Avionics Systems: Considering Artificial Intelligence Techniques Where Safety Is Critical
| October 8, 2022 | Posted by Osman Ceylan under |
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https://events.vtools.ieee.org/m/324647
Abstract:
In the aviation context, AI doing things conventionally performed by humans could have applied to even older dynamics-based implementations of an autopilot but now more implies judgement reserved in past to human pilot, and clearly applies to unmanned aircraft systems (UAS). The description of Artificial Intelligence (AI) has continually been evolving over past few decades in correlation with the advancement in technology itself. The ingress into numerous spheres of life has been aided by progress in some of the supporting technologies, namely, high-powered parallel
processing, big data analysis and cloud computing, deep learning algorithms. There is a real challenge to aviation safety certification to identify and verify all possible safety-critical conditions, particularly for critical avionics systems, including those providing communication and navigation.
Also included, perspectives and progress for Women in Engineering (WIE) in this and related technical fields.
Biography:
Kathleen A. Kramer is a Professor of Electrical Engineering at the University of San Diego. A Distinguished Lecturer for IEEE Aerospace & Electronic Systems Society, she maintains an active research agenda in the areas of multisensor data fusion, navigation, and cyber security in aerospace systems, and leads the AESS technical panel on Cyber Security. In addition to academic positions, she has also been a Member of Technical Staff at several companies, including ViaSat, Hewlett Packard, and Bell Communications Research. She is a leader in engineering accreditation
activities for IEEE with ABET and has contributed to several recent advances in the criteria, impacting university education in 41 countries. She received the B.S. degree in electrical engineering with a second major in physics from Loyola Marymount University, and the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology.