Aude BillardExpertise
Machine LearningRoboticsMechatronicsDynamical SystemsComputational Neuroscience
Enseignement et PhD Doctorant·es actuel·les Hanli Zhang, Maximilian Schmitz, Luyin Hu, Baiyu Peng, Erfan Etesami, Sthithpragya Gupta, Kuanqi Cai A dirigé les thèses EPFL de Eric Sauser, Sylvain Calinon, Micha Hersch, Florent Günter, Biljana Petreska von Ritter-Zahony, Basilio Noris, Elena Gribovskaya, Seyed Mohammad Khansari Zadeh, Seungsu Kim, Ashwini Shukla, Klas Jonas Alfred Kronander, Luka Lukic, Miao Li, Ravin L
Vassily HatzimanikatisEnseignement et PhD Doctorant·es actuel·les Denis Alain Henri Lucien Joly, Luca Milazzo, David Liaskos, Konrad Lagoda, Omar Keshk, Yigit Sibal, Ioannis Tzegiannakis A dirigé les thèses EPFL de Keng Cher Soh, Julien Racle, Noushin Hadadi, Stefano Andreozzi, Stepan Tymoshenko, Meriç Ataman, Joana Raquel Pinto Vieira, Tiziano Dallavilla, Yves Berset, Anush Chiappino-Pepe, Milenko Tokic, Tuure Eelis Hameri, Jasmin Maria Hafner, Homa Mohammadi Peyhani, Daniel Robert Weilandt, Zhaleh Hosseini, Sofia Tsouka, Mar
Roberto CastelloRoberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain.
In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment.
He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020).
Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).
Pina MarzilianoPina Marziliano obtained her Bachelors of Science degree in Applied Mathematics and Masters of Science degree in Computer Science in 1994 and 1996, respectively, from the Universite de Montreal. She completed the pioneering Doctoral School program in the Communications Systems Department at the EPFL in 1997 and obtained her PhD degree in 2001. Her professional career began as a Senior Research Engineer in a start-up company called Genimedia SA in Lausanne, Switzerland where she developed perceptual quality metrics for multimedia applications which led her to two highly cited (>100) journal and conference papers, as well as, the filing of a patent. In 2003, she became an Assistant Professor for the Division of Information Engineering in the School of Electrical and Electronic Engineering at the Nanyang Technological University in Singapore focusing her research in biomedical signal and image processing. In 2006, she was seconded to NTU’s International Relations Office for one year where she co-strategized the university international partnerships and conceptualised the Global Partnership Management and Analysis Tool. She received the IEEE Signal Processing Society 2006 Best Paper Award for the article entitled "Sampling Signals with Finite Rate of Innovation" co-authored with Martin Vetterli and Thierry Blu. Later that year patents on the same topic were acquired by Qualcomm Inc., USA, followed by consultancy work which led to obtaining US200KindustryresearchgrantfromQualcomm. In2009,aworkshopco−organisedbyNTU’sCollegeofEngineeringandTanTockSengHospitalandpartneroftheNTU−ImperialCollegeMedicalSchoolsparkedseveralresearchcollaborationswithdoctorsfromtheOphthalmologyDepartmentandDiagnosticRadiologyDepartmentwhichhaveledtojointinternationalconferenceandjournalpublications,significant(>SGD3M) joint research funding and a granted US patent. Apart from her research achievements, she has served as an Associate Editor for IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, a technical reviewer for more than a dozen international conference and Tier-1 journal publications, as well as, a Technical Program Committee member of international conferences and voted in as member of the highly selective Signal Processing Theory and Methods Technical Committee in the IEEE Signal Processing Society. She has served as the Chair of the IEEE Singapore Section Women In Engineering (WIE) Affinity Group where she spearheaded and co-organized monthly technical and social activities, thus increasing the group’s visibility in the IEEE Singapore Section. With her leadership and initiatives, the group received the 2009 Honourable Mention Women in Engineering Affinity Group of the Year Award from the IEEE WIE Committee in the USA. In 2011, she was the General Chair of the 9th International Conference on Sampling Theory and Applications, co-organised by the School of EEE and School of Physical and Mathematical Sciences, NTU. This interdisciplinary conference and flagship event of her research community was held for the first time in Asia on the NTU campus. It gathered 132 participants comprising of mathematicians, engineers and applied scientists from 26 countries around the globe. In 2012, she was tenured and promoted to Associate Professor