A.I. (Andreea) Sburlea, Dr

Assistant Professor in Human Centered Intelligence

Faculty of Science and Engineering

Telephone:

+31 50 36 36533

E-mail:

a.i.sburlea rug.nl

Homepage ORCID Research Portal

Publications

Diversity, Individualization, and Enhancement in Motor Learning: Current Challenges and Future Directions From the First Theoretical and Applied Advances in Motor Learning Conference

Chan, R. W., Abrahamse, E., Blischke, K., Bongers, R. M., Boutin, A., Hummel, F. C., Immink, M. A., Kornysheva, K., van der Lubbe, R. H. J., Maceira, P., Panzer, S., Ruitenberg, M. F. L., Sburlea, A. I., Seidler, R., Taylor, J. A., Wright, D. L. & Verwey, W. B., Jan-2026, In: Journal of Motor Learning and Development. 14, 1

Research output: Contribution to journal › Review article › peer-review

Riemannian Geometry-Preserving Variational Autoencoder for MI-BCI Data Augmentation

Polaka, V., de Jong, I. P. & Sburlea, A. I., 11-Mar-2026, (Submitted) arXiv, 6 p.

Research output: Working paper › Preprint › Academic

The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs

Mulder, M., Valdenegro-Toro, M., Sburlea, A. I. & de Jong, I. P., 4-Mar-2026, (Submitted) arXiv, 19 p.

Research output: Working paper › Preprint › Academic

Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review

de Jong, I. P., Sburlea, A. I. & Valdenegro-Toro, M., 1-Aug-2026, (E-pub ahead of print) In: Journal of Healthcare Informatics Research. 55 p.

Research output: Contribution to journal › Article › Academic › peer-review

Master classes of the tenth international brain-computer interface meeting: Showcasing the research of BCI trainees

Cernera, S., Gemicioglu, T., Berezutskaya, J., Csaky, R., Verwoert, M., Polyakov, D., Papadopoulos, S., Spagnolo, V., Astudillo, J. G., Kumar, S., Alawieh, H., Kelly, D., Keough, J. R. G., Minhas, A., Dold, M., Han, Y., McClanahan, A., Mustafa, M., Gonzalez-Espana, J. J. & Garro, F., Vujic, A., Kacker, K., Kapeller, C., Geukes, S., Verbaarschot, C., Wimmer, M., Sultana, M., Ahmadi, S., Herff, C., Sburlea, A. I., Jeunet, C., Thompson, D. E., Semprini, M., Andersen, R., Stavisky, S., Kinney-Lang, E., Lotte, F., Thielen, J., Chen, X., Peterson, V., Gunduz, A., Vaughan, T. & Valeriani, D., 28-Feb-2025, In: Journal of Neural Engineering. 22, 2, 33 p., 022001.

Research output: Contribution to journal › Review article › peer-review

NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty

Zotos, L., de Jong, I. P., Valdenegro-Toro, M., Sburlea, A. I., Nissim, M. & van Rijn, H., 17-Nov-2025, 2nd International Workshop on AI in Society, Education and Educational Research (AISEER). CEUR Workshop Proceedings, Vol. 4138. p. 29-39 11 p. (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning

Suurmeijer, J., De Jong, I. P., Valdenegro-Toro, M. & Sburlea, A. I., 2025, 35th IEEE International Workshop on Machine Learning for Signal Processing: Signal Processing in the Age of Lorge Language Models, MLSP 2025. IEEE Computer Society, 6 p. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review