If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

  • Machine Learning Operations (Governance, Pipelines, Monitoring & Deployment)
  • Anomaly and Normality Detection
  • Data Engineering (Distribution shift and skew)
  • Applied Machine Learning
  • 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):

  • SDG 6 - Clean Water and Sanitation
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action

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


Dive into the research topics where Andy Barnes is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

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