Philip Neil GarnerTeaching & PhD PhD Students Yesmine Abdennadher, Mutian He, Elija Maria Vida Past EPFL PhD Students as codirector Mohammadjavad Taghizadeh, Pierre-Edouard Jean Charles Honnet, Sibo Tong, Bastian Schnell, Alexandre Samuel Philippe Bittar, Louise Clothilde Coppieters De Gibson, Haolin Chen
Justin Richard BallDr. Justin Ball is a staff scientist studying theoretical plasma physics and nuclear fusion energy. His research primarily focuses on the effect of plasma shaping on turbulence in tokamaks. He is the principle investigator of the EUROfusion Theory, Simulation, Verification, and Validation project on negative triangularity. Additionally, he is an avid fusion science communicator via magazine articles, lectures, and podcasts. In 2019, he and Jason Parisi published a popular science book titled The Future of F
Jieping ZhuTeaching & PhD PhD Students Morgane Elodie Marie Delattre, Paul Jean Gri, Clément Paul Adrien Rols, Yun Hao Shawn Teh Past EPFL PhD Students Jean-Baptiste Gualtierotti, Ala Bunescu, Thomas Buyck, Olivier Wagnières, Minh Tu Ha, Dylan Jean Robert Dagoneau, Antonin François Roland Clemenceau, Cyril Piemontesi, Nicolas David Gaeng, Mathias Mamboury, Raphaël Beltran, Balázs Budai, Teerawat Songsichan, Alexandre Julien Florent Leclair, Bastien Delayre, Rémi Julien Sylvain Andres, Dina Boyarskaya, Rémi Lavernhe,
Roger HerschRoger D. Hersch is professor of Computer Science and head of the Peripheral Systems Laboratory at EPFL. He received his engineering degree from ETHZ in 1975, worked in industry from 1975 to 1980, and obtained his PhD degree from EPFL in 1985. He directed the widely known
Visible Human Web Server project
, which offers a number of services for the visualization of human anatomy.
His current research focuses on color reproduction, spectral color prediction models, moiré imaging, and visual document security. Recent achievements include the PhotoProtect technology, which incorporates text as chromatic differences in order to protect identity photographs (Swiss driving license), microstructure imaging, which is used by railways companies (SNCF, RENFE) and festival organizers (Paleo) to print tickets at home and the band moire imaging technology for the protection of security documents.
Manuel Alexandre PouchonResearcher in experimental and theoretical materials science, specializing in the development of nuclear fuels since 1997, and structural materials for nuclear reactors since 2004. Presently leading nuclear materials lab (LNM) and the advanced nuclear materials (ANM) group and programme at the Paul Scherrer Institute (PSI) in Switzerland. The applicability of different material candidates in advanced nuclear reactors is researched. Especially different aspects of radiation damage are investigated. For this purpose the concept of sample miniaturization is applied and further developed. Recently leading a new activity in particle fuel production and application. Previously working for the FUJI project at PSI, where different nuclear fuel forms for fast reactors were produced, characterized and finally irradiated in reactor. This work was performed in collaboration with the Japan Nuclear Cycle Development Institute (JNC) and Nuclear Research & consultancy Group (NRG) in the Netherlands. Previously an International Fellow at JNC investigating the thermal conductivity, sintering behaviour, and mechanical interaction of ceramic-sphere fuel beds; this includes the use of finite element methods for simulating various behaviours. Previously at the Paul Scherrer Institute (PSI) and for the Inert Matrix Fuel Project for burning plutonium in light water reactors, investigating the thermal conductivity and the diffusion and solubility of fission products of a zirconia-based non-fertile matrix.
Joan DeckerTeaching & PhD PhD Students Ewout Koen L. Devlaminck, Isabel Muzio, Salomon Guinchard Courses Fusion and industrial plasma technologies PHYS-632 The course provides an overview of the technologies that are essential for fusion developments and for industrial plasmaapplications, highlighting the synergies between the two fields. The aim is to provide a combined theoretical andexperimental background to the various topics. Physique numérique (pour SPH) PHYS-210 Formulate and
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).
Michaël UnserExpertise
Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution
Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,
Anni Matilda KauniskangasCurrent Work
I am currently working as a doctoral researcher as a part of Prof. Shchutska's group in experimental particle physics. I am a member of the LHCb and SND@LHC collaborations. My PhD thesis work is mainly focused on performing a measurement of a rare B-meson decay process using the data from the LHCb experiment.
Education MSci Physics | 2018 – 2022 Imperial College London
ResearchCurrent Research Fields Experimental high-energy physics (flavour physics)
Teaching & PhDPast teachin
Pascal FrossardTeaching & PhD PhD Students Yiming Qin, Alba Carballo Castro, Elisa Messori, Ke Wang, Sevda Ögüt, Tuna Alikasifoglu, William Cappelletti, Manuel Madeira, Mahdi Amiri, Ortal Yona Senouf, Vasiliki Rizou, Cem Bilaloglu, Abdellah Rahmani, Amel Abdelraheem, Jérémy Jean Philippe Baffou, Adam Hazimeh, Vincent Jung, Yike Zhao Past EPFL PhD Students Dan Jurca, Jean-Paul Wagner, Ivana Radulovic, Ivana Tosic, Effrosyni Kokiopoulou, Zafer Arican, Vijayaraghavan Thirumalai, Tamara Tosic, Eirina Bourtsoulatze, Elif Vur
