Tobias KippenbergTobias J. Kippenberg is Full Professor of Physics at EPFL and leads the Laboratory of Photonics and Quantum Measurement. He obtained his BA at the RWTH Aachen, and MA and PhD at the California Institute of Technology (Caltech in Pasadena, USA). From 2005- 2009 he lead an Independent Research Group at the MPI of Quantum Optics, and is at EPFL since. His research interest are the Science and Applications of ultra high Q microcavities; in particular with his research group he discovered chip-scale Kerr frequency comb generation (Nature 2007, Science 2011) and observed radiation pressure backaction effects in microresonators that now developed into the field of cavity optomechanics (Science 2008). Tobias Kippenberg is alumni of the “Studienstiftung des Deutschen Volkes”. For his invention of “chip-scale frequency combs” he received he Helmholtz Price for Metrology (2009) and the EFTF Young Investigator Award (2010). For his research on cavity optomechanics, he received the EPS Fresnel Prize (2009). In addition he is recipient of the ICO Prize in Optics (2014), the Swiss National Latsis award (2015), the German Wilhelm Klung Award (2015) and ZEISS Research Award (2018). He is fellow of the APS and OSA, and listed since 2014 in the Thomas Reuters highlycited.com in the domain of Physics. EDUCATION 2009: Habilitation (Venia Legendi) in Physics, Ludwig-Maximilians-Universität München 2004: PhD, California Institute of Technology (Advisor Professor Kerry Vahala) 2000: Master of Science (Applied Physics), California Institute of Technology 1998: BA in Physics, Technical University of Aachen (RWTH), Germany 1998: BA in Electrical Engineering, Technical University of Aachen (RWTH), Germany ACADEMIC POSITIONS 2013 - present: Full Professor EPFL 2010 - 2012: Associate Professor EPFL 2008 - 2010: Tenure Track Assistant Professor, Ecole Polytechnique Federale de Lausanne 2007 - present: Marie Curie Excellent Grant Team Leader, Max Planck Institute of Quantum Optics (Division of Prof.T.W. Hänsch) 2005 - present: Leader of an Independent Junior Research Group, Max Planck Institute 2005- present: Habilitant (Prof. Hänsch) Ludwig-Maximilians-Universität (LMU) 2005-2006: Postdoctoral Scholar, Center for the Physics of Information, California Institute of Technology 2000-2004: Graduate Research Assistant, California Institute of Technology PRIZES AND HONORS: ZEISS Research Award 2018 Fellow of the APS 2016 Klung-Wilhelmy Prize 2015 Swiss Latsis Prize 2014 Selected Thomson Reuters Highly Cited Researcher in Physics, 2014/2015 ICO Prize, 2013 EFTF Young Scientist Award (for "invention of microresonator based frequency combs") 2010 Fresnel Prize of the European Physical Society (for contributions to Optomechanics) 2009 Helmholtz Prize for Metrology (for invention of the monolithic frequency comb) 2009 1st Prize winner of the EU Contest for Young Scientists, Helsinki, Finland. Sept. 1996 Jugend forscht 1st Physics Prize at the German National Science Contest May 1996 FELLOWSHIPS Fellow of the German National Merit Foundation ("Studienstiftung des Deutschen Volkes") 1998-2002 Member of the Daimler-Chysler-Fellowship-Organization 1998-2002 Dr. Ulderup Fellowship 1999-2000 RESEARCH INTERESTS Experimental and theoretical research in photonics, notably high Q optical microcavities and their use in cavity quantum optomechanics and frequency metrology PUBLICATIONS AND OFTEN CITED METRICS*: >70 Publications in peer reviewed journals Researcher Google Profile: http://scholar.google.ch/citations?user=PRCbG2kAAAAJ&hl=en h-Index 54 (Google scholar H: 64, >25,000 citations) Thomson Reuters/Claravite List of Highly Cited Researchers (2014,2015,2016,2017) careful in its use: https://www.aps.org/publications/apsnews/201411/backpage.cfm KEY PUBLICATIONS AND REVIEWS: A. Ghadimi, et al. Elastic strain engineering for ultra high Q nanomechanical oscillators Science, (2018) Trocha, et al. Ultrafast distance measurements using soliton microresonator frequency combs Science, Vol. 359 (2018) [joint work with C. Koos] Pablo-Marin et al. Microresonator-based solitons for massively parallel coherent optical communications Nature (2017) [joint work with C. Koos] V. Brasch, et al. Photonic chip-based optical