Projects per year
Personal profile
Research interests
- AI for Extremes (Flooding, Rainfall, Drought etc.)
- Machine Learning Operations (Governance, Pipelines, Monitoring & Deployment)
- Anomaly and Normality Detection
- Data Engineering (Distribution shift and skew)
- Societal Issues (e.g Digital Divide)
Teaching interests
- Machine Learning
- Databases and Data Systems
- Operational Machine Learning
- Ethical, legistlative and societal factors in AI/technology.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Machine Learning, Doctor of Philosophy, Machine Learning methods for the analysis of precipitation patterns
Computer Science, Bachelor of Science, Genetic optimisations for satisfiability and Ramsey theory, University of Plymouth
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Developing rainfall frequency models for critical infrastructure design in a changing environment
Kjeldsen, T. (PI) & Barnes, A. (CoI)
1/08/24 → 31/07/26
Project: Central government, health and local authorities
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A Convolutional Neural Network for the Detection of Gravity Waves in Satellite Observations and Numerical Simulations
Okui , H., Wright, C., Berthelemy, P. G., Hindley, N. P., Hoffmann, L. & Barnes, A. P., 16 Jun 2025, In: Geophysical Research Letters. 52, 11, e2025GL115683.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (SciVal) -
Automated Classification of Vocalisations from Wild and Captive Seal Populations
Butler, W., Smith, H., Lloyd, W., Impraimakis, M., Barnes, A. & Hunter, A. J., 20 Jun 2025.Research output: Contribution to conference › Paper
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Beach monitoring: Do we need to survey to spring low tide?
Rose, S., Blenkinsopp, C., Barnes, A., Russell, W. & Thompson, C., 15 Mar 2026, In: Coastal Engineering. 205, 104911.Research output: Contribution to journal › Article › peer-review
Open Access -
CCTV Image-based classification of blocked trash screens
Cornelius Smith, R., Barnes, A. P., Wang , J., Dooley, S., Rowlatt, C. & Kjeldsen, T. R., 31 Mar 2025, In: Journal of Flood Risk Management. 18, 1, e13038.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal) -
High-flow forecasting with deep learning and dynamic multimodal feature fusion
Theodosiadou, D., Kjeldsen, T. & Barnes, A., 30 Apr 2025, (Acceptance date).Research output: Contribution to conference › Abstract › peer-review
Thesis
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Machine learning methods for the analysis of precipitation patterns: (Alternative Format Thesis)
Barnes, A. (Author), Kjeldsen, T. (Supervisor), Prosdocimi, I. (Supervisor) & McCullen, N. (Supervisor), 23 Mar 2022Student thesis: Doctoral Thesis › PhD
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Prizes
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Mary Tasker (Teaching Excellence)
Barnes, A. (Nominee), 2024
Prize: Prize (including medals and awards)
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Most Engaging Lecturer (Meme Supreme)
Barnes, A. (Recipient), 2024
Prize: Prize (including medals and awards)
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Royal Agricultural University
Barnes, A. (Visiting lecturer)
1 Feb 2024 → …Activity: Visiting an external academic institution › Visiting lecturer
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Radio Interview: AI on the river
Barnes, A. (Interviewee)
9 Oct 2024Activity: Media article or participation, blog › Media article or participation