Johanni Michael BreaTeaching & PhD PhD Students Aude Maier, Lucas Louis Gruaz, Flavio Martinelli Courses Artificial intelligence and society HUM-286 This course integrates social sciences and humanities with engineering sciences, and introduces students to the social, technical and political issues surrounding artificial intelligence. Biological data science II : machine learning BIO-322 Students understand basic concepts and methods of machine learning. They can describe them in mathematical
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Amaury Pierre Jiezhi WeiExpertise
Deep Learning, Computer Vision, Physics Informed Machine Learning, Graph Neural Networks
Amaury obtained his Master's degree in Robotics from the Federal Institute of Technology in Lausanne (EPFL) in 2021.Before joining IMOS, he worked for multiple years at Logitech Europe S.A. as a Software Engineer in the field of Augmented and Virtual Reality. He researched 6DoF tracking solutions for handheld devices, developed the firmware and designed the testing strategy for the MR Stylus MX Ink.During his
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
Jan Sickmann HesthavenProf. Hesthaven received an M.Sc. in computational physics from the Technical University of Denmark (DTU) in August 1991. During the studies, the last 6 months of 1989 was spend at JET, the european fusion laboratory in Culham, UK. Following graduation, he was awarded a 3 year fellowship to begin work towards a Ph.D. at Riso National Laboratory in the Department of Optics and Fluid Dynamics. During the 3 years of study, the academic year of 1993-1994 was spend in the Division of Applied Mathematics at Brown University and three 3 months during the summer of 1994 in Department of Mathematics and Statistics at University of New Mexico. In August 1995, he recieved a Ph.D. in Numerical Analysis from the Institute of Mathematical Modelling (DTU). Following graduation in August 1995, he was awarded an NSF Postdoctoral Fellowship in Advanced Scientific Computing and was approinted Visiting Assistant Professor in the Division of Applied Mathematics at Brown University. In December of 1996, he was appointed consultant to the Institute of Computer Applications in Science and Engineering(ICASE) at NASA Langley Research Center (NASA LaRC). As of July 1999, he was appointed Assistant Professor of Applied Mathematics, in September 2000 he was awarded an Alfred P. Sloan Fellowship, as of July 2001 he was awarded a Manning Assistant Professorship, and in March 2002, he was awarded an NSF Career Award. In January 2003, he was promoted to Associate Professor of Applied Mathematics with tenure and in May 2004 he was awarded Philip J. Bray Award for Excellence in Teaching in the Sciences (the highest award given for teaching excellence in all sciences at Brown University). He was promoted to Professor of Applied Mathematics as of July 2005. From October 2006 to June 2013, he was the Founding Director of the Center for Computation and Visualization (CCV) at Brown University. As of October 2007, he holds the (honorary) title of Professor (Adjunct) at the Technical University of Denmark. In November 2009, he successfully defended his dr.techn thesis at the Technical University of Denmark and was rewarded the degree of Doctor Technices -- the highest academic distinction awarded based on ... substantial and lasting contributions that has helped to move the research area forward and penetrated into applications. As grant Co-PI he served from Aug 2010 to June 2013 as Deputy Director of the Institute of Computational and Experimental Research in Mathematics (ICERM), the newest NSF Mathematical Sciences Research Institute. After having spend his entire academic career at Brown University, Prof Hesthaven decided to pursue new challenges and joined the Mathematics Institute of Computational Science and Engineering (MATHICSE) at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in July 2013. In March 2014 he was elected SIAM Fellow for contributions to high-order methods for partial differential equations.
Bruno Emanuel Ferreira De Sousa CorreiaThroughout my PhD and postdoctoral studies I was trained in world-renowned laboratories and institutions in the United States of America (University of Washington and The Scripps Research Institute). Very early in my scientific career I found out my fascination about protein structure and function. My PhD studies evolved in the direction of immunogen design and vaccine engineering which sparked my interest in the many needs and opportunities in vaccinology and translational research. My efforts resulted in an enlightening piece of work where for the first time, computationally designed immunogens elicited potent neutralizing antibodies. During my postdoctoral studies I joined a chemical biology laboratory at the Scripps Research Institute. In this stage I developed novel chemoproteomics methods for the identification of protein-small molecule interaction sites in complex proteomes. In March 2015, I joined the École Polytechnique Fédérale de Lausanne (EPFL) – Switzerland as a tenure track assistant professor. The focus of my research group is to develop computational tools for protein design with particular emphasis in applying these strategies to immunoengineering (e.g. vaccine and cancer immunotherapy). The activities in my laboratory focus on computational design methods development and experimental characterization of the designed proteins. Our laboratory has been awarded with 2 prestigious research grants from the European Research Council. Lastly, I have been awarded the prize for best teacher of Life sciences in 2019.
Olivier CanévetExpertise
Computer Vision, Machine Learning, Deep Learning
Research engineer at the Idiap Research Institute. I am a research engineer at the Idiap Research Institute. I have a PhD from the école Polytechnique Fédérale de Lausanne doneunder the supervision of Dr François Fleuret. My research was funded by the Swiss National Science Foundation (DASH). I graduated from the French Engineering School TELECOM Bretagne (Brest) in 2012 and hold a Master in image processing from Université de Rennes1. I did a six-
Silvestro MiceraShort biographical sketch Silvestro Micera received the University degree (Laurea) in Electrical Engineering from the University of Pisa, in 1996, and the Ph.D. degree in Biomedical Engineering from the Scuola Superiore Sant'Anna, in 2000. From 2000 to 2009, he has been an Assistant Professor of BioRobotics at the Scuola Superiore Sant'Anna where he is now the Head of the Neural Engineering group. In 2007 he was a Visiting Scientist at the Massachusetts Institute of Technology, Cambridge, USA with a Fulbri
Marwan Muhammad Ahmed AbdellahMarwan Abdellah, a self-motivated engineer born in Cairo, Egypt in 1987. He received his B.Sc. and M.Sc. degrees in Biomedical Engieering with distinction with honor from the Systems & Biomedical Engineering Department (SBME), Faculty of Engineering at Cairo University in 2009 and 2012 respectively. After graduation, he worked as a Research Engineer at IBE Technologies's R&D Department in a 4D ultrasound machines project. Then he moved to work as an Associate Software Engineer at the Biomedical Department in Symbyo Technologies. Afterwards, he joined the Multimedia Laboratory in the Swiss Federal Institute of Technology, Lausanne (EPFL) to conduct a research on H.264 & Reconfigurable Video Coding. Currently, he is working as a Scentific Visualization Engineer in the Blue Brain Project led by Prof. Henery Markram in the Brain Mind Institute at the Swiss Federal Institute of Technology, Lausanne (EPFL). Along with his professional career, Abdellah worked as an instructor at NILES (National Institute of Laser Enhanced Science) in Cairo University. He taught two courses in the areas of Computer Graphics and High Performance Computing. He focused in his M.Sc. thesis research on implementing high performance volume rendering techniques for large scale medical data on heterogeneous platforms. He succeeded in constructing a high performance Fourier Volume Render running entirely on CUDA-enable GPUs. Among his research intersets are High Perfromance Computing, Heterogenous Comuting, Visualization, Scalable Rendering, Computer Graphics & Modelling, Medical Image Processing, Video Processing & Reconfigurable Video Coding, Abdellah has been awarded a graphics card from NVIDIA during attending a workshop in High Performance Computing at the Intenational Center of Theoritical Physics (ICTP) in Trieste, Italy. His graduation project was honored by ITIDA and Egyptian Ministres of Telecommunications & Higher Education during a celebration organized by ITIDA in March 2010.
Werner Alfons Hilda Van GeitWerner is the Group Leader of the Cells team within the Simulation Neuroscience Division in Blue Brain.
The goal of his team is to build the single cell models which are the building blocks of the larger network models used in the Blue Brain Project. The first step when building these cell models consists of reconstructing, analysing and artificially recreating neuron morphologies. Next, a biophysically detailed electrical model for the different cell types is built. For the latter the team uses automated parameter optimisation tools like Blue Brain’s open source BluePyOpt tool, but they are also active in extending and developing other Blue Brain software packages related to single cells.
