Jérémy DumoulinExpertise
energy system modelling, electric mobility, solar energy, photovoltaic performance modelling
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).
Dorsan Alexis A. LepourExpertise
Energy transition and decarbonizationUrban energy systemsSmart gridsRenewable energy communities
Formation Génie électromécanique | 2015 – 2018 UCLouvain Génie électrique et électronique | 2018 – 2020 EPFL
Marie Amélie Camille CourtantExpertise
Photovoltaics, advanced crystalline silicon solar cells, perovskite and multi-junction ultra-high efficiency devices, solar module technology and reliability, building integrated photovoltaics, energy systems and storage, specialty detectors with thin and thick film absorber.
Mission
PV‑Lab’s major mission is to advance photovoltaic science, technology, as well as its grid integration, as a cornerstone of the global energy transition, by combining scientific excellence with impactful innovation. A
Noémie Alice Yvonne Ségolène JeanninExpertise
Energy systems, Photovoltaic electricity generation, Electric vehicles charging, Geographic Information Systems (GIS)
My research focuses on coupling photovoltaic production with electric vehicle charging. I am developing a methodology to quantify the vehicle charging needs using a geographical approach. My PhD is part of the European project OPENGIS4ET, which will result in an online geographic platform to support the energy transition: citiwatts.eu.
Wenlong LiaoExpertise
deep learning, power system, renewable energy, data analysis
Xiao-Shan YapExpertise
Dr. Xiao-Shan Yap is Lead Senior Researcher at EPFL Space Center, Swiss Federal Institute of Technology Lausanne in Switzerland and affiliated as a guest Assistant Professor at the Copernicus Institute of Sustainable Development, Utrecht University in the Netherlands. Yap is pioneering a scientific research agenda on 'earth-space sustainability' to specify opportunities and challenges for a sustainable planetary future as anthropogenic activities expand into outer space. While space-based technolo
Dan RenDan Ren studied Materials Science and Engineering in the Shanghai Jiao Tong University from 2009-2013. He then continued his study as a graduate student in the National University of Singapore with Prof. Jason Boon Siang Yeo and earned his Ph.D. degree in Chemistry in 2017. During his PhD, he developed Cu-based nanostructures and bimetallic systems for efficient and selective electrochemical reduction of carbon dioxide to multi-carbon products. He also developed in situ tools, especially in situ Raman spectroscopy, for probing electrocatalytic surface during carbon dioxide reduction and revealed the nature of active sites as well as the adsorbed intermediates. In early 2018, he moved to Switzerland and joined LPI as a postdoc. After working with Prof. Michael Graetzel for half a year, he was promoted to group leader and continued leading the solar fuel research subgroup since then. He is now working on electrocatalytic carbon dioxide reduction, operando Raman spectroscopy and system engineering for artificial photosynthesis. He has authored/co-authored >30 publications in prestigious academic journals and presented his work in >10 international conferences. These work have garnered >2000 citations and 6 of them are ESI highly cited papers (top 1% in the discipline of Chemistry). Together with Prof. Graetzel, he has successfully secured several grants both at national and international levels, including 'Solar-Bio Fuels' from Gebert Rüf Stiftung, 'SUN2CHEM' from EU H2020, '112CO2' from EU H2020, 'METHASOL' from EU H2020 and a collaboration grant from Saudi Arabia.
Yuning JiangExpertise
Learning- and optimization- based policies for operating complex intelligent systems such as nonlinear autonomous systems (e.g., au- tonomous vehicles, robotics, and smart buildings) and large-scale multi-agent systems (e.g., power and energy systems, IoT and traffic networks).
Expertise
Learning- and optimization- based policies for operating complex intelligent systems such as nonlinear autonomous systems (e.g., au- tonomous vehicles, robotics, and smart buildings) and large-scale multi-agent sy
