Amelia Earhart Fellowship Presentation Zonta International District 10

Amelia Earhart Fellowship Presentation Zonta International District 10 Governor’s Summit Kirsten Elizabeth Tuggle

Summar y Personal Background Experience Current Research Future Plans Acknowledgements

Personal Background born and raised in Birmingham, AL parents Mark and Katrina, brother Daniel passion for exploration family road trips mathematics space

Experienc e Undergraduate Education: Auburn University B. S. in Applied Mathematics Bachelor of Aerospace Engineering Co-op at NASA Johnson Space

Experienc e Graduate Education: The University of Texas at Austin M. S. in Aerospace Engineering Ph. D. Candidate Advisors: Dr. Maruthi Akella

Current Research Guidance, Navigation and Control: equipping the vehicle with the intelligence necessary to perform the fundamental task of maneuvering from its (generally uncertain) state of existence to some desired state Navigation: the vital and complex task of estimating vehicle state components (e. g. position, velocity, attitude) My dissertation pursues veins of research differing in supposed application but subscribing to the use of information-theoretic tools.

Current Research space situational awareness and tracking of space objects accurate state estimation and uncertainty quantification for nonlinear systems and potentially thousands of objects A promising compromise is a Gaussian mixture filter and in particular one that can adapt the number of mixture components. information-theoretic scheme to judiciously increase the number of components (in a process called splitting)

Current Research

Current Research sensor scheduling for GN&C abundance of sensor systems emphasizing the need for effective and practical sensor management e. g. , a set of UAVs subject to constraints on power supplies and communication that searches for individuals/resources or monitors an environmental event generally an intractable problem

Current Research Information is an intuitive currency when discussing the ability of different sensor configurations to learn from the environment. Our research exploits underlying mathematical properties concerning the evolution of information in the LQG problem to provide a well motivated relaxed solution that has real- time potential.

Future Plan s in the intersection great interest between aerospace navigation and data science. “Now the question is not getting enough data but rather getting the right data. ” information geometry: a united framework for information theory and statistics/ estimation

Acknowledgement s With tremendous gratitude, I would like to thank: Zonta International Drs. Maruthi Akella and Renato Zanetti NASA Johnson Space Center, EG 6 numerous mentors and teachers