Esther AmstadEnseignement et PhD Doctorant·es actuel·les Reece Carolann Whatmore, Marc Elies Grädel, François Raphaël Rivat, Rocio Garcia Montero, Robin Michel Studer, Brian David Ridenour, Harsha Koganti, Zoubeir Saraw, Louisa Rinaldi, Greta Cocchi, Gaia Dupont A dirigé les thèses EPFL de Antoine Claude Jean Vian, Huachuan Du, Gianluca Etienne, Mathias Steinacher, Efe Armagan, Alvaro Lino Boris Charlet, Michael David Kessler, Aysu Ceren Okur, Matteo Hirsch, Chuen-Ru Li, Pauline Camille Charlotte Pradal, Gaia De Angel
Siara Ruth IsaacExpertise
Higher Education Teaching and LearningInteractive Teaching for Large GroupsArtificial Nucleoside Analogs
Enseignement et PhD Cours Learning and collaboration in project HUM-279 Ce cours explore les fondements théoriques et pratiques de l'apprentissage par projets. L'étude active de modèles, contextes et outils utilisés dans l'apprentissage par projet vous permettra de développer des compétences cognitives et collaboratives utiles à tout contexte de projet. Lecturing and Presentin
Anna Carratala RipollesDuring my PhD, I mainly focused on characterizing the effect of environmental factors (namely temperature and sunlight) and disinfectants on the stability of human viral pathogens as contaminants of aquatic environments. In addition,I developed a novel source tracking tool to identify avian fecal contamination in environmental samples. Thanks to a research fellowship given by the Spanish Ministry of Science and Technology, I also had the opportunity to explore the diversity of marine viruses in Mediterranean coastal waters by genetic fingerprinting and by next generation sequencing. Later on, I became interested in the long-term effect of environmental stressors on virus communities, so I joined the LCE as a postdoc to investigate the adaptation of enteroviruses to ultraviolet radiation. For 4 years, I worked on developing UV-resistant viruses and characterizing their acquired phenotypic and genetic properties by combining directed evolution experiments, deep sequencing and population genetics. Out of the lab, I am passionate about nature, traveling and scuba diving.
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
Meret AeppliEnseignement et PhD Doctorant·es actuel·les Bence Dienes, Emma Lorraine Defrang, Elisa Berger, Michelangelo Vuono Cours Environmental chemistry ENV-200 Ce cours fournit aux étudiants une vue d'ensemble sur les bases de la chimie de l'environnement: chimie des systèmes naturels et le devenir des produits chimiques anthropiques dans les systèmes naturels. Il permet aux étudiants d'appliquer les concepts chimiques généraux aux systèmes naturels. Fate and behaviour of environmental contamina
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.
Jean-Louis ScartezziniDirecteur du Laboratoire d'Energie Solaire et de Physique du Bâtiment à l'EPFL (1994-présent); Fondateur & Directeur de l'Institut des Infrastructures, des Ressources et de l'Environnement à l'ENAC (2002-2009); Fondateur & Directeur du Programme Doctoral en Environnement de l'EPFL (2002-2009); Co-Directeur de l'Institut des Techniques du Bâtiment de l'EPFL (1994-1997); Professeur Associé de Physique du Bâtiment à l'EPFL (1994-1997); Professeur Associé de Physique du Bâtiment à l'Université de Genève (1990-1997); Chef de Groupe & Chercheur associé au Laboratoire d'Energie Solaire et de Physique du Bâtiment de l'EPFL (1981-1989); Chercheur associé au Groupe de Recherche en Energie Solaire de l'EPFL (1981-1989); Chercheur associé à l'Institut de Géophysique Appliquée de l'Université de Lausanne (1980-1981).
Rizlan Bernier-LatmaniHIGHER EDUCATION
Summer course: Advances in Genome Technology and Bioinformatics Course at the Marine Biology Laboratory in Woods Hole, MA. October 2005.
Ph.D. 2001 Civil and Environmental Engineering, Stanford University, CA
(Advisor, Jim Leckie, Biodegradation of uranyl (UO22 )-complexed citrate and implications for uranyl mobility in the subsurface)
M.S. 1995 Civil and Environmental Engineering, Stanford University, CA
B.S. 1993 Natural Resources with Honors, Cornell University, Ithaca, NY
PROFESSIONAL EMPLOYMENT
2013-present Associate professor with tenure, School of Architecture, Civil and Environmental Engineering, Swiss Federal Institute of Technology, Lausanne
2005-2013 Assistant professor tenure track, School of Architecture, Civil and Environmental Engineering, Swiss Federal Institute of Technology, Lausanne
2001-2005 Post-Graduate Researcher, Scripps Institution of Oceanography, La Jolla, CA (PI: Brad Tebo)
1995-2001 Graduate Research Assistant, Stanford University (Advisor: Jim Leckie)
RESEARCH INTERESTS
Gemicrobiology, metal-bacteria interactions, biological reduction and oxidation of metals, biological nanoparticle formation; Characterization of microbial communities in terrestrial environments; Using genomic, microscopic and spectroscopic tools to understand metal transformations by microorganisms.
ACADEMIC HONORS
Rotary Foundation University Professor grant, 2004.
Swiss National Science Foundation Post-doctoral Fellowship, 2001.
Leon B. Reynolds Memorial Scholarship in the School of Engineering at Stanford University, 1995-96.
Graduated with Honors from Cornell University, 1993.
BIBLIOMETRY
http://www.researcherid.com/rid/E-4398-2011
ResearcherID: E-4398-2011 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•
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/ Xun LiaoI'm a LCA sustainability consultant, focusing on R&D and applications of integrating LCA with traditional corporate ESG reporting and management, as well as bridging the gap between LCA, Supply chain management (SCM) , risk assessment and business sustainability investment and decision-making.
As a Marie Curie PhD fellow in EPFL, I'm working on sustainability (social/economic/environmental) assessment, design and optimization of different biorefinery concepts.
As a sustainability consultant, I'm researching and developing methodologies and tools for the following field:
- Corporate ESG and sustainability investment
-Assess and manage GHG emissions, Water and land, renewable energy, human health, Biodiversity, social issues
-Materiality, CDP report, GRI and other reporting initiatives
-Competitive advantage through investment in sustainability (ESG) programs
- Strategy, Supply chain management and risk assessment within the framework of Life Cycle thinking
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Commodity, Supply chain, Operational risks due to regulatory, physical factors.
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Life cycle costing
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Risk assessment
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Integration of assessment, optimization and management of supply chain, downstream and corporate operational data
I have many years experience in life cycle assessment, with expertise in water database modeling and assessment, energy analysis and life cycle inventory modeling. Worked with various industries, including energy, agri-food, packaging, tire, oil & gas, semi-conductor, pet food, pharmaceutical and textile sectors, for clients such as World Business Council for Sustainable Development, Mondelez, Kraft Foods, Nestlé, Michelin, Bayer, Pfizer, Huntsman, GE, Intel, and many others. Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
