Jieping ZhuEnseignement et PhD Doctorant·es actuel·les Morgane Elodie Marie Delattre, Paul Jean Gri, Clément Paul Adrien Rols, Yun Hao Shawn Teh A dirigé les thèses EPFL de Jean-Baptiste Gualtierotti, Ala Bunescu, Thomas Buyck, Olivier Wagnières, Minh Tu Ha, Dylan Jean Robert Dagoneau, Antonin François Roland Clemenceau, Cyril Piemontesi, Nicolas David Gaeng, Mathias Mamboury, Raphaël Beltran, Balázs Budai, Teerawat Songsichan, Alexandre Julien Florent Leclair, Bastien Delayre, Rémi Julien Sylvain Andres, Dina Boyar
Roberto CastelloRoberto 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).
Andrea MerliEnseignement et PhD Doctorant·es actuel·les Spencer Collaviti
Aravindhan VenkateswaranEnseignement et PhD Cours Projet de master en physique PHYS-599(b) L'étudiant·e réalise un projet de recherche en physique en relation directe avec les scientifiques d'un laboratoire ou en entreprise.
Luis Miguel Garcia MartinEnseignement et PhD Cours Particle physics: the flavour frontiers PHYS-471 Ce cours présentera les aspects expérimentaux de la physique des saveurs, principalement dans le secteur des quarks mais aussi dans celui des leptons, et leur rôle dans le développement du modèle standard de la physique des particules. Projet de master en physique PHYS-599(b) L'étudiant·e réalise un projet de recherche en physique en relation directe avec les scientifiques d'un laboratoire ou en entre
Berend SmitEnseignement et PhD Doctorant·es actuel·les Anastasia Blokhina, Raluca-Ana Kessler, Seyed Amirmohammad Elahi, Juliette Veronique Schleicher, Yutao Li, Xin Jin, Sara Bassetta, Beatriz Bueno Mouriño A dirigé les thèses EPFL de Samantha Lynn Anderson, Daniele Ongari, Andrzej Gladysiak, Seyedmohamad Moosavi, Arunraj Chidambaram, Bardiya Valizadeh, Stavroula Kampouri, Fatmah Ebrahim, Fatma Pelin Uran, Andres Adolfo Ortega Guerrero, Kevin Maik Jablonka, Elias Moubarak, Sauradeep Majumdar, Miriam Jasmin Pougin,
Afficher plus
