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Cyrus Neary PhD Candidate, Computational Science, Engineering, and Math, UT Austin RESCHEDULED TO: Friday, April 5 | 9:30 a.m. | AERO 111 Abstract: How can we transform artificial intelligence (AI) and machine learning capabilities into engineering

Vishala AryaPostdoctoral Scholar, NASA Jet Propulsion LaboratoryWednesday, Mar. 20 | 9:30 a.m. | AERO 111Abstract: Space missions have always been exciting with rapid innovations and developments to advance science and our engineering capability to

Paula do Vale Pereira Assistant Professor, Aerospace Engineering, Florida Institute of Technology Monday, Mar. 18 | 9:30 a.m. | AERO 111 Abstract: Exploring planets and moons in the outer solar system is key to understanding planetary habitability

Joshua Knobloch Senior Research Associate, JILA Monday, Mar. 11 | 9:30 a.m. | AERO 111 Abstract: The discovery, integration, and optimization of nano-enhanced functional materials is of paramount importance for space exploration, energy-

James Ferlez DARPA Innovation Fellow Monday, Mar. 4 | 9:30 a.m. | AERO 111 Abstract: The last decade has marked a fundamental paradigm shift in autonomous systems design: autonomous systems can now be designed by allowing machines to learn for

Richard Linares Associate Professor, Department of Aeronautics and Astronautics, MIT Friday, Mar. 8 | 10:40 a.m. | AERO 120 Abstract: The rapid growth of active satellites in Low Earth Orbit (LEO) poses challenges to safe and responsible space

Yutian Pang Machine Learning Research Engineer, Thales Wednesday, Mar. 6 | 9:30 a.m. | AERO 111 Abstract: National Airspace Systems (NAS) are cyber-physical systems that require swift air traffic management (ATM) to ensure flight safety and

Daniel Polis Vice President of Engineering, Sierra Space Friday, Mar. 1 | 10:40 a.m. | AERO 120 Abstract: The James Webb Space Telescope (JWST) operates near absolute zero temperatures. The Dream Chaser® vehicle must survive Mach 25. To meet these

Christine Hartzell Associate Professor, Aerospace Engineering, University of Maryland Monday, Feb. 19 | 9:30 a.m. | AERO 114 Abstract: The interaction of charged particles with the local plasma environment is of interest in a variety of space

Tam Nguyen Technical Staff, MIT Lincoln Laboratory Wednesday, Feb. 21 | 9:30 a.m. | AERO 111 Abstract: Detection of faint space objects with limited a priori state knowledge can enable advanced capabilities across multiple domains, including space