frequency comb using soliton Cherenkov radiation. Science, vol. 351, num. 6271 (2015) Aspelmeyer, M., Kippenberg, T. J. & Marquardt, F. Cavity optomechanics. Reviews of Modern Physics 86, 1391-1452, (2014) Wilson, D. J. et al. Measurement and control of a mechanical oscillator at its thermal decoherence rate. Nature (2014). Verhagen, E., Deleglise, S., Weis, S., Schliesser, A. & Kippenberg, T. J. Quantum-coherent coupling of a mechanical oscillator to an optical cavity mode. Nature 482, 63-67 (2012). Kippenberg, T. J., Holzwarth, R. & Diddams, S. A. Microresonator-based optical frequency combs. Science 332, 555-559, (2011). Weis, S. et al. Optomechanically induced transparency. Science 330, 1520-1523 (2010). Kippenberg, T. J. & Vahala, K. J. Cavity optomechanics: back-action at the mesoscale. Science 321, 1172-1176, (2008). Del'Haye, P. et al. Optical frequency comb generation from a monolithic microresonator. Nature (2007) Schliesser, A., DelHaye, P., Nooshi, N., Vahala, K. & Kippenberg, T. Radiation Pressure Cooling of a Micromechanical Oscillator Using Dynamical Backaction. Physical Review Letters 97, (2006). Pascal FrossardTeaching & PhD PhD Students Yiming Qin, Alba Carballo Castro, Elisa Messori, Ke Wang, Sevda Ögüt, Tuna Alikasifoglu, William Cappelletti, Manuel Madeira, Mahdi Amiri, Ortal Yona Senouf, Vasiliki Rizou, Cem Bilaloglu, Abdellah Rahmani, Amel Abdelraheem, Jérémy Jean Philippe Baffou, Adam Hazimeh, Vincent Jung, Yike Zhao Past EPFL PhD Students Dan Jurca, Jean-Paul Wagner, Ivana Radulovic, Ivana Tosic, Effrosyni Kokiopoulou, Zafer Arican, Vijayaraghavan Thirumalai, Tamara Tosic, Eirina Bourtsoulatze, Elif Vur
Keivan Faghih NiresiExpertise
Computational sensing/imaging, Inverse problems, Signal processing, Graph neural networks, Domain adaptation.
Keivan is a PhD student at école Polytechnique Fédérale de Lausanne (EPFL). He joined the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink in February 2023.Prior to joining EPFL, he obtained his master's degree from the Institute of Communications Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua Univer
Mathew Magimai DossTeaching & PhD PhD Students Karl El Hajal, Tilak Purohit Past EPFL PhD Students as codirector Ramya Rasipuram, Marzieh Razavi, Hannah Muckenhirn, Sandrine Tornay, Subrahmanya Pavankumar Dubagunta, Enno Hermann, Julian David Fritsch, Neha Tarigopula, Mostaani Zohreh, Eklavya Sarkar Courses Automatic speech processing EE-554 The goal of this course is to provide the students with the main formalisms, models and algorithms required for the implementation of advanced speech processing applicat
Michaël UnserExpertise
Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution
Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,
Hervé LissekExpertise
Acoustics and audio engineering, Electroacoustics.Room acoustics.Active noise control.Acoustic metamaterials.Assisted reverberation.Psychoacoustics.Sound spatialization
Expertise
Acoustics and audio engineering, Electroacoustics.Room acoustics.Active noise control.Acoustic metamaterials.Assisted reverberation.Psychoacoustics.Sound spatialization
Mission
Head of the Acoustic Group at the Laboratory of Wave Engineering LWE. Research topics :Active Electroacoustic Resonators: turning conventional lou
André AnjosExpertise
Reproducible ResearchPattern RecognitionImage ProcessingMachine LearningBiometrics
Short bio
André Anjos received his Ph.D. degree in signal processing in 2006 studying the application of neural nets and statistical methods for particle recognition in the context of High-Energy Physics experiments at Large Hadron Collider at CERN, Switzerland. He joined the Idiap Research Institute in 2010 where he works with biosignal processing and biometrics applications. He currently heads the Biosignal Proces
Petr MotlicekTeaching & PhD PhD Students Shashi Kumar Past EPFL PhD Students as codirector Subhadeep Dey, Weipeng He, Juan Pablo Zuluaga Gomez Courses Digital Speech and Audio Coding EE-719 The goal of this course is to introduce the engineering students state-of-the-art speech and audio coding techniques with an emphasis on the integration of knowledge about sound production and auditory perception through signal processing techniques.
