Diego GhezziProf. Diego Ghezzi holds the Medtronic Chair in Neuroengineering at the School of Engineering at the Ecole Polytechnique Fédérale de Lausanne. He received his M.Sc. in Biomedical Engineering (2004) and Ph.D. in Bioengineering (2008) from Politecnico di Milano. From 2008 to 2013, he completed his postdoctoral training at Istituto Italiano di Tecnologia in Genova at the Department of Neuroscience and Brain Technologies; where he was promoted to Researcher in 2013. In 2015, he was appointed as Tenure-Track Assistant Professor of Bioengineering at the EPFL Center for Neuroprosthetics and Institute of Bioengineering.
Gian Luca BarbruniGian Luca Barbruni achieved his BSc and his MSc in Biomedical Engineering with specialisation in Biomedical Instrumentation at the Politecnico di Torino in 2017 and 2019, respectively.During his master thesis, supervised by Prof. Danilo Demarchi from Politecnico di Torino and titled “Body Dust: Feasibility study on signal transmission for sub-100μm-size active wireless biosensors”, he spent a semester of research at Integrated Circuit Laboratory (ICLAB) of Neuchâtel under the supervision of Prof. Sandro Carrara from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He discusses about the feasibility on creating an UltraSound (US) communication circuit to wirelessly transmit outside the body diagnostic information from multiplexed biosensors chip built on the top layer of a drinkable CMOS “Body Dust” cube. The results of the feasibility study have been published showing promising results with sub-10 µW of power consumption and a total chip area of 43 x 44 µm2.He was a Research Assistant at the Department of Electronic Engineering (DET) of Politecnico di Torino.Actually he is conducting his PhD focusing on design and fabrication of analog and digital circuits for ultra-miniaturized CMOS for vision prosthesis, directed by Prof. Diego Ghezzi at Medtronic Chair in Neuroengineering in Geneva and co-directed by Prof. Sandro Carrara at ICLAB in Neuchâtel.
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.
