Prof. José D. Martín has been visiting the recently created QuArtist Lab (Quantum Artificial Intelligence for Science and Technology), at Shanghai University, led by Prof. Enrique Solano (http://www.quartist.shu.edu.cn/). On top of teaching a crash course on classical Machine Learning (ML) to set the foundations of Quantum ML approches, Prof. Martín has discussed many possible research collaborations with Prof. Solano and other QuArtist members, that will hopefully lead to creative and innovative research results in the short and mid term. Looking forward to going on enjoying and reinforcing this collaboration with QuArtist!
Last January 18th, IDAL members Juan José Garcés, José D. Martín and Fernando Mateo were giving a seminar at the renowned European Centre for Nuclear Research (CERN). Within the framework of the joint collaboration between IDAL and CERN that has been carried out the two past years, the seminar dicussed the feasibility of applying Machine Learning (ML) to automatically recognize mass spectra for UHV systems. The achieved results suggest that ML is indeed appropriate to deal with the problem and open up a window for more through analyses in the near future.
Professor Paulo. J. G. Lisboa from Liverpool John Moores University visited IDAL on 2nd May to give a seminar entitled “Data insights from machine learning with applications to biomedical data”. Prof. Lisboa is one of the most worldwide-recognized personalities in biomedical applications of machine learning and data analysis, currently chairing the Horizon2020 Advisory Group for Societal Challenge 1 (Health, Demographic Change and Wellbeing) and the IEEE Task Force on Medical Data Analysis.
José D. Martín enjoyed a research stay at the Department of Applied Mathematics of the Liverpool John Moores University (LJMU), UK, working with the group led by Professor Paulo Lisboa. Jose was granted by the Spanish Ministry of Education, Science and Sport within the Program for Senior Researchers; he stayed from May to September working on different issues related to Quantum Machine Learning, with special emphasis on Quantum Clustering, where relevant progresses have been made, enhancing the original formulation especially in terms of dealing with non-spherical structures and fluctuations in the density of data points, thus finding a natural number of clusters.
Last July 18th, Carlo Barbieri got a PhD with the work entitled “Anemia management in End Stage Renal Disease patients undergoing dialysis: a comprehensive approach through machine learning techniques and mathematical modeling”. This research work has been carried out within the framework of the close collaboration between Fresenius Medical Care (FME) and IDAL. The PhD was supervised by IDAL members José D. Martín and Emilio Soria as well as by Prof. Bernard Canaud, Chairman of the FME Medical Board for Europe, Middle East, Africa and Latin America. The breakthrough research conducted by Carlo was shown up in his excellent viva, that was qualified as Excellent Cum-Laude, the maximum grade for a PhD thesis. The panel of examiners was chaired by Dr. Stefano Stuard (Vice President at FME Europe, Middle East and Africa); Dr. Marcelino Martínez (University of Valencia) was the Secretary of the panel, and Dr. Ignacio Díaz was the external examiner. Congratulations Carlo for your great work!
Dr. José D. Martín on behalf of IDAL attended the kick-off meeting of DISMOD, an international consortium involving medical and technological partners, very relevant in their respective fields. The meeting was held in Madrid last March 8th, and as a result of it, DISMOD will make the necessary arrangements to apply for a project whose tempative acronym is AKIPREV. The final result of AKIPREV will be a tool to predict the probability of undergoing Acute Kidney Injury (AKI), thus helping nephrologists in their daily routine since AKI is a very unpredictable injury at present.
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.