Seminário DF, CEFITEC, LIBPhys: CERN - technology innovation and applications

Orador: Doutor Tiago Araújo

CERN - technology innovation and applications

At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. They use the world's largest and most complex scientific instruments to study the basic constituents of matter – the fundamental particles. The particles are made to collide together at close to the speed of light. The process gives the physicists clues about how the particles interact, and provides insights into the fundamental laws of nature. To achieve this, CERN is constantly expanding the frontiers of technology and innovation in three main domains: particle detectors, particle accelerators and computing/simulations.  The Knowledge Transfer group at CERN (in some organizations also known as technology transfer office) aims to engage with experts in science, technology and industry in order to create opportunities for the transfer of CERN’s technology and know-how. The ultimate goal is to accelerate innovation and maximise the global positive impact of CERN on society. This is done by promoting and transferring the technological and human capital developed at CERN. The CERN KT group promotes CERN as a centre of technological excellence, and promotes the positive impact of fundamental research on society.

Tiago will give you an overview of CERN activities and achievements with focus on the process of knowledge transfer and technologies successfully transferred from CERN to society. 
Short CV:

After pursuing his PhD on electronic methodologies for human electrophysiology applications, Tiago Araújo joined the Knowledge Transfer group at CERN back in July 2015. Previously, he worked at Plux - Wireless Biosignals (Portugal), as a Hardware Engineer for 5 years. In this company he assumed development roles in broad areas of digital and analog electronics. From 2012 to 2014, Tiago was an invited Professor in FCT-UNL (Portugal), lecturing the Applied Electronics course. He was also co-supervisor of 6 master thesis in the field of biosignal acquisition and processing.