at the Nanyang Technological University in Singapore. Besides pursuing her academic career, she has been actively involved in technology transfer and entrepreneurship co-founding a design company (PABensen) and a biotechnology spin-off BIORITHM. In 2019, Pina Marziliano was appointed Executive Director of the Centre for Biomedical Imaging (CIBM), a centre composed of five partner institutions HUG, UNIGE, EPFL, UNIL and CHUV located in a 50km radius of the Lemans region in Switzerland. The unique union of reputable clinicians, academics and researchers combined with the capabilities of developing cutting edge technology and housing the latest state-of-the art equipment, is her source of inspiration and drive in leading CIBM, a world reknowned Centre of Excellence in Biomedical Imaging. Prabhu Prasad SwainEducation Integrated M.Sc. (5 year) | Physics (majors)Chemistry, Biology, Mathematics and Electronics (minors) 2015 – 2020 UM-DAE Centre for Excellence in Basic Sciences, Mumbai
Jean-Marc OdobezEnseignement et PhD Doctorant·es actuel·les Vivek Samir Gupte, Yesmine Abdennadher, Samy Tafasca, Shalutha Navindu Rajapakshe Rajapakshe Mudiyanselage, Gökhan Özbulak, Karl El Hajal, Hasindri Sankalpana Watawana, Mingchi Hou, Pierre François Marie Vuillecard, João Pedro Gandarela de Souza, Anirban Mukherjee, Elija Maria Vida, Nawal Haidar, Mojtaba Nafez A dirigé les thèses EPFL de Jagannadan Varadarajan, Alexandre Heili, Samira Sheikhi, Kenneth Alberto Funes Mora, Do Hoang Nam Le, Christian Jaques, Yu Yu,
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.
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
Touradj EbrahimiTouradj EBRAHIMI received his M.Sc. and Ph.D., both in Electrical Engineering, from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1989 and 1992 respectively. In 1993, he was a research engineer at the Corporate Research Laboratories of Sony Corporation in Tokyo, where he conducted research on advanced video compression techniques for storage applications. In 1994, he served as a research consultant at AT&T Bell Laboratories working on very low bitrate video coding. He is currently Professor at EPFL heading its Multimedia Signal Processing Group. He is also the Convenor of JPEG standardization Committee. He was also adjunct Professor with the Center of Quantifiable Quality of Service at Norwegian University of Science and Technology (NTNU)between 2008 and 2012.
Prof. Ebrahimi has been the recipient of various distinctions and awards, such as the IEEE and Swiss national ASE award, the SNF-PROFILE grant for advanced researchers, Four ISO-Certificates for key contributions to MPEG-4 and JPEG 2000, and the best paper award of IEEE Trans. on Consumer Electronics . He became a Fellow of the international society for optical engineering (SPIE) in 2003. Prof. Ebrahimi has initiated more than two dozen National, European and International cooperation projects with leading companies and research institutes around the world. He is a co-founder of Genista SA, a high-tech start-up company in the field of multimedia quality metrics. In 2002, he founded Emitall SA, start-up active in the area of media security and surveillance. In 2005, he founded EMITALL Surveillance SA, a start-up active in the field of privacy and protection. He is or has been associate Editor with various IEEE, SPIE, and EURASIP journals, such as IEEE Signal Processing Magazine, IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, EURASIP Image Communication Journal, EURASIP Journal of Applied Signal Processing, SPIE Optical Engineering Magazine. Prof. Ebrahimi is a member of Scientific Advisory Board of various start-up and established companies in the general field of Information Technology. He has served as Scientific Expert and Evaluator for Research Funding Agencies such as those of European Commission, The Greek Ministry of Development, The Austrian National Foundation for Scientific Research, The Portuguese Science Foundation, as well as a number of Venture Capital Companies active in the field of Information Technologies and Communication Systems. His research interests include still, moving, and 3D image processing and coding, visual information security (rights protection, watermarking, authentication, data integrity, steganography), new media, and human computer interfaces (smart vision, brain computer interface).
He is the author or the co-author of more than 200 research publications, and holds 14 patents. Prof. Ebrahimi is a member of IEEE, SPIE, ACM and IS&T.
See the URL below for more details:
http://mmspl.epfl.ch 