Myrto LimniosTeaching & PhD Courses Empirical processes MATH-522 We learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning. Regression methods MATH-408 General graduate course on regression methods
Edoardo CharbonEdoardo Charbon (SM’00 F’17) received the Elektrotechnik Diploma from ETH Zurich, the M.S. from the University of California at San Diego, and the Ph.D. from the University of California at Berkeley in 1988, 1991, and 1995, respectively, all in electrical engineering and EECS. He has consulted with numerous organizations, including Bosch, X-Fab, Texas Instruments, Maxim, Sony, Agilent, and the Carlyle Group. He was with Cadence Design Systems from 1995 to 2000, where he was the architect of the company's initiative on information hiding for intellectual property protection. In 2000, he joined Canesta Inc., as the Chief Architect, where he led the development of wireless 3-D CMOS image sensors. Since 2002 he has been a member of the faculty of EPFL, where is a full professor since 2015. From 2008 to 2016 he was full professor and chair at the Delft University of Technology, where he spearheaded the university's effort on cryogenic electronics for quantum computing as part of QuTech. He has been the driving force behind the creation of deep-submicron CMOS SPAD technology, which is mass-produced since 2015 and is present in smartphones, telemeters, proximity sensors, and medical diagnostics tools. His interests span from 3-D vision, LiDAR, FLIM, FCS, NIROT to super-resolution microscopy, time-resolved Raman spectroscopy, and cryo-CMOS circuits and systems for quantum computing. He has authored or co-authored over 400 papers and two books, and he holds 23 patents. Dr. Charbon is a distinguished visiting scholar of the W. M. Keck Institute for Space at Caltech, a fellow of the Kavli Institute of Nanoscience Delft, a distinguished lecturer of the IEEE Photonics Society, and a fellow of the IEEE.
Andrés Ignacio Cristi EspinosaExpertise
- Online Algorithms & Sequential Decision-Making- Algorithmic Game Theory- Mechanism & Market Design
Teaching & PhD PhD Students Jiechen Zhang, Aruzhan Amanbayeva Courses Algorithmic game theory MGT-435 We will study mathematical models of the interplay between algorithms and strategic behavior. We cover fundamental concepts from game theory and mechanism design, including Nash equilibria, the price of anarchy, auctions and market design, incentive compatibility, and online learn
Claudio BruschiniClaudio Bruschini holds an MSc in high energy physics from the University of Genova and a PhD in Applied Sciences from the Vrije Universiteit Brussel (VUB). He started his career with INFN (Italy, 1993), in the WA92 CERN collaboration (particle physics), and then moved to CERN as a Fellow in the European GP-MIMD2 project, attached to the NA48 collaboration (particle physics, parallel programming, 1994-1995). He then started his close collaboration with EPFL, first in the DeTeC (Demining Technology Center) project (sensors for landmine detection/humanitarian demining, 1996-1997). After DeTeC's end, he started the first of a series of fruitful collaborations with the Vrije Universiteit Brussel (VUB) on humanitarian demining related R&D (1998). This was followed by the EUDEM survey project (The European Union in Humanitarian Demining, 1998), the EUDEM2 three year EC sponsored support measure (www.eudem.info, 2001-2004), and the DELVE support action (www.delve.vub.ac.be, 2007). In parallel he started working within the EPFL's AQUA group (Advanced Quantum Architectures, Edoardo Charbon), on topics as diverse as ultrasonic sensors for in-air application, optical 3D and high speed 2D sensing, sensor networks, or tracking/motion capture systems, in particular for the preparation of research projects. This culminated in the European MEGAFRAME (www.megaframe.eu, FP6, 2006-2010, SPAD arrays and related in-pixel time stamping electronics in deep submicron CMOS technology) and SPADnet (www.spadnet.eu, FP7, 2010-2014, networked SPAD arrays for Positron Emission Tomography) projects, coordinated by EPFL-AQUA. As from 2009 he also worked with Dario Floreano on the management of the CURVACE Curved Artificial Compound Eyes FP7 project (www.curvace.org), coordinated by EPFL-LIS. He was also active with CHUV (Lausanne University Hospital) within EndoTOFPET-US (endoscopic PET) as well as on a CTI project devoted to the development of a new hand-held standalone tool for tracer-guided medical procedures. In 2014 he had also the pleasure of joining the EPFL ICLAB of Christian Enz during its ramp-up phase, collaborating on device related topics (SNF GigaRadMOST) and biomedical R&D (NanoTera WiseSkin). Claudio is now fully with EPFL’s Advanced Quantum Architecture (AQUA). He has also been active as independent scientific consultant, under the label CBR Scientific Consulting, on the preparation of (European) R&D project proposals and the execution of individual studies, and worked in 2006 for a local start-up as operations manager and R&D advisor.... but this is another story. An unauthorized early biography is available at