Thomas Boggs Email & Phone Number
@leidos.com
5 phones found area 434, 540, 571, and 855
LinkedIn matched
Who is Thomas Boggs? Overview
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Thomas Boggs is listed as Chief AI Engineer, Leidos AI Accelerator at Leidos, a with 35622 employees, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a work email signal at leidos.com, phone signal with area code 434, 540, 571, 855, and a matched LinkedIn profile for Thomas Boggs.
Thomas Boggs previously worked as Senior Machine Learning Researcher at Leidos and Senior Machine Learning Researcher at Leidos. Thomas Boggs holds Doctor Of Philosophy - Phd, Computational Sciences & Informatics from George Mason University.
Email format at Leidos
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AeroLeads found 1 current-domain work email signal for Thomas Boggs. Compare company email patterns before reaching out.
About Thomas Boggs
My primary areas of expertise are AI/ML, multispectral/hyperspectral (MSI/HSI) image processing, software development, and modeling & simulation. As the Chief AI Engineer in the Leidos AI Accelerator, I lead multiple R&D projects within a group of 60+ talented AI/ML professionals. My AI/ML research experience covers a broad range of AI/ML domains (e.g., CNNs, Deep Reinforcement Learning, Graph Learning) and application domains (e.g., Remote Sensing, Multimedia Search & Discovery, Non-Intrusive Inspection (NII) for Border Security). In addition to R&D, much of my work focuses on MLOps and tools, processes, and practices to enable trustworthy AI/ML systems in operational environments.
Listed skills include Radar, Simulations, Python, System Design, and 22 others.
Thomas Boggs's current company
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Thomas Boggs work experience
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Senior Machine Learning Researcher
Chief Ai Engineer, Leidos Ai Accelerator
Technical Fellow and Solution Architect leading multiple AI/ML R&D portfolios and operationalizing AI/ML capabilities
Senior Machine Learning Researcher
My primary professional responsibilities are development, adaptation, and integration of Machine Learning capabilities in a large-scale data analytics platform, with an emphasis on Deep Learning for image processing.
Senior Systems Engineer
Developed an image processing workflow management software framework for processing commercial satellite multispectral imagery (MSI). Implemented framework components for imagery transfer/ingest, image archival (PostGIS), a rules-based system (Python, CLIPS) for image processing pipeline selection, and data product post-processing. Provided image processing and machine learning subject matter expertise for design/selection of algorithms for image processing pipelines. Implemented the framework on high-performance computing (HPC) systems.Geospatial Intelligence (GEOINT) Integrated Process Team (IPT) Lead for the Distributed Common Ground System.
Technical Director, Analysis & Simulation
Signatures and Modeling & Simulation subject matter expert.
Senior Scientist
See Symmetron (purchased by ManTech).
Senior Scientist
System Architect, Lead Developer, and Project Manager of Kill Chain, a large M&S framework (>500K SLOC of C/C++, Python, Soar AI) for simulating complex warfare scenarios including platforms, systems, weapons, sensors, signatures, environment, and command & control (C2). Designed and implemented core simulation architecture. Responsibilities included requirements development, system design, software implementation, and project management.Performed tecnical analyses of combat systems and capabilities. Developed system-level modeling requirements and measures of effectiveness. Generated and analyzed simulation data, authored analysis reports, and briefed Navy customers.Supported various aspects of business development. Performed feasibility studies, developed cost estimates, proposals, and SOWs. Briefed commercial, government, and Navy commands.
Senior Engineer
Developed software for an airborne wideband interferometric synthetic aperture radar (InSAR) including hardware control, graphical user interface (GUI), digital signal processing (DSP), and SAR image processing. Implemented radar control software in C++ to provide control interface to system hardware including inertial motion unit (IMU), frequency synthesizer, and custom radar components. Using VisualDSP++, developed software for embedded SHARC DSP hardware to perform data collection, signal processing, and to interface RAID controllers. Developed logic for Xilinx FPGAs to generate radar timing signals. Developed post-processing software to generate SAR and InSAR imagery from measurement data.Debugged prototype radar systems. Used oscilloscopes, frequency analyzers, and instrumented software to identify radar design flaws, software bugs, and hardware faults.Collected, processed, and analyzed airborne InSAR data.
Engineer
Performed radar cross section (RCS) modeling and analysis for naval systems using RCS modeling software (RTS, Xpatch, RGCALC) and developed associated custom software (Python, C++). Developed radar measurement simulation software (C++) to include the effects of environmental factors on RCS measurements.
Colleagues at Leidos
Other employees you can reach at leidos.com. View company contacts for 35622 employees →
Hayley Bartlett
Colleague at LeidosAldie, Virginia, United States
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David Neuendorf
Colleague at LeidosMexico, Missouri, United States
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Molly Peña
Colleague at LeidosHouston, Texas, United States
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Jose Becerra
Colleague at LeidosSpringfield, Virginia, United States
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Michael G.
Colleague at LeidosStafford, Virginia, United States
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Sanjay Kambham
Colleague at LeidosFairfax Station, Virginia, United States
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Christopher Simmons
Colleague at LeidosGreater Augusta Area, United States
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Richard Trowbridge
Colleague at LeidosGreater Bristol Area, United Kingdom
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John Smith
Colleague at LeidosAustralia
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Sharon Cross
Colleague at LeidosGreater Jackson Area, United States
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Thomas Boggs education
Doctor Of Philosophy - Phd, Computational Sciences & Informatics
Master Of Science - Ms, Applied Physics
Master Of Science - Ms, Civil Engineering
Bachelor Of Arts - Ba, Philosophy
Bachelor Of Science (Bs), Physics
Frequently asked questions about Thomas Boggs
Quick answers generated from the profile data available on this page.
What company does Thomas Boggs work for?
Thomas Boggs works for Leidos.
What is Thomas Boggs's role at Leidos?
Thomas Boggs is listed as Chief AI Engineer, Leidos AI Accelerator at Leidos.
What is Thomas Boggs's email address?
AeroLeads has found 1 work email signal at @leidos.com for Thomas Boggs at Leidos.
What is Thomas Boggs's phone number?
AeroLeads has found 5 phone signal(s) with area code 434, 540, 571, 855 for Thomas Boggs at Leidos.
Where is Thomas Boggs based?
Thomas Boggs is based in Washington Dc-Baltimore Area, United States while working with Leidos.
What companies has Thomas Boggs worked for?
Thomas Boggs has worked for Leidos, Scitor Corporation, Applied Systems Research, Inc., Mantech Is&T, and Gray Hawk Systems.
Who are Thomas Boggs's colleagues at Leidos?
Thomas Boggs's colleagues at Leidos include Hayley Bartlett, David Neuendorf, Molly Peña, Jose Becerra, and Michael G..
How can I contact Thomas Boggs?
You can use AeroLeads to view verified contact signals for Thomas Boggs at Leidos, including work email, phone, and LinkedIn data when available.
What schools did Thomas Boggs attend?
Thomas Boggs holds Doctor Of Philosophy - Phd, Computational Sciences & Informatics from George Mason University.
What skills is Thomas Boggs known for?
Thomas Boggs is listed with skills including Radar, Simulations, Python, System Design, Requirements Management, Systems Engineering, Integration, and System Architecture.
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