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Department 70 Researchers

Department 70 Researchers Win Best in Session Award

In October, Department 70 researchers Timmy Sharp and Joseph Karch presented a research paper at the Digital Avionics Systems (DASC) 2023 Conference in Barcelona, Spain. The research was spearheaded by Debra Hogue as a part of her studies for her PhD program.

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Group picture of XG Team

76 SWEG’s Xanatos Gambit team takes the lead in Air Force High Profile Research Project

The 76th Software Engineering Group has a few highly specialized and advanced teams working on cutting edge technologies and advancements for the Air Force. One of those teams is Xanatos Gambit (XG), a team of 8 individuals who are making big splashes in the field of embedded development and hardware emulation.

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Grace Hopper Award

76 SWEG Wins Rear Admiral Grace M. Hopper Award for Software Maintenance Excellence

The 76th Software Engineering Group (76 SWEG) at Tinker Air Force Base, OK recently received the Rear Admiral Grace M. Hopper award for Software Maintenance Excellence.

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Gen Bunch at the 2021 Air Force Association Conference National Air, Space & Cyber Conference

Air Force Association

The 76th Software Engineering Group’s Extreme Digital Development Group Enterprise-OKC was invited by the Air Force Life Cycle Management Center’s Armament Directorate to help support Digital Innovation demonstrations and vision during the 2021 Air Force Association Conference National Air, Space & Cyber Conference.

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Department 70 Researchers Present at 2024 IEEE Radar Conference

On May 7 to 9th, Department 70 researchrs Alex Stringer, Timothy Sharp, and Geoffrey Dolinger presented a research paper at the 2024 IEEE Radar Conference in Denver, Colorado.

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Richardson highlights AFMS's integral role in next-gen bomber program during AFA keynote

Using the acquisition and fielding of the Air Force’s newest bomber as a backdrop, Gen. Duke Z. Richardson, Air Force Materiel Command Commander, emphasized the critical role the organization maintains in outpacing and deterring the People’s Republic of China in a high-profile address, Sept. 11 during the Air and Space Force Association’s Air, Space and Cyber Conference.

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Making the Change to Agile: How A-10 OFP Development Accomplished the Impossible

Supporting a 45-year-old airframe with legacy software written in several languages across decades of engineering efforts is difficult in and of itself. Changing the development lifecycle model to support modern software development business practices is impossible: almost. This paper explores how the A-10 Operational Flight Program (OFP) software development team studied, transitioned, and then embraced agile methods and the results that followed.

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Female Programmers Trending Up

The 309 th Software Engineering Group (SWEG) at Hill AFB is known for developing technological “firsts,” but the Augmented Reality, Virtual Reality Computing (ARVRC) Project inadvertently achieved a new first for the organization, being that the female members outnumbered the males.

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Behind the Lines: What does Robins' Software Engineering Group do?

Robins is using new off-base facilities to attract a younger generation of employees.

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Software engineers complete 100 sprints; continue racing

A team of Hill software engineers, working Personnel Recovery Command and Control, is producing computer code that helps the warfighter and they’re doing it at record speed, within a two-week window called a sprint.

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Robins Software Engineering Group partners with local schools for internship program

The 402nd Software Engineering Group has partnered with Houston and Bibb County high schools for a new internship program with the Warner Robins Air Logistics Complex at Robins Air Force Base, Georgia, through Project Synergy.

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Department 70 researchers present paper on Self-Explaining Machine Learning at Digital Avionics Systems Conference

Department 70 researchers Alex Stringer, Brian Sun and Jenniffier Bieberbach will present a paper at the Digital Avionics Systems Conference in October. The paper is focused on the realm of explainable Machine Learning, specifically for radar and command and control applications for Department of Defense aircraft.

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