Distinguished Speaker Jacqueline Le Moigne of NASA IST 10/29

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Distinguished Speaker Jacqueline Le Moigne of NASA IST 10/29

The University of Miami Frost Institute for Data Science and Computing (IDSC) and the College of Arts and Sciences are pleased to present Jacqueline Le Moigne, Manager NASA Earth Science Technology Office (ETSO) Advanced Modeling Technology (AMT) Program for a guest distinguished lecture, in person only, on Tuesday, October 29, 2024.

TALK TITLE:  “NASA Intelligent Systems Technology Programs for Earth Science”

Jacqueline Le MoigneTechnology innovation, Earth observation missions, and the data from those missions serve as the foundation for growing scientific understanding of the Earth’s systems, improve predictive capabilities, and deliver actionable science and applications to inform decisions. Within that end-to-end framework, the Intelligent Systems Technology (IST) Programs focus on identifying, developing, and supporting adoption of software and information systems, as well as novel computer science technologies expected to be needed by the Earth Science Division in the 5-10-year timeframe. With its 2 Programs – the Advanced Information Systems Technology (AIST) Program and the newly formed Advanced Modeling Technology (AMT) Program – IST focuses on technologies that enable: unique Earth science observation capabilities through distributed sensing; optimization of science missions value through flexible information integration; agile science investigations through advanced algorithmic, computational and visualization tools; and integrated Earth Science frameworks including inter-connected models, timely and relevant observations and AI tools that enable near- and long-term policy and science decisions by delivering actionable science and information. For all these capabilities, many technologies are essential, e.g., autonomy, novel software system engineering, data analytics, data fusion, super-resolution, artificial intelligence/machine learning, surrogate models and emulators, digital twins, blockchains, advanced computing visualization and high-performance computational techniques. This talk will describe various IST projects developing these capabilities and technologies.

This lecture is free and open to the public. No registration required.

Tuesday, 10/29/2024 — 11:00 AM -12:00 PM ET • MAP | DIRECTIONS

Ashe Administration Building, Room 140, 1252 Memorial Drive, Coral Gables, FL 33146

 

About Jacqueline Le Moigne

Jacqueline Le Moigne is leading the two Intelligent Systems Technology (IST) Programs in NASA’s Earth Science Technology Office (ESTO) where she is also Manager of the Advanced Modeling Technology (AMT) Program.

Prior to managing IST, Jacqueline was the Assistant Chief for Technology in the Software Division at NASA Goddard. She was also involved with the Space Technology Mission Directorate (STMD) Space Technology Research Grants Program and with the development of NASA Space Technology Roadmaps. Before joining NASA, she was a Research Scientist with the Computer Vision Laboratory of the University of Maryland. She  has also worked in the private sector.

Jacqueline received a Ph.D. in Computer Science from the University Pierre and Marie Curie (now known as Sorbonne Université) Paris, France. Her research interests include Image Registration, Computer Vision, Artificial Intelligence, Autonomous Systems, Distributed Spacecraft Missions (DSM), and Earth System Digital Twins (ESDT), as well as high-performance and onboard computing.

Jacqueline has over 180 publications including more than 30 journal papers and book chapters. She authored an edited book and earned three Patents, all in the area of Image Registration. She has been an Accreditation Board for Engineering and Technology Program Evaluator, a member of the Advisory Panel of the NATO Committee on Science for Peace and Security, an Associate Editor for the IEEE Transactions on Geoscience and Remote Sensing, and a Goddard Senior Fellow. She has also been the recipient of a NASA Exceptional Service Medal as well as of the Goddard Information Science and Technology Award.

 

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