TRANSCEND

Creating a framework for practitioners to ensure that learning-enabled, autonomous, safety assurance systems are trusted, believed, and relied upon.

TRANSCEND (Trustworthy Resilient Autonomous ageNts for Safe City transportation in the Evolving New Decade) is a multidisciplinary and multi-institution team of academics and industry practitioners working together to develop, evaluate, and package into a toolkit, methods, tools, and evidence-based guidelines for ensuring that learning-enabled autonomous systems being used to assure safety in the Advanced Air Mobility (AAM) domain are:

• Trustworthy: ensuring system outputs are accurate, robust, reliable
• Believed: ensuring operators appropriately believe what the system is indicating
• Relied Upon: ensuring system outputs are useful, actionable, and timely

Our goal is to support effective in-time system wide safety assurance (ISSA) in effectively monitoring, assessing, and mitigating risks associated with AAM challenges.

Led by Florida  Tech's Computer Science and Aviation Human Factors researchers, with partners from Penn State, the University of Alabama, Stanford University, University of Florida, North Carolina Agricultural and Technological University, Collins Aerospace, ResilienX,  and Santa Fe College, this effort brings together Formal Methods, Human Factors, Machine Learning and LLMs, and Explainable AI, transcending typically siloed disciplines and creating a truly multidisciplinary approach, with these disciplines serving as core pillars of our approach.

Join Our Team

We welcome applications from prospective postdoctoral scholars, graduate students and undergraduate research interns. Please contact any principal investigators for openings.