Nick Pepper - RankMe

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Probabilistic Digital Twin of UK En Route Airspace for Training and Evaluating AI Agents for Air Traffic Control. CoRR 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
2026	J	`jnl`	A framework for assuring the accuracy and fidelity of an AI-enabled Digital Twin of en route UK airspace. CoRR Adam Keane, Nick Pepper, Chris Burr, Amy Hodgkin, Dewi Sid William Gould, John Korna, Marc Thomas
2026	J	`jnl`	Conditioning Aircraft Trajectory Prediction on Meteorological Data with a Physics-Informed Machine Learning Approach. CoRR Amy Hodgkin, Nick Pepper, Marc Thomas
2026	J	`jnl`	Fast Surrogate Models for Adaptive Aircraft Trajectory Prediction in En route Airspace. CoRR Nick Pepper, Marc Thomas, Zack Xuereb Conti
2026	J	`jnl`	Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework. CoRR Ben Carvell, Marc Thomas, Andrew Pace, Christopher Dorney, George De Ath, Richard M. Everson, Nick Pepper, Adam Keane, Samuel Tomlinson, Richard Cannon
2025	J	`jnl`	Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity. CoRR Edward Henderson, Dewi Gould, Richard M. Everson, George De Ath, Nick Pepper
2025	J	`jnl`	AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models. CoRR Dewi Sid William Gould, George De Ath, Ben Carvell, Nick Pepper
2025	J	`jnl`	Geometric Principles for Machine Learning of Dynamical Systems. CoRR Zack Xuereb Conti, David James Wagg, Nick Pepper
2025	J	`jnl`	Probabilistic Simulation of Aircraft Descent via a Hybrid Physics-Data Approach. CoRR Amy Hodgkin, Nick Pepper, Marc Thomas
2024	J	`jnl`	Learning Generative Models for Climbing Aircraft from Radar Data. J. Aerosp. Inf. Syst. Nick Pepper, Marc Thomas
2024	J	`jnl`	SeAr PC: Sensitivity Enhanced Arbitrary Polynomial Chaos. CoRR Nick Pepper, Francesco Montomoli, Kyriakos Kantarakias
2023	J	`jnl`	Context-Aware Generative Models for Prediction of Aircraft Ground Tracks. CoRR Nick Pepper, George De Ath, Marc Thomas, Richard M. Everson, Tim J. Dodwell
2023	J	`jnl`	Learning Generative Models for Climbing Aircraft from Radar Data. CoRR Nick Pepper, Marc Thomas
2023	J	`jnl`	Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling. CoRR Joel Ho, Nick Pepper, Tim J. Dodwell
2022	J	`jnl`	A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators. CoRR Nick Pepper, Marc Thomas, George De Ath, Enrico Oliver, Richard Cannon, Richard M. Everson, Tim J. Dodwell
2022	J	`jnl`	Adaptive learning for reliability analysis using Support Vector Machines. Reliab. Eng. Syst. Saf. Nick Pepper, Luis G. Crespo, Francesco Montomoli