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
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)
Charlotte GrossiordEnseignement et PhD Doctorant·es actuel·les Maxwell Zachary Wallace Bergström, Julie Anne Botzas-Coluni, Cross Jacob Heintzelman, Léo César Bernard Jacquat, Céline Joanna Sijlmans A dirigé les thèses EPFL de Eugénie Mas, Laura Mekarni, Janisse Deluigi, Thibaut Juillard Cours Applied ecology ENV-422 Le cours fournira les connaissances sur les systèmes écologiques nécessaires pour remettre en question les solutions appliquées en matière de durabilité. Nous allons évaluer de manière critique
Aldo BrandiExpertise
Earth Sciences and GeographyUrban climate modeling and measurements
Sara BonettiExpertise
Ecohydrological and geomorphological modeling
Education PhD | Civil and Environmental Engineering 2018 – 2018 Duke University
Teaching & PhD PhD Students Benjamin Andre De Blois Kargere, Qiming Sun, Frédéric Laurent Lardet, Taiqi Lian, Felix Bauer Courses Ecohydrological modeling ENV-411 This course provides the theoretical basis for understanding and modeling the interactions between the hydrologic cycle, vegetation, soil, climate, and human society. Hydrology
Christoph BachofenExpertise
As an urban plant ecophysiologist I'm interested in how the vegetation in urban systems interacts with the local microclimate. In particular, I study the mechanisms by which trees cope with extreme urban heat, and how their presence modulates the urban climate through transpiration cooling, shading and more.For my research, I combine mostly tree-level measurements, such as gas exchange and heat tolerance, with process-based modelling to scale to the urban canyon and beyond. I'm interested in compa
Théophile BoinnardFormation M2 ICFP - Physique Théorique | 2022 – 2023 École Normale Supérieure Paris, Paris, France M1 Physique Fondamentale | 2020 – 2021 École Normale Supérieure Paris-Saclay, Gif-Sur-Yvette, France L3 Physique Fondamentale | 2019 – 2020 École Normale Supérieure Paris-Saclay, Gif-Sur-Yvette, France Classe Préparatoire PCSI-PSI* | 2017 – 2019 Lycée Fabert, Metz, France Expériences professionnelles Stage M2 "Coefficient
Alexandros PapagiannisProf. Alex. Papayannis (Dipl. Ing., DEA, Ph.D.) is the Director of the Laboratory of Optoelectronics, Lasers and Applications (
http://www.physics.ntua.gr/~lola/pages/en.html
) and Professor of Atmospheric Physics, Laser Technology and Laser Remote Sensing at the National Technical University of Athens (NTUA). He received his DEA and Ph.D. Diplomas from the Université Paris 7, working at the Institut Pierre Simon Laplace (IPSL) du CNRS/Université Paris 6. He is affiliated to the Laboratory of Atmospheric Processes and their Impacts (LAPI) at EPFL.
He is a LiDAR expert (more than 35 years) in vertical profiling of atmospheric parameters, aerosols, bio-aerosols, clouds and gases (O3, H2O, glyoxal) in the troposphere, in combination with sun photometry, satellite data,
in situ
aerosol measurements and meteorological modelling. Being member of the 1st Tropospheric Ozone Network (TOR/TESLAS/EUREKA Projects) in Europe, he created, on 1996, the 1st European lidar Network (France, Switzerland, UK, Germany, Italy, Greece, Portugal). Soon after, he initiated the creation of several lidar groups in Greece, Brazil, Romania, China, etc., as well as of the RAYMETRICS lidar company (
www.raymetrics.com
), which is the first lidar company in the world with customers in throughout Europe, Americas, Asia and Africa. He is a founding member of the European lidar Network (EARLINET) (
www.earlinet.org
), which has been in operation since 2000. The NTUA lidar station serves as a calibration station of the CNES/NASA space lidar mission CALIPSO (
https://www-calipso.larc.nasa.gov/
) and the European Space Agency (ESA) space lidar mission AEOLUS (
https://www.esa.int/Applications/Observing_the_Earth/FutureEO/Aeolus/Introducing_Aeolus
).
His research focuses on the intercontinental transport of ozone, desert dust and biomass burning and continental aerosols and on their impact on clouds, climate, air quality and health. As his 1st Marie Curie ITN Grant (http://itars.uni-koeln.de/static/) combined the synergy of lidars, radars and micro-wave profiling systems to study of the aerosol-clouds interactions, his research is also focusing on the cloud formation processes based on such synergies. In recent years, his emphasis is also put on the typing and profiling of bio-aerosols using novel prototype lidar systems he designed and developed at NTUA.
He is member (2008-2015) and President (2015-2023) of the International Coordination Group for Laser Atmospheric Studies (ICLAS) (
http://iclas-ilrc.org/).
He has served as Co-chair and Member of the Scientific Committee of more than 26 International Conferences, related to lidar atmospheric/meteorological applications. He has participated in 67 research projects (EU, ESA, NASA, CNRS, INOE-Romania, IPEN-Brazil, and Greek national funds) and has published 132 papers in peer-reviewed journals, 6 Book chapters and 250 papers in peer-reviewed International Conferences Proceedings. He has received more than 8.100 citations (h-index 46) in Google Scholar. He has supervised more 15 Ph.D. students at NTUA and 60 M.Sc. Diploma Theses. 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).
Ianina AltshulerEnseignement et PhD Doctorant·es actuel·les Haohua He, Anna Dukat, Laureen Sarah Ahlers, Anastasiia Kosolapova, Grace Emma Marsh Cours Biology ENV-103 Ce cours aborde les principes fondamentaux régissant la vie et le monde vivant. Les sujets comprennent la diversité des organismes vivants, la biologie cellulaire, la génétique, l'évolution et l'écologie. Il fournit une base en biologie, favorisant la pensée critique et les compétences analytiques EESS - CESS Seminar Course - option 1 (FAL
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•
Guillaume Romain ObozinskiGuillaume Obozinski est Chef Data Scientist Adjoint au Swiss Data Science Center. Il a reçu le diplôme de doctorat en Statistiques de l'Université de Californie à Berkeley en 2009. Post-doc puis chercheur dans les équipes Willow et Sierra à l'INRIA / Ecole Normale Supérieure à Paris jusqu'en 2012, il a été chercheur à l'Ecole des Ponts ParisTech à Paris jusqu'en 2018. Ses domaines d'expertise sont principalement en apprentissage automatique, en statistique et en optimisation. Il a travaillé au fil du temps sur les méthodes d'apprentissage parcimonieux, les techniques d'optimisation pour l'apprentissage, les modèles graphiques probabilistes, l'apprentissage relationnel et les représentations vectorielles sémantiques. Il est intéressé par l'application de ces techniques à tous les domaines des data sciences, depuis la biologie computationnelle à l'analyse automatique d'images.
