Nick Pepper

According to our database, Nick Pepper authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework.

Ben Carvell, Marc Thomas, Andrew Pace, Christopher Dorney, George De Ath, Richard M. Everson, Nick Pepper, Adam Keane, Samuel Tomlinson, Richard Cannon

CoRR, January, 2026

Conditioning Aircraft Trajectory Prediction on Meteorological Data with a Physics-Informed Machine Learning Approach.

Amy Hodgkin, Nick Pepper, Marc Thomas

CoRR, January, 2026

A framework for assuring the accuracy and fidelity of an AI-enabled Digital Twin of en route UK airspace.

Adam Keane, Nick Pepper, Chris Burr, Amy Hodgkin, Dewi Sid William Gould, John Korna, Marc Thomas

CoRR, January, 2026

A Probabilistic Digital Twin of UK En Route Airspace for Training and Evaluating AI Agents for Air Traffic Control.

Nick Pepper, Adam Keane, Amy Hodgkin, Dewi Sid William Gould, Edward Henderson, Lynge Lauritsen, Christos Vlahos, George De Ath, Richard Everson, Richard Cannon, Alvaro Sierra Castro, John Korna, Ben Carvell, Marc Thomas

CoRR, January, 2026

Fast Surrogate Models for Adaptive Aircraft Trajectory Prediction in En route Airspace.

Nick Pepper, Marc Thomas, Zack Xuereb Conti

CoRR, January, 2026

2025

AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models.

Dewi Sid William Gould, George De Ath, Ben Carvell, Nick Pepper

CoRR, August, 2025

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity.

Edward Henderson, Dewi Gould, Richard M. Everson, George De Ath, Nick Pepper

CoRR, July, 2025

Probabilistic Simulation of Aircraft Descent via a Hybrid Physics-Data Approach.

Amy Hodgkin, Nick Pepper, Marc Thomas

CoRR, April, 2025

Geometric Principles for Machine Learning of Dynamical Systems.

Zack Xuereb Conti, David James Wagg, Nick Pepper

CoRR, February, 2025

2024

Learning Generative Models for Climbing Aircraft from Radar Data.

Nick Pepper, Marc Thomas

J. Aerosp. Inf. Syst., 2024

SeAr PC: Sensitivity Enhanced Arbitrary Polynomial Chaos.

Nick Pepper, Francesco Montomoli, Kyriakos Kantarakias

CoRR, 2024

2023

Context-Aware Generative Models for Prediction of Aircraft Ground Tracks.

Nick Pepper, George De Ath, Marc Thomas, Richard M. Everson, Tim J. Dodwell

CoRR, 2023

Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling.

Joel Ho, Nick Pepper, Tim J. Dodwell

CoRR, 2023

2022

Adaptive learning for reliability analysis using Support Vector Machines.

Nick Pepper, Luis G. Crespo, Francesco Montomoli

Reliab. Eng. Syst. Saf., 2022

A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators.

Nick Pepper, Marc Thomas, George De Ath, Enrico Oliver, Richard Cannon, Richard M. Everson, Tim J. Dodwell

CoRR, 2022