Ricard Gavaldà
Professor, CS Department, Universitat Politècnica de Catalunya
I have been on academic leave from UPC since February 2020. The UPC email address will continue working. I will not be able to take any interns or PhD students in the foreseeable future.
I am currently supervising the PhD thesis of
- Martí Zamora, on foundation models trained to analyze longitudinal data.
I have supervised the PhD theses of
- Gilles Blondel (2023, co-supervised with Marta Arias), on inferring and reasoning about causality with causal graphs.
- Javier Fernández de la Rosa (2022, main supervisor: Luke Bornn). An industrial doctorate on sports analytics at FC Barcelona (Barça).
- Rafael Mena-Yedra (2020, co-supervised with Jordi Casas), an industrial doctorate on traffic prediction and management at Aimsun. Topic: Using Machine Learning to predict traffic in road and urban networks.
- Matteo Ruffini (2019), on learning latent-variable models and applications to healthcare data.
- Josep Ll. Berral (2013) (co-supervised with Jordi Torres), on using Machine Learning for efficient management of data centers.
- Borja Balle (2013) (co-supervised with Jorge Castro), on spectral methods for learning latent variable models.
- Javier Alonso (2011) (co-supervised with Jordi Torres), on using Machine Learning to address software aging in large data centers.
- Albert Bifet (2009) (co-supervised with José L. Balcázar), on methods for mining fast data streams and pattern mining algorithms.
- Victor Dalmau (2000), on the computational complexity of constraint satisfaction problems.
- David Guijarro (2000), on the computational complexity of machine learning problems.
- Carlos Domingo (1999), on efficient algorithms and computational complexity of machine learning problems.