Dr. David White

Dr. David White, Chief Scientist – Commercial Training Solutions, L3Harris Technologies – Aviation Systems

David White has over 40 years’ experience in the aviation and simulation industries.

He has worked for British Aircraft Corporation (Warton), Royal Aircraft Establishment (Farnborough), Rediffusion Simulation and its various successors. He holds a Doctorate from Southampton University and in 2003 became a visiting professor at Cranfield University.

Dr. White has worked on various aspects of most new civil and military aircraft programs from Tornado through to the B787 and A350. For 17 years he was the Chief Scientist at Thales Training & Simulation, before transferring to take up the same role for Link UK in August 2012.

He subsequently consulted on the development and implementation of the L3 Strategy for Pilot Training and worked with NASA on the Integration and initial testing of a Synthetic Vision System (SVS) on the Boeing B787-8 full-flight simulator at the Miami Training Centre to support the Boeing/NASA SVS experiment with Avianca pilots.

Following this he has been responsible for the development and integration of a Synthetic Air Traffic Environment on Boeing B787-9 full-flight simulators to support evaluation and demonstration of the training required for pilots to safely operate in NextGen/SESAR environments.

In 2007 he was awarded the RAeS Silver Award accompanied by the Flight Simulation Silver Medal. In 2010 he was presented with the ARINC Edwin A. Link award by the FSEMC and in 2013 he presented the RAeS Edwin A. Link named lecture.


“I See No Ships” – Training Pilots for an Evolving NextGen/SESAR Environment

Instructors training and evaluating pilots in a Level-D full-flight simulator (FFS) today have an environment that mimics the exploits of Lord Nelson with his telescope. The pilots being trained seldom see or interact with the increasing density of other traffic that is actually out there in the real-world.

In an FFS today, pilot interactions with traffic are nearly always treated as events rather than the norm. If we wish to train and evaluate pilots for the environment that they will be operating in during the 2020s then we must evolve the FFS training to support this. The potential implications on both pilot workload and threat and error management during normal and non-normal operations are significant; if we do nothing then this could become the upset recovery issue for the next decade.

This presentation discusses the weaknesses today and the opportunities for tomorrow – concluding that it would be preferable to integrate the training and evaluation of pilots into the development life cycle of the NextGen/SESAR operating environment and aircraft systems in the 2020s instead of making it just adjunct to them.

The key to allowing all of this to operate in the real-world is System Wide Information Management (SWIM). The author has been developing and testing a Synthetic Active Replay Model (SWARM). This model would establish a methodology that could help link the development and operating life-cycle of various elements of the operating environment and aircraft systems; from air-ground communications, surveillance algorithms, display formats, data recording, training devices and ultimately pilot training and evaluation.

The ability to train and evaluate pilots to operate safely and efficiently in an evolving NextGen/SESAR environment in the FFS would provide a real opportunity to monitor and catch incidents in training before they become accidents in the real world.