Christoph KochExpertise
knows everything ;-)
Publications
My publications in Google ScholarMy publications in DBLPMy papers on EPFL's publications server (InfoScience)Prospective PhD students and postdocs please read this before contacting me.
Christoph Koch is a professor of Computer Science at EPFL, specializing in data management. Until 2010, he was an Associate Professor in the Department of Computer Science at Cornell University. Previously to this, from 2005 to 2007, he was an Associate Professor of Computer Scienc
Alessandro PauTeaching & PhD PhD Students Peizheng Zhang, Jean-Pierre Thomas Svantner, Cristina Venturini, Paul Véronique Guillaume Devianne Courses Control and Operation of Tokamaks PHYS-748 This course treats the main issues in operation and control of a tokamak. Control-oriented models are derived and controllers are designed using techniques from modern control theory. Operational limits are discussed as well as state-of-the-art research questions for future reactors.
Emmanuel Pierre Jean RavaletExpertise
Urban StudiesTransportation EconomyUrban sociology Daily mobilitiesUrban segregationLatin America / West Africa cities
Teaching & PhD Past EPFL PhD Students as codirector Lorris Tabbone, Derek Pierre Christie
Rémi Guillaume PetitpierreTeaching & PhDDigital urban history: Lausanne Time Machine HUM-450, HUM-454 - Teaching assistant. Website
Paolo BenettinI was born in Padova, Italy, in 1986. After high school, I started the Environmental Engineering program at the University of Padova (Bachelor and Master), where I followed the 'soil protection' curriculum. During my Master studies I spent a semester as Erasmus student at Wageningen University (Wageningen, the Netherlands) to follow courses in Hydrology. After graduation, I decided to bring my education further and I started a Ph.D. at the civil and environmental engineering department at the University of Padova. My Ph.D. thesis focused on hydrologic transport and travel time distributions at the catchment scale. My contribution to the subject included both new theoretical formulations and extensive numerical applications to real catchments. During my Ph.D., I also spent 7 months as visiting research fellow at Virginia Tech University (Blacksburg, USA). Since I arrived at EPFL as post-doc in 2015, I started being involved in field and experimental activities, which allowed me to learn about practical experimental problems. In 2017 I had the opportunity to by hired by the ECHO laboratory as a permanent scientist, conducting research in the field of catchment hydrology.
Benjamin Alexander Kellenberger2020–: Postdoctoral Researcher, EPFL, Sion, Switzerland2020: Postdoctoral researcher, Wageningen University, Netherlands2017–2020: PhD (cont'd); Wageningen University, Netherlands2016–2017: PhD; University of Zurich, Switzerland2009–2014: BSc. and MSc. in geography (remote sensing and GIS) and computer science; University of Zurich, Switzerland
Daniel Alexander Florez OrregoExpertise
• Exergy and Energy Integration of Chemical and Industrial Processes• Cogeneration and Polygeneration, Refrigeration and Heat Pumping Systems• Technical, Economic and Environmental Analyses• Refineries, Biorefineries, Fertilizers Complexes, Hydrogen and Synthetic Fuels (SNG, DME, MeOH, FT, H2, Power-to-X)• Second law of Thermodynamics and Irreversible Thermodynamics• Combustion, Heat Transfer, Computational Fluid Dynamics, Reaction design• Modeling and Optimization of Energy Conversion Systems• Ma
Mackenzie MathisCenter for NeuroprostheticsEPFL ELLIS Unit Faculty MemberCenter for Intelligent Systems
Athanasios NenesTeaching & PhD PhD Students Berkay Dönmez, Ernest Abboud Past EPFL PhD Students Paraskevi Georgakaki, Lucile Ricard Courses Atmospheric processes: from cloud to global scales ENV-407 The main objective is to present important atmospheric processes from the local to global scales. The course will start with cloud processes, continue to synoptic phenomena like extratropical cyclones and fronts, to finally cover numerical modeling at the regional and global scales. Introduction to environme
Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Giovanni De CesareExpertise
Numerical simulation and physical modeling of hydraulic works and schemes; reservoir sedimentation and turbidity currents; reservoir sediment management; Ultrasonic Doppler flow measurement; river training work and restoration; soil bioengineering and nature based solutions; fluvial eco-morphology; rapid transients in pressurized waterways; technology transfer, commissioned studies and expert reports in applied hydraulics, hydraulic constructions and infrastructures; organization of continuous edu
Mor-Miri MishkovskyI am a chemist, graduated Cum Laude in 2002 from Tel Aviv University in Israel. I obtained a PhD in Physical Chemistry from the Weizmann Institute of Science in Israel on the development of new technology for rapid detection of nuclear magnetic resonance (NMR) spectroscopic data aiming at reducing the measurement time from hours to a fraction of second with Prof. Lucio Frydman. My thesis “Methodological Developments in Ultrafast Multidimensional NMR” granted me the Auto Swartz excellence award in 2007. Since 2009 I am working with the Laboratory of Functional and Metabolic Imaging at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, on the development of hyperpolarized (HP) magnetic resonance spectroscopy (MRS) methodologies for monitoring biochemical processes in real-time.My research is focused on the development of Magnetic Resonance (MR) Molecular Imaging by dissolution dynamic nuclear polarization (dDNP). HP agents to interrogate biochemical processes in real-time are applied in vivo in the healthy brain and disease models, aiming at improving our understanding of cerebral function and metabolism toward better clinical diagnostics and therapy.
