Emad OveisiDr Emad Oveisi is a senior scientist at the Interdisciplinary Centre for Electron Microscopy (CIME), EPFL.
Emad received a BSc in Metallurgy and Materials Engineering (2005) and an MSc in Materials Science (2008) both from the University of Tehran (Iran). He graduated with a PhD in Materials Science and Engineering at EPFL in 2014 for a thesis on the "Three-Dimensional STEM Imaging of Dislocations" under the direction of Prof. Cécile Hébert. The PhD thesis at the Electron Spectrometry and Microscopy Laboratory (LSME), served as an introduction to many of the advanced microscopy techniques that have proven to be a platform for his research career. A post-doctoral research at the centre for electron microscopy gave him the opportunity to peruse a cutting-edge research on one of the most modern aberration-corrected transmission electron microscopes.Since the inauguration of the Energypolis campus of EPFL in Sion, he has been the manager and reference scientist of the electron microscopy platform of EPFL-Valais, working with 9 research groups and more than 200 researchers. In addition to this core responsibility, he provides advanced microscopy consulting and service to EPFL scientists and assist their research to the highest level possible.
Emad Oveisi’s research focuses on the application and development of novel electron microscopy techniques, with emphasis on 3D imaging of crystal defects, as well as the precision measurement of materials properties using aberration-corrected S/TEM. In 2018, he received the prestigious Microscopy Innovation Award for inventing “Single-shot three-dimensional electron imaging”, a novel technique that enables 3D imaging of in situ dynamics.
In 2016 Emad was elected as an interim representative for the scientific staff ("corps intermédiaire") to the Council of the Institute of Chemistry (ISIC). Since 2019, he is a member of EPFL Teachers’ Council (CCE) and has been elected as one of its four bureau members. This role allows him to be exposed to new ideas and pedagogical challenges, as well being involved in discussions with the Vice Presidency of Education (VPE) and other teaching organisations for defining teaching strategies at the EPFL.
Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Cécile HébertCécile Hébert was born in France in 1970. She obtained her Ingeneer degree (physics) and her PhD degree (design of a new energy filter for transmission electron microscopy, under the direction of Prof. B. Jouffrey) at the Ecole Centrale in Paris.
As a post doc with Prof. P. Schattschneider, she was working on the calculation of the fine structure of ionisation edges in EELS. As a research assistant at the Vienna University of Technology, she was one of the main participant to the CHIRALTEM project dealing with the measurement of magnetic circular dichroism in the electron microscope.
Alexandre Massoud AlahiAlexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.
Gulnaz GaneevaEducation Ph.D. | Physics 2018 – 2023 EPFL Directed by Cécile Hébert M.Sc. | Solid State Physics 2013 – 2014 Lomonosov Moscow State University
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