Giovanni De MicheliExpertise
Technologies de conception pour les systèmes intégrés, tels que la synthèse, le codesign de HW/SW et la conception de basse puissance. Technologies de conception des systèmes sur les plateformes hétérogènes comprenant les composants électriques, et biologiques.
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Enseignement et PhD A dirigé les thèses EPFL de Abhishek Garg, Mohamed Haykel Ben Jamaa, Francesco Zanini, Ciprian Seiculescu, Cristina Boero, Hu Xu, Andrea Cavallini, Shashi Kanth Francesca RodinoExpertise
Electrochemical BiosensorsSensors and Biosensors interfaces | front-end electronicsBiomedical circuits and systems
RechercheOther Tavakolidakhrabadi, A., Domange, T., Nalm, C., Rodino, F., Meimandi, A., Bessire, C., & Carrara, S. (2024). A Novel Microfluidic System for Capacitive Detection via Magnetophoretic Separation of Malaria-Infected Red Blood Cells. IEEE Sensors Letters. DOI: 10.1109/LSENS.2024.3451238Barbruni, G. L., Rodino, F., Ros, P. M., Demarchi, D., Ghezzi, D., & Carrara, S. (2024). A
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.
Olivier VerscheureEnseignement et PhD Cours Data science pour ingénieurs avec Python ENG-209 Ce cours propose une immersion progressive et complète dans le domaine de la Data Science à travers le langage Python. Il guide les étudiants depuis la manipulation de données brutes jusqu'à la modélisation et l'extraction de connaissances utiles à partir de données réelles. Large-scale data science for real-world data COM-490 Ce cours pratique couvre outils et méthodes des data scientists, de la reche
Diego Ruben BarrettinoDiego Barrettino 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), Switzerland, in 2004. From 1997 to 2000, he worked in Allegro MicroSystems, Inc., where he was an Analog IC Designer of Hall-effect magnetic sensors. From 2000 to 2004, he was a Research Assistant at ETHZ. In 2004, he was a Postdoctoral Research Associate in the Universit
Mohamed BouriDr. Mohamed Bouri is a group leader of Rehabilitation and Assistive Robotics in LSRO and lecturer of Robotics and Industrial Robotics. He graduated in Electrical Engineering in 1992 and obtained his PhD degree in 1997 in Industrial Automation at INSA LYON, France. Since 1997, he is at EPFL and is mainly active in the field of robot control, automation and robot design for medical and industrial applications. He is the head of Rehabilitation and Assistive Robotics group since 2005 and has strong references with the development of robotic devices for lower limb rehabilitation : The MotionMaker and WalkTrainer commercialzed by the company Swortec. His ongoing research currently focuses on the development of exoskeletons and the associated control strategies. His main current projects are TWIICE, a lower limb exoskeleton for people with paraplegia, AUTONOMYO, a walk assistance exoskeleton for people with muscle weakness, and the HiBSO, a hip orthosis for elderly.
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.
