Athanasios NenesTeaching & PhD PhD Students Berkay Dönmez, Ernest Abboud Past EPFL PhD Students Paraskevi Georgakaki, Lucile Ricard Courses Atmospheric processes: from cloud to global scales ENV-407 The main objective is to present important atmospheric processes from the local to global scales. The course will start with cloud processes, continue to synoptic phenomena like extratropical cyclones and fronts, to finally cover numerical modeling at the regional and global scales. Introduction to environme
Julia SchmaleExpertise
atmospheric science, aerosol-cloud interactions, climate change in polar regions
Mission
Extreme environments are particularly sensitive to climate change and are transforming at accelerated rates. This can have important global repercussions. EERL aims to create integrated process understanding by investigating interactions between the atmosphere, cryosphere, biosphere, ocean, land and anthroposphere. The goal is to characterize climate-change relevant and vertically-resolved processes that are d
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 GrossiordTeaching & PhD PhD Students Maxwell Zachary Wallace Bergström, Julie Anne Botzas-Coluni, Cross Jacob Heintzelman, Léo César Bernard Jacquat, Céline Joanna Sijlmans Past EPFL PhD Students Eugénie Mas, Laura Mekarni, Janisse Deluigi, Thibaut Juillard Courses Applied ecology ENV-422 The course will provide the ecological systems knowledge needed to question applied sustainability solutions. We willcritically assess the complexity of current environmental issues, illustrating basic ecological
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 BoinnardEducation 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 Professionals experiences M2 internship "Turbulent
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 AltshulerTeaching & PhD PhD Students Haohua He, Anna Dukat, Laureen Sarah Ahlers, Anastasiia Kosolapova, Grace Emma Marsh Courses Biology ENV-103 This course will cover the fundamental principles governing life and the living world. Topics will include the diversity of living organisms, cellular biology, genetics, evolution, and ecology. This course provides a foundation in biology, fostering critical thinking & analytical skills. EESS - CESS Seminar Course - option 1 (FALL) ENV-630(a)
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 is Deputy Chief Data Scientist at the Swiss Data Science Center. He graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.
