Best paper award @ KDIR2017
The paper titled “Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications” has been orally presented by one of the research fellow of the QEP research group, Dr. Emmanuele Peluso, at the KDIR 2017 (Knowledge Discovering and Information Retrival) conference in Madeira, (Portugal) sponsored by the INSTICC Institute. The scientific committee, considering the required high quality level and novelty of the manuscript, the extremely positive reviews of the referees, the clearness, style and technical level of the presentation hold by Dr. Peluso at the conference, has selected the paper to be awarded with the “best paper award” of the conference.
Dr. Peluso is Winner of the Italian Embassy fellowship for an internship at the European Laboratory for Nuclear Fusion EFDA-JET, Culham Science Centre in 2011. Visiting scientist at JET (Joint European Torus, Culham Science Centre) in different periods during the experimental campaigns C31-C33-C34-C36-C36b-C37 and during the JET Analysis and Modelling Campaign in 2017, has scored more than one year of work abroad in multidisciplinary, international and scientific environments. At the moment he is also an active collaborator in ITER related specific tasks.
These are Emmanuele words after he received the award: “My work deals with the application of advanced statistical tools on magnetically controlled nuclear fusion data, e.g Symbolic Regression via Genetic Programming and machine learning tools; data mining of huge databases is a consequent field of study. Avoidance and mitigation of disruptions, confinement time in TOKAMAKS, L-H transition studies and Bolometry reconstructions are my actual main topics of research that are carried on in collaboration with Italian and European researchers, including the CIEMAT (Spain) and the NILPRP (Romania).”