http://lami.epfl.ch/team/claudiob/... Olivier SchneiderAfter his thesis defense in particle physics in 1989 at University of Lausanne, Olivier Schneider joins LBL, the Lawrence Berkeley Laboratory (California), to work on the CDF experiment at the Tevatron in Fermilab (Illinois), first as a research fellow supported by the Swiss National Science Foundation, and later as a post-doc at LBL. He participates in the construction and commissioning of the first silicon vertex detector to operate successfully at a hadron collider; this detector enabled the discovery of the sixth quark, named "top". Since 1994, he comes back to Europe and participates in the ALEPH experiment at CERN's Large Electron-Positron Collider, as CERN fellow and then as CERN scientific staff. He specializes in heavy flavour physics. In 1998, he becomes associate professor at University of Lausanne, then extraordinary professor at the Swiss Institute of Technology Lausanne (EPFL) in 2003, and finally full professor at EPFL in 2010. Having worked since 1997 on the preparation of the LHCb experiment at CERN's Large Hadron Collider, which started operation in 2009, he is now analyzing the first data. He also contributes since 2001 to the exploitation of the data recorded at the Belle experiment (KEK laboratory, Tsukuba, Japan). These two experiments study mainly the decays of hadrons containing a b quark, as well CP violation, i.e. the non-invariance under the symmetry between matter and antimatter.
Younes Pierre ZineExpertise
I mainly work on (deterministic and random) nonlinear PDEs by using techniques and insights from PDE theory, probability theory and Fourier analysis.My website:https://younes-zine.github.io
Expertise
I mainly work on (deterministic and random) nonlinear PDEs by using techniques and insights from PDE theory, probability theory and Fourier analysis.My website:https://younes-zine.github.io
Education Ph.D. | 2020 – 2023 The University of Edinburgh 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.
Patrick ThiranPatrick Thiran is a full professor in network and systems theory at the School of Computer and Communication Sciences at EPFL. He holds an electrical engineering degree from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, an M.Sc. degree in electrical engineering from the University of California at Berkeley, USA, and he received the PhD degree from EPFL, in 1996. He became an adjunct professor in 1998, an assistant professor in 2002, an associate professor in 2006 and a full professor in 2011. He was with Sprint Advanced Technology Labs in Burlingame, California, in 2000-01.
His research interests are in communication and social networks, performance analysis and stochastic models. He is currently active in the analysis and design of wireless and PLC networks (scaling laws, medium access control), in network monitoring (network tomography, multi-layer networks), and data-driven network science. He also contributed to network calculus and to the theory of locally coupled neural networks and self-organizing maps.
He served as an associate editor for the IEEE Transactions on Circuits and Systems in 1997-99 and for the IEEE/ACM Transactions on Networking in 2006-10. He is currently on the editorial board of the IEEE Journal on Selected Areas in Communication. He is/was on the program committee of different conferences in networking, including ACM Sigcomm, Sigmetrics, IMC, CoNext and IEEE Infocom. He was TPC chair of AMC IMC 2011 and CoNext 2012. He is a Fellow of the Belgian American Educational Foundation and of the IEEE. He received the 1996 EPFL Doctoral Prize and the 2008 Crédit Suisse Teaching Award.
Mohammad Amin ShokrollahiAmin Shokrollahi has worked on a variety of topics, including coding theory, computational number theory and algebra, and computational/algebraic complexity theory. He is best known for his work on iterative decoding algorithms of graph based codes, an area in which he holds a number of granted and pending patents. He is the co-inventor of Tornado codes, and the inventor of Raptor codes. His codes have been standardized and successfully deployed in practical areas dealing with data transmission over lossy networks.
Prior to joining EPFL, Amin Shokrollahi has held positions as the chief scientist of Digital Fountain, member of the technical staff at Bell Laboratories, senior researcher at the International Computer Science Insitute in Berkeley, and assistant professor at the department of computer science of the university of Bonn. He is a Fellow of the IEEE, and he was awarded the Best Paper Award of the IEEE IT Society in 2002 for his work on iterative decoding of LDPC code, the IEEE Eric Sumner Award in 2007 for the development of Fountain Codes, and the joint Communication Society/Information Theory Society best paper award of 2007 for his paper on Raptor Codes.
Michael Christoph GastparMichael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008.
He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands.
His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience.
He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.
