News & Events


Improving Aircraft Design with Machine Learning and a More Efficient Model of Turbulent Airflows


Turbulent airflows are chaotic and unpredictable: consider the bumps and jolts one might experience during an airplane flight encountering turbulent air. With increased knowledge of turbulent airflows, airplane designs could become safer, more resilient, and ultimately more fuel efficient.  H. Jane Bae, Assistant Professor of Aerospace, has developed a way to use machine learning to further improve the design process. [Caltech story]

Tags: research highlights GALCIT H. Jane Bae

Professor Bae Awarded Outstanding Referee by Physical Review


H. Jane Bae, Assistant Professor of Aerospace, has been awarded Outstanding Referee by the Physical Review. The Outstanding Referee program was instituted in 2008 to recognize scientists who have been exceptionally helpful in assessing manuscripts for publication in the American Physical Society (APS) journals. By means of the program, APS expresses its appreciation to all referees, whose efforts in peer review not only keep the standards of the journals at a high level, but in many cases also help authors to improve the quality and readability of their articles – even those that are not published by APS. [2022 Outstanding Referees]

Tags: honors GALCIT H. Jane Bae

CAST Awards Seed Funding to Three New Projects


Caltech Center for Autonomous Systems and Technologies (CAST) has awarded seed funding to three new collaborative projects. The first project was proposed by Aerospace postdoctoral scholar H. Jane Bae, along with Professors McKeon, Tropp, and Meiron. It aims to develop algorithms to predict the onset of extreme events in real time thus allowing autonomous air vehicles to avoid or compensate for the rough turbulent airflow. The second project was proposed by Professors Effros, and Murray and will focus a new approach to the analysis, design, and implementation of complex, networked systems with the goal of optimizing latency in information sharing. The third project was proposed by Professor Thompson and JPL colleagues I. Fenty, R. Castano, D. Limonadi, and G. Woodward. This project plans to take a step towards developing autonomous observing arrays that will use ocean robotics to deploy ice melt-rate instruments within ice shelf cavities.

Tags: GALCIT Beverley McKeon Michelle Effros Joel Tropp Andrew Thompson Richard Murray Dan Meiron postdocs H. Jane Bae I. Fenty R. Castano D. Limonadi G. Woodward