Wolf Hendrik HuwaldDr. Hendrik Huwald is a scientist at the Laboratory of Cryospheric Sciences (CRYOS) and a lecturer at the Environmental Sciences and Engineering Section (SSIE) of the Swiss Federal Institute of Technology in Lausanne (EPFL). He completed his PhD in 2003 at the Swiss Federal Institute of Technology in Zürich (ETHZ), developing a numerical model for sea ice and studying energy transfer processes in the Arctic. Between 2005 and 2012 he was a post-doctoral fellow and scientist at the Laboratory of Environmental Fluid Mechanics and Hydrology (EFLUM) of EPFL working on Alpine snow-atmosphere interaction, and energy balance-related research mainly in mountain regions. During this time, he designed, led and participated in numerous large field experiments in different environments. In 2013 he joined the newly founded CRYOS laboratory where he conducted research in the domains of snow science, hydrology, boundary layer meteorology and environmental sensing. He has extensive experience with project management both on national and international level.
Valentin SimeonovResearchComplete publication list Valentin SimeonovCollaborateur scientifique- EPFL ENAC EFLUMList of publicationsRefereed 1. V. Mitev, V. Simeonov, and I. Grigorov, "Model experiment in measuring the temperature and concentration of water vapours in air by spontaneous Raman scattering", Bulg. J. Phys. 9, No 5, pp. 549-558, (1982)2. V. Mitev, V. Simeonov, and I. Grigorov, ”Atmospheric gases temperature measurements by pure rotational Raman scattering”, Russian Journal of Applied Spectroscopy, 39,
Jiannong FangEnseignement et PhD A dirigé les thèses EPFL de Marco Giovanni Giometto A co-dirigé les thèses EPFL de Gaofeng Zhao
Stephan BrunnerEnseignement et PhD Doctorant·es actuel·les Hugo Jean Elie Chkroun, Nicole Vadot, Oraz Anuaruly, Haomin Sun, Isabel Muzio, Fabien Nicolas Jeanquartier A dirigé les thèses EPFL de Ajay Chandrarajan Jayalekshmi, Arnas Volcokas A co-dirigé les thèses EPFL de Xavier Lapillonne, Thibaut Vernay, Julien Stanislas Pierre Dominski, Gabriele Merlo, Emmanuel Lanti, Noé Ohana, Moahan Murugappan Cours Plasma instabilities PHYS-736 To complete the theoretical knowledge acquired before the graduate studi
Ian SmithPhD Université de Cambridge, 1982 Interêts 1 Contrôle actif de la forme des structures pour améliorer leur aptitude au service et leur déploiement 2 Structures biomimétiques (apprentissage, auto-diagnostic, auto-réparation) 3 Gestion de l'infrastructure par l'identification structurale 4 Applications avancées de l'informatique Plus de détails, voir https://www.epfl.ch/labs/imac/fr/recherche/smith_ian_fr/ 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).
Federico AmatoI have an MSc in Engineering and a Ph.D. in Sustainable Development and Innovation Engineering. After a three-year Postdoc in Environmental Data Mining, in 2021 I joined the Swiss Data Science Centre, a joint venture between the polytechnical schools of Lausanne (EPFL) and Zurich (ETH) having as mission the acceleration of the digital transformation of the academic community and the industrial sector, putting to work Artificial Intelligence and Machine Learning and facilitating the multidisciplinary exchange of data and knowledge.
Over the years I worked on the development of methodological tools to mine and model big spatiotemporal datasets. I extensively applied such methods to study the interaction between the spatial and temporal components of environmental and geographical phenomena, and their consequences in terms of spatial planning and urban geography. My academic activity has focused on the analysis of land-use dynamics and their relationship with climate, pollution, natural hazards, and other social/economic phenomena. I have deep competencies in applied statistics, machine learning, geocomputation, spatial statistics, urban modeling, and remote sensing. I am also an expert in European Project development and implementation.
Jan SkaloudExpertise
Satellite positioning, inertial and integrated navigation Sensor orientation and calibration, attitude determination Mobile mapping, airborne laser scanning Adjustment methods, Kalman Filtering
Mission
Teaching in 3 EPFL sections and 2 faculties, director of ESO lab.
Books / Monographs J. Skaloud and M. Cramer, «Data Capture,» in GIS Handbook, W. Kresse and D. Danko, Eds. Springer, 2011. D. Lichti and J. Skaloud, «Registration and Calibration,» in Airborne and terrestrial laser scanning, H.-G. Ma
Natacha PascheDr. Natacha Tofield Pasche est une limnologiste, qui s'intéresse particulièrement aux processus biogeochimiques dans les lacs. Ingénieure en Environnement de l'EPFL, elle a réalisé son doctorat sur le cycle des nutriments et la production de méthane au lac Kivu . Au Rwanda de 2009 à 2013, elle a créé un programme de surveillance pour limiter les impacts potentiels de l'extraction du méthane dans le lac Kivu. Depuis le septembre 2013, elle est l'Adjointe du Directeur du Centre de Limnologie à l'EPFL. Elle a coordonné la science, la logistique des campagnes de mesures et les finances de deux larges programmes de recherche. Le premier visait à comprendre la vie sous la glace lacustre face au réchauffement climatique, et le deuxième avait pour but de cartographier la qualité des eaux des lacs avec des images aériennes novatrices. En tant que cheffe de projet, elle a piloté la création de la plateforme LéXPLORE pour des mesures innovantes sur le Léman et coordonne les différents projets de recherche.
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