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:
- July 2020: I will be in the panel of a session on Data for Good at ICML 2020. One live session, and a re-run.
- April 12th, 2020: The 5th Workshop on Data Science for Social Good (SoGood 2020) accepting paper submissions now. Please submit! It will be held associated to ECML PKDD (14th-18th September), in principle in Ghent, Belgium. The ECML PKDD organization is considering the ways to go online in case the situation requires it.
- 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, 2020: 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, 2020: 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.
