Dominique de WerraDominique de Werra was born in Switzerland in 1942. He graduated in physical engineering at EPFL in 1965, and in 1969, a doctorate in technical sciences.
From 1969 to 1971 he was professor at Waterloo University (Canada) in the Management Sciences department. He has been a visiting professor in various European and American High Schools. In 1971 he became professor of Operations Research in Mathematics at EPFL. In 1990, he was appointed Vice President of EPFL and in addition, he became Director of training in autumn 1993.
His research focuses on discrete mathematics (combinatorial optimization, graph theory, algorithms, etc.) and their applications to industrial and informatics technology.
He has participated and directed several interdisciplinary projects in production, distribution, energy and scheduling. His work leads in particular to the time management problem and specifically to calendar management for important projects (sports, education, etc.).
In 1987-1988, he chaired the EURO association which encompasses the Operational Research in Europe. He is Dr. h.c. of Paris University and Ecole Polytechnique in Poznan, and he was the winner of the European gold medal (EURO) of Operational Research in 1995. In March 2000 he was appointed Dean of International Affairs.
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.
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).
Jun HanJun Han is a PhD student at the chair of Operations, Economics and Strategy, supervised by Prof. Thomas Weber. He holds an undergraduate degree in Mathematics and Applied Mathematics from Nankai University. His research interests include decisions under uncertainty, operations research, and applications of tensors on data science. He aims to do research for the better understanding of the world and the improvement of human life.
