Victor GrimblattVictor has an engineering diploma in microelectronics from Institut Nationale Polytechnique de Grenoble (INPG – France) and an electronic engineering diploma from Universidad Tecnica Federico Santa Maria (Chile). He is doing his PhD on IoT for Smart griculture at IMS lab University of Bordeaux. He is currently R&D Group Director and General Manager of Synopsys Chile, leader in Electronic Design Automation (EDA). He opened the Synopsys Chile R&D Center in 2006. He has expertise and knowledge in business and technology and understands very well the trends of the electronic industry; therefore, he is often consulted for new technological business development. Before joining Synopsys, he worked for different Chilean and multinational companies, such as Motorola Semiconductors, Honeywell Bull, VLSI technology Inc., and Compass Design Automation Inc. He started to work in EDA in 1988 in VLSI Technology Inc. where he developed synthesis tools being one of the pioneers of this new technology. He also worked in embedded systems development in Motorola semiconductors. He has published several papers in IoT, EDA and embedded systems development, and since 2007 he has been invited to several Latin American Conferences (Argentina, Brazil, Chile, Mexico, Peru and Uruguay) to talk about Circuit Design, EDA, IoT, and Embedded Systems. From 2006 to 2008 he was member of the “Chilean Offshoring Committee” organized by the Minister of Economy of Chile. In 2010 he was awarded as “Innovator of the Year in Services Export”. In 2012 he was nominated to best engineer of Chile. He is also member of several Technical Program Committees on Circuit Design and Embedded Systems. Since 2012 he is chair of the IEEE Chilean chapter of the CASS. He is also the President of the Chilean Electronic and Electrical Industry Association (AIE) Victor Grimblatt was professor of Electronics and IC Design in Universidad de Chile and Universidad de los Andes. Victor’s research areas are EDA (Electronic Design Automation), and Smart Agriculture applying Machine Learning, Artificial Intelligence, and IoT. Read More Read Less