Maher KayalMaher Kayal received M.S. and Ph.D degrees in electrical engineering from the Ecole Polytechnique Fédérale de Lausanne (EPFL, Switzerland) in 1983 and 1989 respectively. He has been with the Electronics laboratories of the Ecole Polytechnique Fédérale de Lausanne (EPFL, Switzerland) since 1990, where he is currently a professor and director of the Energy Management and Sustainability" section. He has published many scientific papers, coauthor of three text books dedicated to mixed-mode CMOS design and he holds eleven patents. His technical contributions have been in the area of analog and Mixed-signal circuits design including highly linear and tunable sensors microsystems, signal processing and green energy management. Prizes and Honors : Electronics Letters journal Premium Award 2013, Outstanding Paper Award? IEEE Mixdes 2013 Basil Papadias paper Award, IEEE Powertech 2013 Best Paper Awards, Mixdes 2013 Best Paper Awards, ICCAS 2012 Outstanding Paper Award- IEEE Mixdes 2012. Poland Section IEEE ED Chapter special award in 2011. Credit Suisse Award for Best Teaching- 2009. The William M. Portnoy Award at the Energy Conversion Congress and Exposition , California Sept 2009. Best Paper Award - IEEE-Mixdes 2009. High Quality Paper - IEEE Power Tech Conference June 2009. Best Paper Award - IEEE-Mixdes 2007. Best Paper Award - IEEE-TTTC International Conference on Automation, Quality and Testing, Robotics - 2006. Best Application Specific Integrated Circuit at the International European Design and Test Conference ED&TC - 1997. Ascom Award for the Best Work in Telecommunication Fields 1990. Publications Books. Books: Methodology for the Digital Calibration of Analog Circuits and Systems, Marc Pastre & Maher Kayal. Springer Publisher- (ISBN 1-4020-4252-3)-2006. Structured Analog CMOS Design, Danica Stefanovic & Maher Kayal. Springer Publisher-(ISBN 978-1-4020-8572-7)-2008. Linear CMOS RF Amplifiers for Wireless Applications, Maher Kayal, Springer Publisher. (ISBN 978-90-481-9360-8)-2010. Coeditor of Microelectronics Education Kluwer Academic Publishers. (ISBN 1-4020-2072-4). -2004.
Auke IjspeertAuke Ijspeert is a full professor at the EPFL, and head of the Biorobotics Laboratory (BioRob). He has a B.Sc./M.Sc. in physics from the EPFL (1995), and a PhD in artificial intelligence from the University of Edinburgh (1999). He carried out postdocs at IDSIA and EPFL, and at the University of Southern California (USC). He then became a research assistant professor at USC, and an external collaborator at ATR (Advanced Telecommunications Research institute) in Japan. In 2002, he came back to the EPFL as an SNF assistant professor. He was promoted to associate professor in October 2009 and to full professor in April 2016. His primary affiliation is with the Institute of Bioengineering, and secondary affiliation with the Institute of Mechanical Engineering. His research interests are at the intersection between robotics, computational neuroscience, nonlinear dynamical systems, and machine learning. He is interested in using numerical simulations and robots to get a better understanding of sensorimotor coordination in animals, and in using inspiration from biology to design novel types of robots and adaptive controllers. (see for instance Ijspeert et al Science 2007, Ijspeert Science 2014, and Nyakatura et al Nature 2019). He is also investigating how to assist people with limited mobility using exoskeletons and assistive furniture. He is regularly invited to give talks on these topics (e.g. TED talk given at TED Global Geneva, Dec 8 2015). With his colleagues, he has received paper awards at ICRA2002, CLAWAR2005, IEEE Humanoids 2007, IEEE ROMAN 2014, CLAWAR 2015, SAB2018, and CLAWAR 2019. He is an IEEE Fellow, member of the Board of Reviewing Editors of Science magazine, and associate editor for the IEEE Transactions on Medical Robotics and Bionics and for the International Journal of Humanoid Robotics. He has acted as an associate editor for the IEEE Transactions on Robotics (2009-2013) and for Soft Robotics (2018-2021). He was a guest editor for the Proceedings of IEEE, IEEE Transactions on Biomedical Engineering, Autonomous Robots, IEEE Robotics and Automation Magazine, and Biological Cybernetics. He has been the organizer of 7 international conferences (BioADIT2004, SAB2004, AMAM2005, BioADIT2006, LATSIS2006, SSRR2016, AMAM2019), and a program committee member of over 50 conferences.
David Atienza AlonsoDavid Atienza Alonso is an associate professor of EE and director of the Embedded Systems Laboratory (ESL) at EPFL, Switzerland. He received his MSc and PhD degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for multi-processor system-on-chip (MPSoC) servers and edge AI architectures. Dr. Atienza has co-authored more than 350 papers, one book, and 12 patents in these previous areas. He has also received several recognitions and award, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He has also earned two best paper awards at the VLSI-SoC 2009 and CST-HPCS 2012 conference, and five best paper award nominations at the DAC 2013, DATE 2013, WEHA-HPCS 2010, ICCAD 2006, and DAC 2004 conferences. He serves or has served as associate editor of IEEE Trans. on Computers (TC), IEEE Design & Test of Computers (D&T), IEEE Trans. on CAD (T-CAD), IEEE Transactions on Sustainable Computing (T-SUSC), and Elsevier Integration. He was the Technical Program Chair of DATE 2015 and General Chair of DATE 2017. He served as President of IEEE CEDA in the period 2018-2019 and was GOLD member of the Board of Governors of IEEE CASS from 2010 to 2012. He is a Distinguished Member of ACM and an IEEE Fellow.
Felix SchürmannFelix Schürmann is co-director of the Blue Brain Project and involved in several research challenges of the European Human Brain Project. He studied physics at the University of Heidelberg, Germany, supported by the German National Academic Foundation. Later, as a Fulbright Scholar, he obtained his Master's degree (M.S.) in Physics from the State University of New York, Buffalo, USA, under the supervision of Richard Gonsalves. During these studies, he became curious about the role of different computing substrates and dedicated his master thesis to the simulation of quantum computing. He studied for his Ph.D. at the University of Heidelberg, Germany, under the supervision of Karlheinz Meier. For his thesis he co-designed an efficient implementation of a neural network in hardware.
