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).
Alain WegmannAlain Wegmann joined EPFL in 1996. His interests are in techniques to better align business and IT. He developed, with his group and partners, the SEAM methods: SEAM for business (strategic thinking), SEAM for enterprise architecture (business/IT alignment) and SEAM for software (IT). The originality of SEAM is in the integration of generic systems thinking principles into discipline-specific methods. This integration has three benefits: (1) the possibility to relate the different disciplines (by having common systemic principles); (2) the capability to leverage on discipline-specific knowledge (by using the vocabulary and the heuristics of each discipline) and (3) to be more efficient in solving problems (by benefiting from the problem solving techniques developed in systems thinking). SEAM is currently applied in master courses and consulting. Consulting is done for start-ups developing their business and technology strategies and for large companies having service-oriented architecture projects.
Prior to joining EPFL, Alain Wegmann worked for 14 years with Logitech in software development/engineering management (Switzerland, Taiwan, US), manufacturing (Taiwan) and marketing (US). When he left Logitech, Alain Wegmann was engineering vice-president and marketing director for large accounts.
