Research

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Active Research

Selected Works in Progress

“A Survey for Deep Reinforcement Learning Based Network Intrusion Detection”,
Lead by PhD student Wanrong Yang of the Distributed Algorithm CDT and with Yihang Zhou and Dominik Wojtczak; under review, arxiv link;
Keywords: Intrusion Detection, Deep Reinforcement Learning, Cyber-Security, Cyber-Physical Systems

“Decision making in cyber-physical environments”

“Comparison between multi-target tracking algorithms in high clutter environments with probabilistic data association techniques”

“Automatic literature review toolkit for evaluating societal and economical benefit”

titles of the works will change when submitted

Publications

Peer-Reviewed Publications

• “Defending the unknown: Exploring reinforcement learning agents’ deployment in realistic, unseen networks”
  with Simon Maskell and Jack D.
  Proceedings of Conference of Applied Machine Learning in Information Security (CAMLIS), Arlington, Virginia, USA, (2023);
  Suggested citation, Poster; Code Repo;
  Keywords: Network Security, Machine Learning, Network Simulations, Reinforcement Learning.

• “The BAHAMAS project: evaluating the accuracy of the halo model in predicting the non-linear matter power spectrum”
  with Ian G. McCarthy, Juliana Kwan, Jaime Salcido, Andreea Font and Sam Stafford.
  This paper is part of BAHAMAS ERC project. Published in MNRAS, 2021, suggested citation.
  Keywords: Dark Matter, Large-Scale Structure Cosmology, Baryonic Feedback, Analytical Models, Halo Model.

PhD Thesis

“Exploring the accuracy of analytic methods in predicting the evolution of large-scale structure”
Supervisor Ian G. McCarthy, 2022, LJMU