 2015, Dr. Hershey won the Raytheon Corporation Identify-Develop-Expose-Action (IDEA) award for his work on applying sensors and analytics for rapid screening of massive collections of sensor images from multiple, diverse databases in order to locate lost objects in arbitrary geographic locations. In 2011, he won the equally prestigious Raytheon Corporate Innovation Challenge (RIC) Award for this work on multi-factor information distributed analytics.
Previously, Dr. Hershey was Raytheon’s Chief Engineer of the Global Hawk Ground Segment where he provided technical vision, strategy, and architectural and systems solutions for this system of systems while ensuring consistency across multiple, diverse Global Hawk development efforts with respect to requirements, risks, product migration, and sustainment. He also spent time in the field participating in actual Global Hawk missions working with Raytheon Field Service Representatives.
Also at Raytheon, he led system engineering projects for the Defense Information Systems Agency (DISA) to derive end-to-end enterprise monitoring and management solutions for DoD enterprise systems, including the GIG and DISN. He and his team designed DoDAF-based architectures, conducted extensive market research, identified capabilities, and derived guidelines. Dr. Hershey was awarded a company outstanding technical achievement award for the resulting series of 18 reports.
From 2000 to 2004, Dr. Hershey served as VP Engineering for international start-up Hyperchip, Inc., in Montreal, Canada, and Dulles, VA. His primary responsibility was to ensure product delivery of a highly scalable core IP routing system. From 1996 to 2000, Dr. Hershey directed product development for the Network Enhancement Technology Services division of Tellabs that generated over $200M annual revenue.

Position: 
Distinguished Lecturer