aknakos
Research

How people turn data into knowledge.

My research is in visual analytics: tools that help people explore data, keep track of what they found, and explain it. Lately with graphs and AI agents.

68 citations · h-index 5

Knowledge provenance

Recording and querying how analysts reach their insights. The subject of my PhD.

Graphs

Querying and visualising graph databases, from GraphPolaris to node-link layouts.

Dimensionality reduction

Layouts of high-dimensional data that respect what the user cares about.

AI agents

Language-model agents that help explore data, explain patterns and support scientists.

Publications

Selected, newest first.

  1. 2026
  2. 2026
  3. 2026
  4. 2025
    SeRViz: a visual analytics system for the analysis of sequential rules, applied to airport ground handling operations

    Journal of Visualization

  5. 2025
  6. 2024
  7. 2024
  8. 2023
    Artificial Intelligence Agents for Materials Sciences

    Journal of Chemical Information and Modeling

  9. 2022
  10. 2022
  11. 2022
  12. 2021
  13. 2016

Theses

PhD · Dalhousie University · 2024

Modeling, Structuring, Storing, Querying and Appraising the Process of User Knowledge Generation in Visual Analytics

Final year as a guest researcher at TU/e Eindhoven
MSc · Universidade de São Paulo · 2016

Aceleração por GPU de serviços em sistemas robóticos focado no processamento de tempo real de nuvem de pontos 3D

GPU acceleration for robotics: real-time processing of 3D point clouds

Research collaboration, a talk, or applying this to your data?

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