Tatiana PieloniExpertise
Beam dynamics in accelerators.Colliders luminosity and beam-beam interactions.Collective effects.
Teaching & PhD PhD Students Yi Wu, Lode Vanhecke Past EPFL PhD Students as codirector Xavier Buffat, Claudia Tambasco Courses Advanced concepts in particle accelerators PHYS-751 Accelerator physics covers a wide range of very exciting topics. This course presents basic physics ideas and the technologies underlying the workings of modern accelerators. An overview of the new ideas and
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.
Frank VöhringerExpertise
Climate economicsEnvironmental economicsEnergy economicsComputable general equilibrium modeling
Teaching & PhD Past EPFL PhD Students as codirector Sophie Maire, Takafumi Usui Courses Models for applied environmental economics ENV-723 Mainly based on the discussion of peer reviewed academic papers, the course introduces non economists to the main types of applied models used in environmental economic analysis: linear programming, partial and general equilibrium, game theory, and ag
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
Radhakrishna AchantaExpertise
Image Processing, Computer Vision, and Machine Learning
Radhakrishna Achanta has a PhD in computer science from EPFL, an MSc from NUS, Singapore, and a BEng from India. He has over 20 years of industrial and academic experience in the capacities of an individual contributor as well as a manager. His domains of expertise are Computer Vision, Image Processing, and Machine Learning. He has authored over 50 peer reviewed papers and patents, which have more than 23’000 citations. He has co-founded 4 st
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.
Jun Ho YumTeaching & PhD Past EPFL PhD Students as codirector Barbara Alexandra Primera Darwich, Simon Nussbaum Courses Energy conversion by semiconductor devices CH-429 This course aims to present an introduction to the fundamentals of semiconductor physics, photophysics,photoelectrochemistry,and the practical applications.
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.
Diego Ruben BarrettinoDiego Barrettino (S’93–M’98–SM’06) received the Dipl.-Ing. degree in Electronic Engineering from the University of Buenos Aires, Argentina, in 1997, and the Ph.D. degree in Electrical Engineering from the Swiss Federal Institute of Technology Zurich (ETHZ) in 2004.
He worked at Allegro MicroSystems Inc., from 1997 to 2000, where he was an Analog IC Designer of Hall-effect magnetic sensors. From 2000 to 2004, he was a Ph.D. student and Research Assistant at ETHZ, where he designed chemical and mechanical sensors. In 2004, he moved to the USA where he designed biomedical devices first as a Post-Doctoral Research Associate in the University of Washington, and then as an Assistant Professor in the University of Hawaii. In 2006, he returned to Europe where he joined the Swiss Federal Institute of Technology Lausanne (EPFL) as a Senior Research Scientist for the design and development of biosensors using organic nanotransistors. From 2007 to 2009, he was a Senior Lecturer in the University of Glasgow, U.K., and in the University College Cork, Republic of Ireland, where he designed ultra-low power biomedical devices. From 2009 to 2017, he was Full Professor and Head of the Laboratory of Microelectronics, Bioelectronics and Sensor Systems (LMBS) at the University of Applied Sciences of Southern Switzerland (SUPSI), where he designed smart contact lenses and eye implants. In 2017, he joined both the Lucerne University of Applied Sciences (HSLU) and EPFL as a part-time Senior Research Scientist to continue his work on smart sensor systems.
His research interests are in the fields of physical, chemical, and biomedical microsensors; sensor fusion algorithms; analog and mixed-signal IC design; MEMS; embedded systems; avionics and bioelectronics.
Diego Barrettino is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the American Institute of Aeronautics and Astronautics (AIAA) and a member of the American Association for the Advancement of Science (AAAS).
Sandy IngramExpertise
Programming Languages (C, SQL, Ruby, Rails, Java, Javascript)Recommendation algorithmsSocial media design for collaborative work
Sandy's research is mainly focused on the design and development of Personal Learning Environments and contextual recommender systems. Currently working on the Jumpers CTI project.Also involved in the STELLAR Network of Excellence in Technology Enhanced Learning(EU, FP7). Among other things, she chaired the program for JTEL Winter School 2011.Worked on the ROLE Project (
Amir Roshan ZamirAmir Zamir is a Tenure-Track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology in Lausanne (EPFL). Prior to EPFL, he spent time at Stanford, UC Berkeley, and UCF. His research interests are broadly in computer vision, machine learning, perception-for-robotics, and AI. He has been recognized with CVPR (2018) Best Paper Award, CVPR (2016) Best Student Paper Award, CVPR (2020) Best Paper Award Nomination, and NVIDIA Pioneering Research Award (2018), among others. His research has been covered by various press outlets, such as The New York Times or Forbes.
