Page 7 of 14

Emilio Soria becomes Full Professor

Today, February the 11th is a celebration day at IDAL. Our beloved Emilio got a Full Professorship at the University of Valencia; the decision was made unanimously by the panel of professors who evaluate his application, after a brilliant presentation of his CV, teaching project (dealing with Signal Processing) and research project (focused on Deep Learning). We all are happy and proud of you Emilio, congrats from your IDAL friends.

IMG_0119IMG_0120

IDAL setting up new collaboration research with QUTIS group

From 18th to 20th January 2016, IDAL member José D. Martín visited the research group Quantum Technologies for Information Science (QUTIS). QUTIS is a group led by Prof. Enrique Solano conducting cutting-edge research in the field of Quantum Technologies. During his visit, José D. Martín gave a lecture on Machine Learning and its connections with Quantum Technologies and worked on setting up a research collaboration between the two groups, as hopefully will be the case.

ESANN is coming closer… and IDAL will be there

As it is traditional, the last week of April, the charming city of Bruges (Belgium) will see another edition of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). IDAL will participate with three papers and a special session on “Physics and Maching Learning: emerging paradigms”, co-organized by IDAL member José D. Martín. More info at https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#Physics

BrugesLeftBrugesRight

IDAL involved in WCCI 2016

IDAL member José D. Martín has proposed a special session in the World Congress in Computational Intelligence (WCCI 2016), that will be held in Vancouver (Canada) next July. The special session is entitled “Computational Intelligence in Personal Health”, and has been proposed in collaboration with Professor Paulo Lisboa (Liverpool John Moores University) and Dr. Alfredo Vellido (Technical University of Catalonia); this activity is within th framework of the Task Force on Medical Data Analysis of the IEEE Computational Intelligence Society Data Mining Technical Committee. More info at http://www.wcci2016.org/spsessions.php

IDAL at IEEE ICDM

IDAL member Joan Vila attended the IEEE International Conference on Data Mining that was held in Atlantic City, from November 14th to November 17th. Joan presented the work entitled “Improving mortality prediction in cardiovascular risk patients by balancing classes”, submitted to the Workshp on Data Mining in Biomedical Informatics and Healthcare (DMBIH). The workshop was co-organized by another IDAL member, José D. Martín.

IDAL at Valencian Summer School on Machine Learning

IDAL participated actively in the Valencian Summer School on Machine Learning that was held in Valencia during 15th and 16th September 2015. The School was sponsored by the University of Valencia, the Technical University of Valencia, Big ML and Las Naves. Prof. José D. Martín gave a keynote talk entitled “The Future of Machine Learning”, opening the second day of the school.

Dr. Peter Wittek visits IDAL

Dr. Peter Wittek, one of the world-reference researchers in the field of Quantum Machine Learning visited IDAL last 1st and 2nd October. Dr. Wittek is currentl affiliated with ICFO-The Institute of Photonic Sciences (Barcelona, Spain) and the University of Borås (Sweden). He and IDAL set up a collaboration in the framework of a COST action on Computational Learning and Quantum Information Theory (COLQIT). During the visit, Dr. Wittek gave an outstanding talk entitled “Machine Learning and Quantum Physics: Control, Reinforcement Learning, and Using Quantum Resources”.

 

IDAL at IEEE-ICDM

As in the two previous years, Prof. José D. Martín has been involved in the organization of the workshop “Data Mining in Biomedical Informatics and Healthcare (DMBIH) 2015”, within the IEEE International Conference on Data Mining series (IEEE-ICDM) that will be held from 14th to 17th November in Atlantic City (NJ, USA). Prof. Joan Vila will attend the confence to present the work entitled “Improving mortality prediction in cardiovascular risk patients by balancing classes”.

 

« Older posts Newer posts »