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 OrregoExpertise
• Exergy and Energy Integration of Chemical and Industrial Processes• Cogeneration and Polygeneration, Refrigeration and Heat Pumping Systems• Technical, Economic and Environmental Analyses• Refineries, Biorefineries, Fertilizers Complexes, Hydrogen and Synthetic Fuels (SNG, DME, MeOH, FT, H2, Power-to-X)• Second law of Thermodynamics and Irreversible Thermodynamics• Combustion, Heat Transfer, Computational Fluid Dynamics, Reaction design• Modeling and Optimization of Energy Conversion Systems• Ma
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. In her recent research, she investigated regional energy transitions from a socio-technical perspective. She put a special focus on technology adoption decisions to derive strategies and policy recommendations fostering sustainable transitions. Therefore, she pursued an interdisciplinary approach and combined environmental as well as social science methods (i.e. MFA, ABM, LCA, expert interviews, surveys). After her PhD, she had the chance to put her knowledge into practice and managed a three-year programme 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. Recently, she worked as a consultant in an energy agency for and in the city of Graz. 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 mostly been performed 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 FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
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 HeierTeaching & PhD PhD Students Vahid Charkhesht Past EPFL PhD Students as codirector Nicolas Alexandre Serge Leclaire, Donatas Gesevicius, Surendra Babu Anantharaman, Sina Abdolhosseinzadeh, Shungui Deng Courses Modern photovoltaic technologies PHYS-609 A link between the fundamental physics, device operation and technological development of various solar cell technologies. Learning about all modern photovoltaic technlogies incl. industrially relevant wafer based silicon, thin film chalcogeni
Akuto Akpedze KonouExpertise
Ecological & Social Architecture; Sustainable urban planning; Urban agriculture and health-oriented spatial planning and design; Nature-Based Solutions; Circular Design and Construction.
Mission
Design and research healthier, more inclusive, climate-resilient environments through ecological architecture and health-oriented spatial planning.
Akuto Akpedze Konou, PhD, is an architect and urban planner affiliated with CEAT ENAC - IIE EPFL. Her work bridges architectural design and urban planning with
Francisco Xavier Felix Martin Del CampoExpertise
Transdisciplinary researchSocio-metabolic researchMaterial flows and stocks analysisSustainabilityBuilt environmentInfrastructureClimate changeResource securityCircular economyWaste
Francisco has a Civil Engineering background specialized in Resources Management and has several years of professional experience in the construction and engineering sector. He received his Master's degree in Project Management for Environmental and Energy Engineering from IMT Atlantique, France, and his PhD in Sustain
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
Teaching & PhD PhD Students Alisa Gross, Matthieu Schmidt, Marco Labagnara, Lorenzo Scutteri, Haozong Zeng Past EPFL PhD Students Ahmad Sadeghi, Mahsa Barzegarkeshteli, Vojislav Gligorovski, Roxane Oesterle Courses Biophysics : physics of biological systems PHYS-302 Understand and use the results and methods of population genetics, population dynamics, network theory, and reaction network dynami
Baraka Jean-Claude MunyakaEducation Doctorate | Industrial & Systems Engineering 2021 – 2021 University of Pretoria Masters | Insdustrial Engineering 2014 – 2014 Durban University of Technology Professionals experiences Industrial Engineer Consultant 2012–2022 Tsanyela, XIG Minerals, Volticor Enterprises, Durban; Snackworks, Durban; Microfinish Manufacturing, Durban; Nampak Flexible, Durban; Emcor Flexible, CapeTown;Industrial Engineer 2009–2010 Smith’s Plastics Ltd, Durban
Teaching &
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 TroncosoSPRING Lab
Our research focuses on building secure and privacy-preserving systems. We aim to develop tools and methodologies to help engineers embedding strong security and privacy guarantees in their designs, as well as techniques that help them to systematically quantifying the information that an adversary can infer from data she may have access to.More information about our activities here: https://spring.epfl.ch/
Teaching & PhD PhD Students Saiid El Hajj Chehade, Eric Jollès, Christian Knabenhans, Boy 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
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
