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Staff Profile

Dr Sheen Cabaneros

Lecturer in Air Pollution

  • Address: School of Engineering
    Stephenson Building (Room 4.13)
    Newcastle University
    Newcastle upon Tyne
    NE1 7RU
    UK
Background

I specialise in air pollution modelling using data-driven techniques, as well as the application of machine learning and computer vision in environmental processes and industrial settings. I gained my PhD from the University of Strathclyde, Glasgow in 2020 and previously served as a postdoctoral research associate and lecturer at the University of Hull.


Qualifications

  • PhD in Mechanical Engineering, "Spatiotemporal and temporal forecasting of ambient air pollution levels through data-intensive hybrid artificial neural network models", University of Strathclyde, Glasgow, 2020
  • MSc in Applied Mathematics, "On Option Pricing using Fourier Inversion Methods", Ateneo de Manila University, 2014
  • BSc in Mathematical Sciences, "Cancellation of Noise Artefacts by a Neural Network with Applications to Electrocardiogram (ECG) signals", University of Science and Technology of Southern Philippines, 2009


Prizes and Awards

  • Recipient - Environmental Modelling & Software 2021 Most Downloaded Paper Awards, 2021
  • Winner - ActInSpace Daresbury Hackathon 2018, European Space Agency Business Incubation Centre, 2018
  • Winner - Best Undergraduate Thesis - Mathematical Sciences, University of Science and Technology of Southern Philippines, 2009
Research

Research Interests

  • Air Pollution Modelling
  • Machine Learning
  • Urban Environments
  • Uncertainty Quantification


Research Funding

  • Co-investigator - Development of the First Global Standard for Airborne Microplastic Monitoring, NERC, NE/X010201/1; Value: £80,532 
  • Co-investigator - Agile Laser Processing in Industrial Environments, Luxinar Ltd.; Value: £40,000 
Teaching

Academic Year 2025/2026:

  • CEG 8112 Air Pollution [Module Leader]
  • CEG 8417 Stakeholder Engagement [Module Leader]
Publications

  • Articles

  • Conference Proceedings (inc. Abstracts)

    • Westcarr J, Gunturi VM, Cabaneros SM, Kureshi RR, Thakker D, Porter A. Devising a Responsible Framework for Air Quality Sensor Placement. In: IEEE International Conference on Omni-layer Intelligent Systems (COINS 2024). 2024, London: IEEE.
    • Cabaneros, SM, Calautit, JK, Hughes, B. Short- and long-term forecasting of ambient air pollution levels using wavelet-based non-linear autoregressive artificial neural networks with exogenous inputs. In: 27th International Conference on Modelling, Monitoring and Management of Air Pollution. 2020, International Journal of Environmental Impacts.
    • Cabaneros, SM, Calautit, JK, Hughes, B. Hybrid Artificial Neural Network Models for Effective Prediction and Mitigation of Urban Roadside NO2 Pollution. In: Energy Procedia. 2018.

  • Report

    • Hewitt, I, Cabaneros, SM, Danielli, F, Formetta, G, Gonzalez, R, Grinfield, M, Hankin, B, Johnstone, T, Kamilova, A, Kovacs, A, Kretzschmar, A, Kiradjiev, K, Pegler, S, Sander, G, Wong, C. JBA Trust Challenge: A Risk-based Analysis of Small Scale, Distributed,“Nature-based” Flood Risk Management Measures Deployed on River Networks. Turing Gateway to Mathematics, Cambridge, 2018. Report of Environmental Modelling in Industry Study Group, April 2017, of the UK EPSRC Living with Environmental Change Network “Maths Foresees”.

  • Reviews