IEEE AESS & Systems Council: Hybrid Distinguished Lecturer - Dr. Paul Hershey (Raytheon) - Data Analytics Overview and Use Cases Tutorial
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 system s. 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.
All visitors will be required to enter SwRI through the main gate at the Culebra and Oak Hill intersection.
After entry, please proceed to SwRI Archives in Building 51. Location can be found using Google Maps
(C9VP+J4 San Antonio, Texas).
Date and Time
Location
Hosts
Registration
- Date: 21 May 2025
- Time: 05:00 PM UTC to 06:00 PM UTC
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- 6220 Culebra
- San Antonio, Texas
- United States 78238
- Building: Building 51
- Starts 06 May 2025 05:00 AM UTC
- Ends 14 May 2025 05:00 AM UTC
- No Admission Charge
Speakers
Dr. Paul Hershey
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.
Biography:
Paul C. Hershey is with Raytheon IIS, Dulles, Virginia, where he is a Principal Engineering Fellow focusing on data analytics, autonomous systems, cloud computing, and cyber security. He received a Ph.D. and M.S., both in electrical engineering, from the University of Maryland, College Park, and an A.B. in mathematics from the College of William and Mary. He has published 34 patents (issued) with 5 additional patents filed and pending, and over 50 peer-reviewed technical articles. Previously, he was an adjunct professor at George Washington University where he also served on the Curriculum Advisory Board. He is an active IEEE Senior Member and now serves on technical program committees for the IEEE International Systems Conference (also on the conference steering committee) and the IEEE International System of Systems Engineering Conference (also an industrial liaison). He is also a Distinguished Lecturer for IEEE Systems Council in the area of data analytics.