Since February 2020 I am on leave from UPC and full time at Amalfi Analytics. The UPC email address will continue working. I will not be able to take any interns or PhD students in the foreseeable future.
I work at the Department of Computer Science of Universitat Politècnica de Catalunya - BarcelonaTech (UPC). I belong to the LARCA research group.
My research is on Machine Learning and Data Mining, both in their algorithmic aspects and their applications. I am particularly interested in the applications of Data Science to Social Good.
I am co-founder of Amalfi Analytics. We create data analytic platforms for the management of complex healthcare systems.
News:
- October 2020: Survey paper on AI in critical care in the light of covid: Artificial Intelligence for clinical decision support in critical care, required and accelerated by COVID-19. Miia Jansson, Juanjo Rubio, Ricard Gavaldà, Jordi Rello. Journal of Anaesthesia Critical Care & Pain Medicine, 39:6, December 2020, p. 691-693.
- September 18th, 2020: We held the 5th Workshop on Data Science for Social Good (SoGood 2020) in fully online mode. It was associated to the ECML PKDD conference. Two great keynote talks by Pedro Saleiro and Natalia Adler, plus 7 accepted papers on how to use data for good.
- July 2020: I am in the panel of a session on Data for Good at ICML 2020. One live session, and a re-run.
- March 6th, 2020: Rafael Mena-Yedra defended his PhD thesis, on using Machine Learning for traffic prediction. an industrial doctorate on traffic prediction and management at Aimsun, co-supervised with Jordi Casas.
- Feb 5th, 2020: I start an academic leave to go full time in Amalfi Analytics. Quite a change after 30+ years in UPC!
- Jan 20, 2020: Our data streams book has a Chinese translation!
- October 19, 2019: Paper Probabilistic model for robust traffic state identification in urban networks with Rafael Mena and Jordi Casas, presented at 2019 IEEE Intelligent Transportation Systems Conference (ITSC).
- June 19, 2019: Paper Interpretable Patient Trajectories from Temporally Annotated Health Records with Martí Zamora, presented at 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)
- Sept 1st, 2019: Check the program of the 4th Workshop on Data Science for Social Good (SoGood 2019).
- Feb 14th, 2019: Matteo Ruffini defends his Ph.D. thesis "Learning Latent Variable Models: Efficient Algorithms and Applications". A honor to have been his supervisor.