Arman MaghsoudniaEducation Electrical Engineering | 2018 – 2023 Sharif University of Technology
Teaching & PhDCOM-405 | Mobile networks This course provides a detailed description of the organization and operating principles of mobile and wireless communication networks, as well as the use of wireless signals for sensing and imaging.COM-304 | Intelligent systems: communications & AI The course teaches the development of systems that solve real-world challenges in communications, signal processing, foundati
Alexandre SchmidAlexandre Schmid received the M.Sc. degree in microengineering and the Ph.D. degree in electrical engineering from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1994 and 2000, respectively. Since 1994, he has been with the EPFL, working with the Integrated Systems Laboratory as a Research and Teaching Assistant, and with the Electronics Laboratories as a Postdoctoral Fellow. In 2002, he was a Senior Research Associate with the Microelectronic Systems Laboratory, where he has been conducting research in the fields of bioelectronic interfaces and implantable biomedical electronics, nonconventional signal processing and neuromorphic hardware, and reliability of nanoelectronic devices, and also teaches with the Microengineering and Electrical Engineering Departments of EPFL. Since 2011, he is a Maître d'Enseignement et de Recherche (MER) Faculty Member with EPFL. He is a coauthor of two books, Reliability of Nanoscale Circuits and Systems, Methodologies and Circuit Architectures, Springer, 2011, and Wireless Cortical Implantable Systems, Springer, 2013, and a coeditor of one book, as well as over 100 articles published in journals and conferences.
Dr. Schmid has served as the General Chair of the Fourth International Conference on Nano-Networks in 2009 and has been serving as an Associate Editor of the Institute of Electrical, Information, and Communication Engineers Electronics Express since 2009.
Cédric MeinenTeaching & PhD Courses Electrical systems and electronics I EE-295 The course has the aim to provide the fundamental knowledge and experiences to understand basic electrical systems. Electrical systems and electronics II EE-296 The basic concepts enabling to understand and analysis the electronic systems dedicated to signals acquisition and processing (e.g. biosensors, physiological signals, ECG) are addressed. This includes the acquisition, amplification and filtering. El
Iva Tkalcec VâjuTeaching & PhD Past EPFL PhD Students as codirector Lucas Degeneve Courses Physics lab (metrology) PHYS-117 This course is a practical introduction to classical measurement techniques in a physics laboratory. It aims at familiarising the students with data acquisition, sensors, signal processing, vacuum and cryogenics. Physics lab IIIa PHYS-319 The students observe a number of physical phenomena and their technological applications. The course aims at acquiring knowledge abou
Jan SkaloudExpertise
Satellite positioning, inertial and integrated navigation Sensor orientation and calibration, attitude determination Mobile mapping, airborne laser scanning Adjustment methods, Kalman Filtering
Mission
Teaching in 3 EPFL sections and 2 faculties, director of ESO lab.
Books / Monographs J. Skaloud and M. Cramer, «Data Capture,» in GIS Handbook, W. Kresse and D. Danko, Eds. Springer, 2011. D. Lichti and J. Skaloud, «Registration and Calibration,» in Airborne and terrestrial laser scanning, H.-G. Ma
Devis TuiaI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
Hervé BourlardTeaching & PhD Past EPFL PhD Students Astrid Hagen, Katrin Weber, Todd Stephenson, Jitendra Ajmera, Shajith Ikbal, Mathew Magimai Doss, Mohamed Faouzi Benzeghiba, Mark Barnard, Yann Rodriguez, Hemant Misra, Christos Dimitrakakis, Guillaume Lathoud, Alexei Pozdnoukhov, Agnès Just, Mikaela Keller, Norman Hoon Thian Poh, Dong Zhang, Florent Monay Michaud, Pedro Manuel Da Silva Quelhas, Kevin Smith, Silèye Oumar Ba, Bertrand Mesot, Hamed Ketabdar, David Grangier, Guillermo Aradilla, Jean-François Paiement, Nico
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.
Olivier VerscheureSWISS DATA SCIENCE CENTER
Housed at both EPFL and ETH Zurich, the newly created Swiss Data Science Center (SDSC) will address the fragmentation within today's data and analytics landscapes. The SDSC will be composed of a distributed multi-disciplinary team of data scientists and experts in domains including personalized health and personalized medicine, transportation, earth and environmental science, social science and digital humanities, and economics. The center aims to federate data providers, data and
Sébastien MarcelExpertise
image processing, pattern recognition, machine learning, biometrics
Current work
Face recognitionSpeaker recognitionMobile biometrics ( http://www.mobioproject.org )Spoofing ( http://www.tabularasa-euproject.org )Biometrics evaluation and testing ( http://www.beat-eu.org )
Sébastien Marcel is the head of the Biometrics group and senior research scientist at the Idiap Research Institute (CH), where he leads a research team and conducts research on biometrics and more particularly face recognition, Stefano CodaTeaching & PhD PhD Students Vincent Masson, Luigi Persico, Ewout Koen L. Devlaminck, Martino Bonisolli, Alessandro Balestri, Mackenzie Peter-Fulford Van Rossem, James Winston Irawati Tumbokon, Salomon Guinchard, Inès Vergara, Michele Bottino Past EPFL PhD Students Alessandro Marinoni, Silvano Gnesin, Cornelis Adrianus de Meijere, Josef Kamleitner, Zhouji Huang, Himank Anand, Pedro Andres Molina Cabrera, Dahye Choi, Federico Pesamosca, Aylwin Iantchenko, Jean Arthur Cazabonne
