Automated Pilot Performance Assessment

In a trend towards increasingly complex aircraft, tomorrow’s pilots must possess excellent situational awareness, problem solving, leadership and communication skills. Pilots trained for these competencies will be best equipped to handle unforeseen situations safely. In this project at Paladin AI, intern will focus on working with real flight simulator data that has been labeled by human experts. Intern will work with this data to develop new analytics techniques for inferring pilot competency. The intern will identify one or multiple markers of either good or poor pilot performance. The goal of this project is to deliver a usable proof-of-concept that can be ultimately be deployed to a production environment by Paladin AI devops team.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Paladin AI Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program: