Adrian BlumenthalTeaching & PhD Courses Numerical integration of dynamical systems MATH-452 In this course we will introduce and study numerical integrators for multi-scale (or stiff) differential equations and dynamical systems with special geometric structures (symplecticity, reversibility, first integrals, etc.). These numerical methods are important for many applications.
Anna Neus Igual MuñozExpertise
Tribology, corrosion, tribocorrosion, surface analysis, electrochemistry
Anna Igual Munoz is senior scientist at EPFL since 2022. She has a master degree in Industrial engineering (specialised in chemical engineering) and a PhD in Electrochemical corrosion (2001) from UPV. She did a Postdoctoral research at the University of Virginia (USA) in 2002 in the field of electrochemical impedance spectroscopy and local electrochemical techniques. She was Professor at the Technical University of Valencia (
Vassily HatzimanikatisDr. Vassily Hatzimanikatis is currently Associate Professor of Chemical Engineering and Bioengineering at Ecole Polytechnique Federale de Lausanne (EPFL), in Lausanne, Switzerland. Vassily received a PhD and an MS in Chemical Engineering from the California Institute of Technology, and his Diploma in Chemical Engineering from the University of Patras, in Greece. After the completion of his doctoral studies, he held a research group leader position at the Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland. Prior to joining EPFL, Vassily worked for three years in DuPont, Cargill, and Cargill Dow, and he has been assistant professor at Northwestern University, at Illinois, USA.
Vassilys research interests are in the areas of computational systems biology, biotechnology, and complexity. He is associate editor of the journals Biotechnology & Bioengineering, Metabolic Engineering and Integrative Biology, and he serves on the editorial advisory board of the journals Bioprocess and Biosystems Engineering, Journal of Chemical Technology and Biotechnology, and Industrial Biotechnology. He has written over 70 technical publications and he is co-inventor in three patents and patent applications.
Vassily is a fellow of the American Institute for Medical and Biological Engineering (2010), he was a DuPont Young Professor (2001-2004), and he has also received the Jay Bailey Young Investigator Award in Metabolic Engineering (2000), and the ACS Elmar Gaden Award (2011).
Guido HaefeliTeaching & PhD PhD Students Federico Ronchetti, Gauri Napoletano Past EPFL PhD Students as codirector Axel Kuonen, Olivier Göran Girard, Carina Trippl Courses Particle detection PHYS-440 The course will cover the physics of particle detectors. It will introduce the experimental techniques used in nuclear and particle physics. The lecture includes the interaction of particles with matter, scintillators, gas detectors, silicon detectors, detectors for particle ID and photo-detectors.
Demetri PsaltisResearch group
Teaching & PhD PhD Students Victoria Fay, Colin Nikhil Christian Past EPFL PhD Students Wuzhou Song, Alexandre Goy, Julien Cuennet, Ioannis Papadopoulos, Xin Yang, Grégoire Pierre Jean Laporte, Thomas Jean Victor Marie Lanvin, Seyyed Mohammad Hosseini Hashemi, Nicolino Stasio, Morteza Hasani Shoreh, Marilisa Romito, Pooria Hadikhani, Eirini Kakkava, Joowon Lim, Giulia Panusa, Ahmed Bassam Sayed Ayoub Mohamed Ayoub, Amirhossein Saba, Niyazi Ulas Dinç Past EPFL PhD
Janet Gordon HeringExpertise
Biogeochemical cycling of trace metals and metalloids Mineral weathering and reactions at mineral surfaces Water treatment processes for removal of inorganic contaminants
Education Massachusetts Institute of Technology/ Woods Hole Oceanographic Institution Joint Program, Cambridge, MA, Ph.D. in Oceanography, May1988. Harvard University, Cambridge, MA, A.M. in Chemistry, January 1981. Cornell University, Ithaca, NY, A.B. in Chemistry, June 1979.Professional Experience Swiss Federal Institute of A
Yoan René Cyrille CivetTeaching & PhD PhD Students Simon Holzer Past EPFL PhD Students as codirector Dan Shi, Jasha Poliakine, Jonathan Chavanne, Quentin Philippe Mario De Menech Courses Electrotechnics I MICRO-100 The course covers the basics of electrical circuits composed of linear components, in direct current (DC) operation. A series of transforming methods are studied. At the end of the semester, alternate current (AC) systems are treated (complex numbers). Many examples and demos illustrate the course.
Barbora Bártová2015 scientist in Environmental microbiology laboratory EML and Interdisciplinary centre for electron microscopy CIME - EPFL
2012-2015 senior fellow in Material science, Engineering department CERN
2008-2011 postdoctoral researcher in Interdisciplinary centre for electron microscopy CIME EPFL
2006-2007 postdoctoral researcher within the Marie Curie Research Training Network Multimat, University of Antwerp
Xile HuXile Hu was born in 1978 in Putian, southeastern China. He entered the Peking University in Beijing in 1996. Besides learning too little chemistry, his biggest regret in the college was not able to correct his southern accent in Mandarin. After graduated from PKU, he went to the United States and began his doctoral studies at the University of California, San Diego. In December 2004, he finished with a Ph.D. in chemistry and some fond memories of the beautiful city of San Diego. He then moved to the Los Angeles area and become a postdoctoral scholar at the California Institute of Technology. There he enjoyed numerous stimulating scientific (and other) discussions with friends and colleagues. He also made plenty of friends outside the campus and was a frequent in many local Chinese restaurants. In 2007, after two pleasant visits to Switzerland, he decided to move across the continent one more time and join the faculty of the École Polytechnique Fédérale de Lausanne (EPFL). He now directs the Laboratory of Inorganic Synthesis and Catalysis and is interested in developing chemistry for synthesis, energy and sustainability.
Emmanuel LantiTeaching & PhD Courses Parallel programming PHYS-743 Learn the concepts, tools and API's that are needed to debug, test, optimize and parallelize a scientific application on a cluster from an existing code or from scratch. Both OpenMP (shared memory) and MPI (distributed memory) paradigms are presented and experimented.