Alexandre Massoud AlahiAlexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.
Marc-Edouard Baptiste Grégoire SchultheissMarc-Édouard Schultheiss is a doctoral student at the Laboratory of Urban Sociology at EPFL. He is interested in multi-day and multi-person activity-travel behaviours analyses, and he questions the effect of habits and routines on the resistances to change in the context of urban mobility practices. His research work focuses on the mechanisms of modal shift and leverages the potential of raw geolocation data and open-data for city planning.
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).
Vincent KaufmannVincent Kaufmann is associate professor of urban sociology and mobility at Ecole Polytechnique Fédérale de Lausanne (EPFL). Since 2011, he is also scientific director of the Mobile Lives Forum in Paris. After a master degree in sociology (Universtiy of Geneva) he did his Ph.D. at EPFL on rationalities underlying transport modal practices. Vincent Kaufmann has been invited lecturer at Lancaster University (2000-2001), Ecole des Ponts et Chaussées, Paris (2001-2002), Laval University, Québec (2008) Nimegen University (2010), Université de Toulouse Le Mirail (2011), Université Catholique de Louvain (2004-2018) and Tongji University in Shanghai (2018). There fields of research are: motility, mobility and urban life styles, links between social and spatial mobility, public policies of land planning and transportation. He recently published “Mobilité et libre circulation en Europe” (with Ander Audikana) Economica (2017).
David Andrew BarryResearch InterestsSubsurface hydrology, constructed wetlands, ecological engineering, in particular contaminant transport and remediation of soil and groundwater; more generally, models of hydrological and vadose zone processes; application of mathematical methods to hydrological processes; coastal zone sediment transport, aquifer-coastal ocean interactions; hydrodynamics and modelling of lakes.
Daniel FavratDaniel Favrat a obtenu à l'EPFL son diplôme d'ingénieur mécanicien en 1972 et le titre de docteur ès sciences techniques en 1976.
Il passe ensuite 12 ans dans des centres de recherche industriels au Canada et en Suisse.Depuis 1988, D. Favrat est professeur et directeur du Laboratoire d'énergétique industrielle à l'EPFL. Il est aussi successivement directeur de l'Institut des Sciences de l'énergie et, dès janvier 2007, de l'Institut de Génie Mécanique. Ses recherches portent sur les analyses systémiques prenant en compte l'énergétique, l'environnement et l'économie (optimisation environomique), et les systèmes avancés pour une utilisation plus rationnelle de l'énergie (pompes à chaleur, moteurs, piles à combustible,turbomachines etc.)
Il est membre de l'Académie Suisse des Sciences Techniques et vice-président du comité énergie de la Fédération Mondiale des Organisations d'Ingénieurs. Il est éditeur associé du journal "Energy" et l'auteur de deux livres sur la thermodynamique et l'énergétique publiés aux Presses Polytechniques Universitaires Romandes.
David Atienza AlonsoDavid Atienza Alonso is an associate professor of EE and director of the Embedded Systems Laboratory (ESL) at EPFL, Switzerland. He received his MSc and PhD degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for multi-processor system-on-chip (MPSoC) servers and edge AI architectures. Dr. Atienza has co-authored more than 350 papers, one book, and 12 patents in these previous areas. He has also received several recognitions and award, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He has also earned two best paper awards at the VLSI-SoC 2009 and CST-HPCS 2012 conference, and five best paper award nominations at the DAC 2013, DATE 2013, WEHA-HPCS 2010, ICCAD 2006, and DAC 2004 conferences. He serves or has served as associate editor of IEEE Trans. on Computers (TC), IEEE Design & Test of Computers (D&T), IEEE Trans. on CAD (T-CAD), IEEE Transactions on Sustainable Computing (T-SUSC), and Elsevier Integration. He was the Technical Program Chair of DATE 2015 and General Chair of DATE 2017. He served as President of IEEE CEDA in the period 2018-2019 and was GOLD member of the Board of Governors of IEEE CASS from 2010 to 2012. He is a Distinguished Member of ACM and an IEEE Fellow.
