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.
Jérémy DumoulinExpertise
energy system modelling, electric mobility, solar energy, photovoltaic performance modelling
Jakob HeierEnseignement et PhD Doctorant·es actuel·les Vahid Charkhesht A co-dirigé les thèses EPFL de Nicolas Alexandre Serge Leclaire, Donatas Gesevicius, Surendra Babu Anantharaman, Sina Abdolhosseinzadeh, Shungui Deng Cours Modern photovoltaic technologies PHYS-609
Virginia CarnevaliExpertise
Theoretical condensed matter physics: theory and simulations of structural, electronic, magnetic and optical properties (Quantum ESPRESSO), ab-initio molecular dynamics (CP2K), and Kinetic Monte Carlo codes; automate Quantum ESPRESSO workflows and high-throughput calculations (AFLOWÏ€); generation of tight-binding hamiltonians, transport properties, and data analysis (PAOFLOW).Materials for photovoltaic: Pb- and Sn-based organic perovskites; investigation and improvement of the HTL-ETL interaction
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•
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
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
Andrea VezzosiAndrea Vezzosi is a postdoctoral researcher in the group of Prof. Ursula Rothlisberger at the Institute of Chemical Sciences and Engineering, EPFL (Switzerland). He earned his Ph.D. in Physics and Nanosciences from the University of Modena and Reggio Emilia in 2024, where he investigated spin–orbit coupling and topological states in core–shell semiconductor nanowires. During his doctoral studies, he developed nwkp, an open-source Python library for computing the band structure of core–shell nanowires using
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).
Pascal Alexander SchouwinkEnseignement et PhD Cours Advanced Solid State and Surface Characterization CH-633 Principles and Applications of X-ray Diffraction CH-632
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,
Vivek SubramanianEnseignement et PhD Doctorant·es actuel·les Giovanni Ruffolo, Giada Romano, Sanjay Manoharan, Kyle Haas, Claude Dahan, Biruktait Ayele Lemecho, Yagmur Ceren Alatas, Tugçe Delipinar A dirigé les thèses EPFL de Amin Hodaei, Mustafa Mohieldin Fadlelmula Fadlelseed A co-dirigé les thèses EPFL de Mohammad Jafarpour Cours Organic and printed electronics MICRO-505 Ce cours traite de la mise en œuvre des technologies de l'électronique organique et imprimée: les matériaux, les procédés d'impression
Ludovica LunghiProfessionals experiences Master Thesis Erasmus Traineeship on "Optimization of SiOx/Poly-Si passivating contacts for TOPCon solar cells" 2024–2024 EPFL - PV-Lab Education B.Sc. | Physics 2019 – 2022 Università di Pavia (Italy) M.Sc. | Material Physics 2022 – 2024 Università di Pavia (Italy)
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
Christian Michael WolffEnseignement et PhD Doctorant·es actuel·les Chiara Ongaro, Kliner Vojtech, Jonas Lasse Diekmann, Hilal Aybike Can, Yu-Hsuan Lai A co-dirigé les thèses EPFL de Quentin Jean-Marie Armand Guesnay, Kerem Artuk, Deniz Türkay, Mostafa Othman
Prix et distinctions Prix ZKS/EPFL Zeno Karl Schindler Foundation 2025
Vladislav SlamaExpertise
Atomistic modeling of the biological pigment protein complexes consisting of molecular dynamics simulations (AMBER), computing ground and excited state properties of molecules and molecular aggregates including the effects of the environment (Gaussian, PyScf) and simulating excitation dynamics and optical spectra using quantum master equation approaches (Quantarhei).
Expertise
Atomistic modeling of the biological pigment protein complexes consisting of molecular dynamics simulations (AMBER), compu
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