Lesya ShchutskaCurrent Work
Our research is focused on testing the boundaries of the Standard Model of particle physics and on looking for new phenomena which might explain unanswered puzzles in the fundamental description of the Universe. The examples of such puzzles would be dark matter nature, matter-antimatter asymmetry of the Universe or very small but non-zero neutrino masses.The main instrument for these tasks is the LHCb detector at CERN, where the analyses of the data collected in the LHC proton-proton collisions
Annechien Sarah HelsdingenDr. Anne Helsdingen works as course developer and project manager, developing massive open online courses at the center for digital education from EPFL in Lausanne. Anne has nearly 20 years of experience in human factors research, training and training development, academic teaching and (research) management. Her experience in training and education is rich and varied and includes training critical thinking strategies to various civil and military organizations; designing training programs for military aircrews; developing specifications for artillery training simulators; design, develop and conduct blended learning programs for military commanders; and teaching psychology to bachelor and master students. Anne’s research focuses on learning complex cognitive skills such as reflection, critical thinking and decision-making. She has worked in many international multi-disciplinary research teams, commissioned, for instance, by NATO Research and Technology Organisation or the European Union. Having worked both in academia and in contract research provides her with ample experience in both applied and more fundamental research projects. In her pervious role as research director for Effat University in Saudi Arabia, she managed a diversified team of researchers and substantially contributed to the university’s scientific development by actively shaping and defining the university’s research structure and strategies.
Jieping ZhuTeaching & PhD PhD Students Morgane Elodie Marie Delattre, Paul Jean Gri, Clément Paul Adrien Rols, Yun Hao Shawn Teh Past EPFL PhD Students Jean-Baptiste Gualtierotti, Ala Bunescu, Thomas Buyck, Olivier Wagnières, Minh Tu Ha, Dylan Jean Robert Dagoneau, Antonin François Roland Clemenceau, Cyril Piemontesi, Nicolas David Gaeng, Mathias Mamboury, Raphaël Beltran, Balázs Budai, Teerawat Songsichan, Alexandre Julien Florent Leclair, Bastien Delayre, Rémi Julien Sylvain Andres, Dina Boyarskaya, Rémi Lavernhe,
Bryan Alexander FordLinks
DEDIS lab home pagePersonal home page
Curriculum vitae https://bford.info/cv.pdf
Teaching & PhD PhD Students Shailesh Mishra Past EPFL PhD Students Eleftherios Kokoris Kogias, Kirill Nikitin, Cristina Basescu, Enis Ceyhun Alp, Simone Colombo, Pasindu Nivanthaka Tennage, Louis-Henri Manuel Jakob Merino Past EPFL PhD Students as codirector David Froelicher, Ludovic Barman, Georgia Fragkouli Courses Decentralized systems engineering CS-438 A decentralized system is one that works when n Francesco GramugliaFrancesco Gramuglia received the MEng degree in Electronics and Electrical Engineering from the Politecnico di Milano in 2016. From 2015 to 2016 he was a trainee in the STORMlab of Vanderbilt University, Nashville, Tennessee, where he worked on the development of robotic endoscope platforms. In 2016 he received the Best Application Prize and Overall Winner at Surgical Robot Challenge during the Hamlyn Symposium on Medical Robotics at Imperial College, London, 2016. Since 2017, he has been pursuing a Ph.D. degree at the EPFL in the Advanced Quantum Architecture laboratory (AQUA) under the advising of Prof. Edoardo Charbon and Claudio Bruschini, PhD. His research is focused on the design of SPAD based CMOS image sensors and system development for use in biomedical applications, e.g. Time-of-flight Positron emission tomography (TOFPET).
Mike SeidelTeaching & PhD PhD Students Simon Fanica Buijsman, Jesús Avila Pulido, Ingrid Midtbust Hjelle, Maria Paula Rey Barrera, Raziyeh Dadashi Motlagh, Zdenek Vostrel, Evan James Ericson, Yi Wu, Lode Vanhecke, Roberta Provvedi, Adam Mark Furman, Aikaterini Nikou, Felix Höfenstock, Ludovica Bertolozzi, Simone Giroldi Past EPFL PhD Students Marco Hartmann, Péter Kicsiny, Rongrong Cai, André Donadón Servelle, Longdi Zhu, Sofia Carolina Johannesson, Vera Korchevnyuk, Nicolas Vallis, Elias Walter Waagaard, Christophe
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
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.
Pierre VandergheynstPierre Vandergheynst received the M.S. degree in physics and the Ph.D. degree in mathematical physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education. His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing. He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference. Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.
Loïc Jean Pierre HerviouTeaching & PhD Courses Solid state physics III PHYS-419 The aim of this course is to provide an introduction to the theory of a few remarkable phenomena of modern condensed matter physics ranging from the quantum Hall effects to superconductivity.
