Peter Zaal Senior Research Engineer, Human Systems Integration Division
Laurent Wilkens Machine Learning Intern
Applying deep learning models in automating the search for exoplanets using photometric data of the Transiting Exoplanet Survey Satellite (TESS).
Mission and Goals
Humans are arguably the most critical element in the safety, reliability, and performance of complex systems. Our highly adaptive problem-solving capabilities create resilient operations across aerospace applications, especially with the advent of increasingly intelligent software and hardware systems. Advances in machine learning, adaptive automation, advanced display technologies, and information accessibility create new challenges for human performance and new opportunities for human-automation teaming.
In aeronautics, humans are the backbone of a national aviation system that must handle growing consumer demands. In space, long-duration exploration missions will require revolutionary changes in the roles of the astronauts and mission controllers to support autonomous operations. For both aeronautics and space, the design of hardware and software systems must address the need for safe, efficient and cost-effective operations, both in-flight and on the ground.
The Human Systems Integration Division is creating and applying a new understanding of how individuals and teams assimilate and act on information in pursuit of goals critical to the success of NASA missions.
The Human Systems Integration Division enables the development of complex aerospace systems through analysis and modeling of human performance and human-automation interactions.
Ames Research Center Overview
NASA's Ames Research Center, one of ten NASA field centers, is located in the heart of California's Silicon Valley. Since 1939, Ames has led NASA in conducting world-class research and development in aeronautics, exploration technology and science aligned with the center's core capabilities.