Jürgen BruggerI am a Professor of Microengineering and co-affiliated to Materials Science. Before joining EPFL I was at the MESA Research Institute of Nanotechnology at the University of Twente in the Netherlands, at the IBM Zurich Research Laboratory, and at the Hitachi Central Research Laboratory, in Tokyo, Japan. I received a Master in Physical-Electronics and a PhD degree from Neuchâtel University, Switzerland. Research in my laboratory focuses on various aspects of MEMS and Nanotechnology. My group contributes to the field at the fundamental level as well as in technological development, as demonstrated by the start-ups that spun off from the lab. In our research, key competences are in micro/nanofabrication, additive micro-manufacturing, new materials for MEMS, increasingly for wearable and biomedical applications. Together with my students and colleagues we published over 200 peer-refereed papers and I had the pleasure to supervise over 25 PhD students. Former students and postdocs have been successful in receiving awards and starting their own scientific careers. I am honoured for the appointment in 2016 as Fellow of the IEEE “For contributions to micro and nano manufacturing technology”. In 2017 my lab was awarded an ERC AdvG in the field of advanced micro-manufacturing.
Damien Lambert Alain Félicien GilliardEducation Master of science | Burgerlijk ingenieur-architect 2020 – 2022 UGent Bachelor of science | Ingénieur civil architecte 2015 – 2020 UCLouvain
Teaching & PhD Courses Introduction to computational architecture AR-327 This course introduces the students to text programming practice in 3D modeling (Rhinoceros3D). The main objective of the course is to develop a computational mindset to maximize the use of efficient digital tools in architectural des
Yves LeterrierYves Leterrier joined EPFL in 1993 and is a faculty member of the Materials Institute. He is a senior scientist and lecturer in the Laboratory for Processing of Advanced Composites (LPAC, previously Laboratory of Composite and Polymer Technology, LTC). Activities
2000-2005: Foundation and Chair of the Korea-Switzerland joint symposia on materials and micro-technologies2004-2008: Board member of FLEXIDIS (the European flexible display consortium) 2004-2009: Group leader on lightweight materials for Solar ImpulseSince 2008: Board member of the French Adhesion SocietySince 2000: President of the EPFL Materials Science Library commissionSince 2012: Editorial board member, Applied Surface ScienceSince 2014: Associate Editor, Frontiers in MaterialsSince 2021: Coordinator of the EPFL Minor on 'Engineering for Sustainability'
Background
1987: MS in materials science and solid state physics (INPL, France) 1991: PhD in materials science (Ecole des Mines, INPL, France) 1992: Research Associate, National Institute of Standards and Technology (NIST, USA)
Konstantinos KarapiperisKostas Karapiperis is an Assistant Professor at EPFL directing the Data-Driven Mechanics Laboratory (LMD). His research lies at the intersection of mechanics, multiscale modeling, and data science, with applications ranging from geomaterials to structural materials. Prior to EPFL, he worked as a Postdoctoral Researcher and Lecturer at the Department of Mechanical and Process Engineering of ETH Zürich, supported by a Marie Sklodowska-Curie Fellowship. He holds a PhD in Applied Mechanics and a Minor in Applie
Tatiana PieloniExpertise
Beam dynamics in accelerators.Colliders luminosity and beam-beam interactions.Collective effects.
Teaching & PhD PhD Students Yi Wu, Lode Vanhecke Past EPFL PhD Students as codirector Xavier Buffat, Claudia Tambasco Courses Advanced concepts in particle accelerators PHYS-751 Accelerator physics covers a wide range of very exciting topics. This course presents basic physics ideas and the technologies underlying the workings of modern accelerators. An overview of the new ideas and
Raffael BaurExpertise
Architect, teacher and researcher. Expertise in sustainable and circular construction systems, detailing, the art and history of craft and fabrication in relation to space and tectonics. Experimental research in timber- and plywood construction, folded sheet metal and textile reinforced concrete (with civil engineers).
Expertise
Architect, teacher and researcher. Expertise in sustainable and circular construction systems, detailing, the art and history of craft and fabrication in relation to space
Patricia GuaitaExpertise
pedagogy of makingdrawing as an actionmultidisciplinary projectsdesign methodologies in 1:1 fabricationexperiential learning processesknowledge transfer with the Global Southdiversity and care
Patricia Guaita is an architect, researcher, and educator with expertise in drawing as an action and social and sustainable research projects. Her work focus on design methodologies, which incorporate drawing by hand, 1:1 fabrication, spatial and tectonic analysis, and the development of construction protoco
Pierre-Etienne BourbanBackground 1990 Ingénieur en science des matériaux 1993 PhD in materials science Activities 1993-1994 Research at the Center for Composite Materials, University of Delaware, USA (ccm.udel.edu), SNSF grant Since 1994 Research and teaching at EPFL, Composites, (LTC, LPAC) 1995-1999 Coordination Swiss Priority Program on Materials research: 2.2: Composites Since 1998 Biocomposites 2004-2009 Direction of the EPFL Transdisciplinary programme in Sport and Rehabilitation 2005-2008 Member of the EPFL Vice-Presidency for Innovation and Valorisation and direction a.i.EPFL-LTC Since 2016 Direction Discovery Learning Labs Materials/Bioengineering and Engineering
Guillaume Romain ObozinskiGuillaume Obozinski is Deputy Chief Data Scientist at the Swiss Data Science Center. He graduated with a PhD in Statistics from UC Berkeley in 2009. He did his postdoc and held until 2012 a researcher position in the Willow and Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad interests in statistics and machine learning and worked over time on sparse modeling, optimization for large scale learning, graphical models, relational learning and semantic embeddings, with applications in various domains from computational biology to computer vision.
