Daniel Alexander Florez OrregoEnseignement et PhD Doctorant·es actuel·les Vibhu Baibhav Cours Advanced energetics ME-451 Méthodes pour l'utilisation rationnelle et la conversion de l'énergie dans les processus industriels: comment analyser l'utilisation de l'énergie, calculer la récupération de chaleur par analyse de pincement, définir le réseau d'échangeurs thermiques et réaliser une analyse exergétique.
Athanasios NenesEnseignement et PhD Doctorant·es actuel·les Berkay Dönmez, Ernest Abboud A dirigé les thèses EPFL de Paraskevi Georgakaki, Lucile Ricard Cours Atmospheric processes: from cloud to global scales ENV-407 L'objectif principal est de voir les processus atmosphériques les plus importants de l'échelle locale à l'échelle globale. Le cours démarrera avec les processus nuageux, continuera avec les phénomènes synoptiques comme les cyclones extratropicaux et fronts, pour finir par la modélisation num
Julia SchmaleEnseignement et PhD Doctorant·es actuel·les Berkay Dönmez, Yolanda Temel, Nora Bergner, Benjamin Jérémy Laurent Heutte, Henrik Tasman Helmig, Sristi Shamarthi Das A dirigé les thèses EPFL de Ivo Fabio Beck, Roman Pohorsky Cours Physics and chemistry of the atmosphere ENV-320 Ce cours est une introduction aux phénomènes physiques et chimiques gouvernant la dynamique atmosphérique à petite et grande échelle. Le cours est structuré afin de donner une compréhension en profondeur de notre atmos
Giancarlo Ferrari TrecateExpertise
Automatic control, Dependable control, Neural-network Control, Machine learning, Microgrids, Hybrid systems
Mission
See the webpage of the DECODE (Dependable Control and Decision) group.
Teaching & PhD PhD Students Laura Meroi, Julien Pallage, Nicolas Léo Pierre Kirsch, Simone Baratto, Daniele Martinelli, Riccardo Cescon, Jakob Nylöf, Sabri El Amrani Past EPFL PhD Students Pulkit Nahata, Mustafa Sahin Turan, Baiwei Guo, Jean-Sébastien Brouillon, Clara Galimberti, Andrea Martin, Muhammad Zakwan,
Jérémy DumoulinExpertise
energy system modelling, electric mobility, solar energy, photovoltaic performance modelling
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).
Olga FinkEnseignement et PhD Doctorant·es actuel·les Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei A dirigé les thèses EPFL de Ismail Nejjar, Mengjie Zhao Cours Data Science for infrastructure condition monitoring CIVIL-332 Le cours couvrira les étapes pertinentes de la surveillance de l'état des infrastructures basée sur les données: l'acquisition des données, en passant p
Simon Elias BibriExpertise
• Sustainable cities• Smarter eco-cities• Sustainable smart cities• Artificial Intelligence of Things (AIoT) • Generative Artificial Intelligence of Things (GAIoT)• Foundation Models (FMs) • Quantum Generative Artificial Intelligence (QGAI)• Urban Digital Twins (UDTs)• Urban Brain (UB) • Smart Circular Metabolism• Urban planning and design• Environmental sustainability and climate resilience• Sustainable smart energy• Sustainable smart transportation• Sustainable smart waste and water management•
Mirko MusaEnseignement et PhD Doctorant·es actuel·les Louise Cayroche, Antonio Magherini Cours Hydraulic engineering and infrastructures CIVIL-312 L'eau est indispensable à la vie, mais c'est aussi une force naturelle puissante. L'ingénierie hydraulique vise une gestion durable de l'eau pour l'approvisionnement, l'énergie et la protection.
Georgia SotiropoulouExpertise
• Clouds: macro- & micro- physical, radiative, thermodynamic & dynamical processes • Remote sensing of clouds & thermodynamics • Boundary-layer processes • Atmospheric modeling (large-eddy, weather prediction & climate models)
Expertise
• Clouds: macro- & micro- physical, radiative, thermodynamic & dynamical processes • Remote sensing of clouds & thermodynamics • Boundary-layer processes • Atmospheric modeling (large-eddy, weather prediction & climate models)
Aldo BrandiExpertise
Earth Sciences and GeographyUrban climate modeling and measurements
Andrew James SontaExpertise
Human-building interaction, building energy, occupant behavior, sustainable design and planning, walkability, network analysis, machine learning, urban informatics, social systems.
Andrew Sonta is a tenure track assistant professor of sustainable civil engineering at EPFL. He directs the ETHOS Lab: Engineering and Technology for Human Oriented Sustainability. ETHOS is an interdisciplinary research group focused on using data-driven and computational tools to create interventions in the built envir
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Francisco Xavier Felix Martin Del CampoEnseignement et PhD Cours Material flow analysis and resource management ENV-501 Ce cours permet de maîtriser les bases des processus de production et consommation de matières et d'énergie. Les étudiants développent une analyse de flux de matières, l'appliquent à la gestion des ressources, aux activités économiques ainsi qu'à l'élaboration de politiques publiques.
Dorsan Alexis A. LepourExpertise
Energy transition and decarbonizationUrban energy systemsSmart gridsRenewable energy communities
Formation Génie électromécanique | 2015 – 2018 UCLouvain Génie électrique et électronique | 2018 – 2020 EPFL
Du WenEducation PhD | Doctor of Philosophy, Mechanical Engineering 2020 – 2023 The University of Tokyo MEng | Master of Engineering, Power Engineering and Engineering Thermophysics 2016 – 2019 Xi’an Jiaotong University Bsc | Bachelor of Engineering 2012 – 2016 Xi’an Jiaotong University
