Rosa Filgueira

DR

  • Chancellor's Fellow - AI & Datascience, EPCC

Accepting PhD Students

Personal profile

Biography

I am a Chancellor Fellow at the EPCC, University of Edinburgh, specializing in developing intelligent adaptive systems for data-intensive computing. Previously, I served as a Lecturer at the University of St Andrews, leading the Systems Research Group.

My work focuses on abstracting application specifics from execution, enabling domain experts to leverage complex computational tools without deep knowledge of underlying platforms. This facilitates the seamless transfer of applications across different computing environments without loss of functionality, enhancing the discoverability, accessibility, and reusability of software components. Currently, I am advancing tools for semantic repository insights and innovative components and workflows exploration using NLP to improve the reusability and understandability of scientific software development. In parallel, I am also working on advancing text mining, NLP, HPC, and deep learning techniques in the context of Digital Humanities and ‘smart’ data-driven methodologies to extract insights from historical texts, analyze cultural events data, and enhance democratic governance. 

External positions

Honorary Lecturer, University of St Andrews

1 May 2024 → …

Keywords

  • Q Science (General)

Fingerprint

Dive into the research topics where Rosa Filgueira 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
  • Laminar 2.0: Serverless Stream Processing with Enhanced Code Search and Recommendations

    Rotchford, D., Evans, S. & Filgueira, R., Nov 2024, p. 1. 8 p.

    Research output: Contribution to conferencePaperpeer-review

    File
  • Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows

    Ferreira Da Silva , R., Bard, D., Chard, K., Witt, S. D., Foster, I. T., Goble, C., Godoy, W., Gustafsson, J., Haus, U.-U., Hudson, S., Los, L., Paine, D., Suter, F., Ward, L., Wilkinson, S., Amaris, M., Babuji, Y., Bader, J., Balin, R. & Balouek, D. & 88 others, Beecroft, S., Belhajjame, K., Bhattarai, R., Brewer, W., Brunk, P., Caino-Lores, S., Casanova, H., Cassol, D., Coleman, J., Coleman, T., Colonnelli, I., Silva, A. A. D., Oliveira, D. D., Elahi, P., Elfaramawy, N., Elwasif, W., Etz, B., Fahringer, T., Ferreira, W., Filgueira, R., Tande, J. F., Gadelha, L., Gallo, A., Garijo, D., Georgiou, Y., Gritsch, P., Grubel, P., Gueroudji, A., Guilloteau, Q., Hamalainen, C., Enriquez, R. H., Huet, L., Kesling, K. H., Iborra, P., Jahangiri, S., Janssen, J., Jordan, J., Kanwal, S., Kunstmann, L., Lehmann, F., Leser, U., Liu, P., Luettgau, J., Lupat, R., Fernandez, J. M., Maheshwari, K., Malik, T., Marquez, J., Matsuda, M., Medic, D., Mohammadi, S., Mulone, A., Navarro, J.-L., Ng, K. W., Noelp, K., Kinoshita, B. P., Prout, R., Crusoe, M. R., Ristov, S., Robila, S., Rosendo, D., Rowell, B., Rybicki, J., Sanchez, H., Saurabh, N., Saurav, S. K., Scogland, T., Senanayake, D., Sirvent, R., Shin, W., Skluzacek, T., Sly-Delgado, B., Soiland-Reyes, S., Souza, A., Souza, R., Talia, D., Tallent, N., Thamsen, L., Titov, M., Tovar, B., Vahi, K., Vardar-Irrgang, E., Vartina, E., Wang, Y., Wouters, M., Yu, Q., Bkhetan, Z. A. & Zulfiqar, M., 19 Oct 2024.

    Research output: Working paperPreprint

    Open Access
    File
  • Advancing frances: New Heritage Textual Ontology, Enhanced Knowledge Graphs, and Refined Search Capabilities

    Yu, L., Charlton, A., Terras, M. & Filgueira, R., 23 Sept 2024. 10 p.

    Research output: Contribution to conferencePaperpeer-review

    Open Access
  • Multi-Level AI-Driven Analysis of Software Repository Similarities

    Zhang, H., Zhang, L., Fang, L. & Filgueira, R., 23 Sept 2024. 10 p.

    Research output: Contribution to conferencePaperpeer-review

    Open Access
  • Parallel mutation testing for large scale systems

    Cañizares, P. C., Núñez, A., Filgueira, R. & de Lara, J., Apr 2024, In: Cluster Computing. 27, p. 2071–2097 27 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File