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•
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
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
Robert WestRobert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]
Maria Anna HecherMaria Anna Hecher obtained her PhD degree at the University of Graz, Austria and the Ludwig-Maximilian-University, Germany. In her research she investigates energy transitions from a socio-technical perspective with a special focus on individual adoption decisions in the building sector to derive strategies and policy recommendations fostering sustainable energy transitions. Therefore, she pursues an interdisciplinary approach combining environmental and social science methods. After her PhD, she had the chance to put her knowledge into practice and managed a three-year program on regional sustainabiltiy projects in an energy region in Styria, Austria. In cooperation with local decision-makers, public authorities, schools, companies and the local population, she realized projects in the field of renewable energy and sustainable mobility. She worked as a consultant in an energy agency for and in the city of Graz, Austria. She managed projects in the field of e-mobility and spatial energy planning collaborating with public authorities, energy suppliers, city planners and research institutions. Her work in recent years, has been performed mostly in an inter- and transdisciplinary setting integrating knowledge from different scientific disciplines and fields of practice at the interface between research, politics and society.
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
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).
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,
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
Akuto Akpedze KonouAkuto Akpedze KONOU AKA Rolande est une jeune femme du Togo (Afrique de l'Ouest), architecte et urbaniste assermentée, communicatrice, auteur et motivatrice de talent. Elle est passionnée par la recherche en matière de développement durable, d'entrepreneuriat et de technologies vertes. Akuto est actuellement doctorante au laboratoire CEAT/EPFL et travaille sur un volet de recherche du projet Sinergia du FNS "Contributions africaines à la santé mondiale": "Circulation des connaissances et des innovations" (https://globalhealthafrica.ch/). Le projet de recherche étudie les connaissances et les pratiques liées à l'amélioration de la santé et des soins de santé qui ont été développées ou conçues en Afrique. Le projet est mené par une équipe pluridisciplinaire de l'EPFL, de l'Université de Bâle et du Swiss TPH. Fulbright et DKG World Fellow, Akuto a étudié au département de planification communautaire et régionale (College of Design) de l'Université d'État de l'Iowa aux États-Unis en tant qu'assistante de recherche, ainsi qu'après un master en architecture et en urbanisme à l'EAMAU.Akpedze pratique son métier depuis 7 ans, en intégrant au mieux les principes de l'architecture et de l'urbanisme durables. Après son master à l'EAMAU, GIGA, le groupe Eric DUVAL, l'OIF, GIZ, R-SUD, le gouvernement togolais de la prospective et de l'évaluation des politiques publiques, UN-Habitat, le PNUD, le groupe GFA et la Banque mondiale ont renforcé ses compétences. Elle s'engage à travers son domaine à contribuer à la protection de la planète et à la bonne santé de ses habitants. Akpedze soutient que tout être vivant a droit à un environnement sain et décent, et son objectif est d'utiliser l'architecture sociale et l'aménagement durable du territoire pour soutenir les communautés. Akpedze est active au sein d'associations professionnelles telles que l'ONAT, l'OSM, Minodoo, YALI Allumni, TDIF Think Tank et a participé de manière dynamique à plusieurs ateliers internationaux, concours, expositions, puis conférences et formations à l'entrepreneuriat ou au leadership, et sur les questions de villes intelligentes. Co-fondateur de AXE DURABLE et AfriK Durabiliterre, Akuto Akpedze KONOU est convaincue d'avoir une contribution unique à la R & D dans le domaine de la planification durable pour un impact positif sur le Sud et le développement mondial. Francisco Xavier Felix Martin Del CampoEnseignement et PhD Cours Material flow analysis and resource management ENV-501 Ce cours permet de maîtriser les bases des processus de production et consommation de matières et d'énergie. Les étudiants développent une analyse de flux de matières, l'appliquent à la gestion des ressources, aux activités économiques ainsi qu'à l'élaboration de politiques publiques.
Matteo FaveroExpertise
Dynamic thermal comfort, Indoor environmental quality, Occupant-centric modelling, Human-building interaction, Multi-domain environmental exposure, Building physics, Building performance simulation, Thermal flexibility, Climate-adaptive buildings, Multilevel modelling, Statistical thinking, Causal thinking, Simulated-data experimentation.
Matteo Favero is a Postdoctoral Researcher at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He is currently a member of the Human-Oriented Bu
Sahand Jamal RahiExpertise
- Biophysics- Statistical mechanics- Systems biology- Computational biology- Genetics
Enseignement et PhD Doctorant·es actuel·les Alisa Gross, Matthieu Schmidt, Marco Labagnara, Lorenzo Scutteri, Haozong Zeng A dirigé les thèses EPFL de Ahmad Sadeghi, Mahsa Barzegarkeshteli, Vojislav Gligorovski, Roxane Oesterle Cours Biophysics : physics of biological systems PHYS-302 Comprendre et utiliser la génétique des populations, la dynamique des populations, la théorie des réseaux et la
Baraka Jean-Claude MunyakaExpertise
Transport modelling, Logistics, Supply Chain Systems, and Urban Planning, Geospatial Analysis, Lean Manufacturing
Dr. Jean-Claude Munyaka Baraka is a Research Collaborator at the Urban and Regional Planning Community (CEAT) at the Swiss Federal Institute of Technology in Lausanne (EPFL). A citizen of the Democratic Republic of Congo, Dr. Munyaka holds a Doctorate in Industrial and Systems Engineering from the University of Pretoria, South Africa, and earned his Master's degree with Cum Laude in th
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
Carmela González TroncosoEnseignement et PhD Doctorant·es actuel·les Saiid El Hajj Chehade, Eric Jollès, Christian Knabenhans, Boya Wang, Mathilde Aliénor Raynal A dirigé les thèses EPFL de Sandra Deepthy Siby, Sylvain Chatel, Christian Vincent Mouchet, Bogdan Kulynych, Kasra Edalatnejadkhamene, Sinem Sav, Theresa Stadler, Klim Kireev Cours Privacy at the communication layer CS-721
Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Charlotte Malterre-BarthesEnseignement et PhD Doctorant·es actuel·les Elif Erez Henderson, Summer Saud Islam, Kathlyn R Kao A co-dirigé les thèses EPFL de Nagy Makhlouf Cours Field Work - The Terrain, the Lab, the Archive AR-689 Théorie et critique du projet BA5 (Malterre-Barthes) AR-301(ah) "Etre utile a quelqu'un, l'aider, l'assister" : In Service of: Berre mene unereflexion sur le project architectural et territorial comme une forme de service public et explore comment les outils de la conception
Anne-Florence Raphaëlle BitbolI was trained in physics, and always had a strong interest in biology. I am broadly interested in understanding biological phenomena in a quantitative way, through physical concepts and mathematical and computational tools. I investigate the relative impacts of optimization and historical contingency in biological evolution, both at the scale of protein sequences and at the scale of microbial populations.Here is my research group website.Curriculum vitae Here is my complete CV. Professional experience:Since
