Yingzhao LianYingzhao graduated with a MSc in Mechanical Enginerring from EPFL in 2018. He specialized in optimization and learning theory. He jointly conducted his master’s thesis with the Automatic Control Lab, EPFL and ABB Corporate Research, Baden, where he investigated the problem of data-driven model based optimal control. In August 2018, he joined the Automatic Control Laboratory at EPFL as a PhD student under the supervision of Professor Colin Jones.
Roland LogéRoland Logé is an associate professor at EPFL, with a primary affiliation to the Materials Institute, and a secondary affiliation to the Microengineering Institute.
After graduating in 1994 at UCL (Belgium) in Materials Engineering, he earned a Master of Science in Mechanics in 1995, at UCSB Santa Barbara (USA). He received his PhD at Mines Paristech-CEMEF (France) in 1999, where he specialized in metal forming and associated microstructure evolutions. After a postdoc at Cornell University (USA) between 1999 and 2001, he entered CNRS in France.
In 2008, he was awarded the ALCAN prize from the French Academy of Sciences, together with Yvan Chastel.
In 2009 he became head of the Metallurgy-Structure-Rheology research group at CEMEF.
In 2011, he launched a “Groupement de Recherche” (GDR), funded by CNRS, networking most of the researchers in France involved in recrystallization and grain growth.
In 2013, he became Research Director at CNRS.
In March 2014 he joined EPFL as the head of the Laboratory of Thermomechanical Metallurgy.
Andrea RuffinoAndrea Ruffino received the B.Sc. degree (cum laude) in Engineering Physics from Politecnico di Torino, Turin, Italy, in 2013, the triple joint M.Sc. degree (cum laude) in Micro and Nanotechnologies for Integrated Systems from Politecnico di Torino, Institut National Polytechnique de Grenoble (INPG), Grenoble, France, and École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, in 2015 and the Ph.D. degree in Microsystems and Microelectronics from EPFL in 2021.
From 2015 to 2016, he was with Hypres, Inc., Elmsford, NY, USA, working on the design of superconducting readout circuits in rapid single flux quantum (RSFQ) technology for superconducting nanowire single-photon detectors. In 2016, he joined EPFL as a Research Assistant and from 2017 to 2018 he was a Visiting Research Assistant at Delft University of Technology, Delft, The Netherlands. Since 2016 he has been with EPFL, where he is working on cryogenic CMOS electronics for qubit readout and control, focusing on single-chip cryo-CMOS transceivers for scalable silicon quantum computers. His main research interests include analog and RF integrated circuit design, cryogenic CMOS electronics for quantum computing applications, superconducting electronics and sensors.
Dr. Ruffino was also among the Best Student Paper Award finalists at the IEEE Radio-Frequency Integrated Circuits (RFIC) Symposium 2019 and he is a recipient of the IEEE Solid-State Circuits Society (SSCS) Predoctoral Achievement Award for 2020-2021.
Mathieu HursinAprès une thèse de doctorat sur la modélisation haute fidélité d'ejection de barres de contrôle dans un réacteur à eau préssurisée à l'Université de Californie à Berkeley et un court postdoc à l'université du Michigan, j'ai passé les premières 8 années de ma carrière au Paul Scherrer Institut. Mes activités de recherche étaient principalement dédiées à developper des méthodes de propagation d'incertitudes dans les schémas de calculs déterministes utilisés pour la modélisation des centrales nucléaires suisse
Dasaraden MaureeExpertise
Climatologie, Dynamique des fluides, Météorologie, Sciences de l'atmosphère,Modélisation atmosphérique, Physique de l'atmosphère, Modélisation Méso-échelle, Couche limite atmosphérique, Utilisation et efficacité énergétique en milieu urbain.
Expertise
Climatologie, Dynamique des fluides, Météorologie, Sciences de l'atmosphère,Modélisation atmosphérique, Physique de l'atmosphère, Modélisation Méso-échelle, Couche limite atmosphérique, Utilisation et efficacité énergétique en milieu urbain.
Ces trav
