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

Talk / Slides

Download the slides for this talk.Download ( PDF, 5050.97 MB)

Talk / Highlights


Machine Learning for Aviation Safety at NASA

With Nikunj OzaPublished March 11, 2020

AMLD / Global partners