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Edgar Magallanes STAR Award
The Society of Hispanic Professional Engineers (SHPE) Technical Achievement and Recognition (STAR) Awards recognize those in STEM who change lives through community outreach, work, and research. STAR Awards celebrate outstanding professionals, companies, and government agencies for their dedication, commitment, and selfless efforts to advancing Hispanics in STEM careers.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.