Personne

Giuseppe Codispoti

Cette personne n’est plus à l’EPFL

À propos de ce résultat

Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.

À propos de ce résultat

Publications associées (1)

Veuillez noter qu'il ne s'agit pas d'une liste complète des publications de cette personne. Elle inclut uniquement les travaux sémantiquement pertinents. Pour une liste complète, veuillez consulter Infoscience.

Observation of the rare B-s(0)->mu(+)mu(-) decay from the combined analysis of CMS and LHCb data

Horst Vogel, Christoph Frei, Peter Clarke, Jean Wicht, Alessandro Mapelli, Aurelio Bay, Minh Tâm Tran, Andrea Rizzi, Marc-Olivier Bettler, Cédric Potterat, Matthias Finger, Tatsuya Nakada, Guido Haefeli, Niko Neufeld, Olivier Schneider, Pierre Jaton, Hans Dijkstra, Julien Rouvinet, Charles Dietz, João Miguel das Neves Duarte, Frédéric Guillaume Dupertuis, Frédéric Teubert, Gerhard Raven, Quentin Python, Bastien Luca Muster, Joo Yeon Kim, Alexis Kalogeropoulos, Chitsanu Khurewathanakul, Frédéric Blanc, Matthew Needham, Lesya Shchutska, Liang Sun, Alexandre Aubin, Yixing Chen, Tian Cheng, Ioannis Papadopoulos, Wei Sun, Barinjaka Rakotomiaramanana, Xiaoxue Han, Qian Wang, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,

Personnes menant des recherches similaires (32)

Roberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain. In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment. He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020). Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).

Yiming Li

Xin Chen

Afficher plus