Machine Learning for Aviation Safety at NASA

09:00-09:18, January 28

Talk/ Overview

In this talk, I will give an overview of NASA’s work applying machine learning to aviation safety. The machine learning problems include anomaly detection, precursor identification, and text mining. The types of data include Flight Operations Quality Assurance (FOQA) data, radar track (trajectory) data, surface data, and aviation safety reports. We will discuss several insights obtained on each of these types of data that were previously unknown.

Talk/ Speakers

Nikunj Oza

Leader, Data Sciences Group, NASA Ames Research Center

AMLD / Global partners