Francois Danneville

François Danneville received the Ph.D. degree in electronics and the Habilitation à Diriger les Recherches from the Lille1 University of Sciences and Technology, Villeneuve-d’Ascq, France, in 1991 and 1999, respectively. Until 2000, he was an Assistant Professor with Lille1 University. He has studied the noise of III–V devices operating in linear and nonlinear operations (in LNA, mixer, and oscillator). In 1998, on the aforementioned research topic, he made one year sabbatical as a Visitor Scientist in HP (nowadays Keysight Technologies), Santa Rosa, CA, USA. Since 2001, he has been a Full Professor with Lille University, where his research has focused on the small (large) signal and noise properties in high-frequency range (centimeter and millimeter waves) of advanced silicon technologies (CMOS and SiGe HBTs), including alternative architectures and circuit design. He has authored over 160 articles in international journals and conferences in these areas and has supervised 24 Ph.D. students (2 on-going). Since 2014, his research work has been focusing on the development of an ultralow-power silicon CMOS artificial neuron (published in Frontiers in Neuroscience, March 2017) and is currently focusing on the integration (scaling) of this new neuromorphic technology within neural networks. His research areas of interest (to cite a few) are biocomputing, smart visual and hearing sensors, electronic systems for neural recording and stimulation, and fluctuations and noise in artificial and biologic neural systems.