Power2Drive Innovation & Application Stage - Thursday, August 29

Professor Gustavo Doubek holds a degree in Chemical Engineering from the University of Campinas - UNICAMP and a PhD in Nuclear Technology - Materials from the Institute of Nuclear and Energy Research - IPEN/USP, having worked as a visiting researcher at YALE University - USA and as a product developer at 3M in the R&D&I area. He is currently an Associated Professor at the University of Campinas and researcher at the Center for Innovation in New Energies - CINE in the Advanced Energy Storage division. He has experience in the design and synthesis of nanomaterials applied to energy conversion and storage devices and product innovation processes. He works mainly on the following topics: Development of batteries and Fuel Cells for energy storage and conversion, Biofuel reformers and synthesis of catalysts and functional materials with several projects both with public and private funding.

Suellen Ribeiro has a degree in Electrical Engineering from the Federal University of Santa Catarina (UFSC), and after graduating she studied Electric Mobility: Policies, Planning and Business Opportunities at the State University of Campinas (UNICAMP). Throughout her career in the energy sector, she has worked as a researcher at the Electricity Systems Planning Laboratory (LABPLAN/UFSC) on the Synchronized Fasor Measurement (MedFasee) project, with the aim of monitoring the National Electricity System (SIN) in real time. She currently works for Intelbras, a highly qualified professional focused on developing innovative solutions for the electric mobility sector. With experience in the design and development of power supplies, lead-acid batteries, lithium batteries and charging infrastructure for electric vehicles, she also works closely with the sector's specific standards and regulations, thus ensuring that all the projects developed meet the required safety and performance standards.

Rafael Cunha is an Electrical Engineer from the Federal University of Santa Catarina and writes the 'Electric Vehicles' column for FotoVolt magazine. He has several years' experience in projects for industrial installations, as well as in projects to implement an electrical work safety regulatory standard (NR-10) and is also a member of the study commission currently developing the NBR 17019 standard. Rafael is a co-founder of and the director of operations at movE Eletromobilidade, which provides technological solutions for managing the charging controls of electric vehicles.

Dr. Rafael Augusto Seixas Reis de Paula is responsible for searching new R&D project opportunities for Fundep (Fundação de Apoio da FUNDEP). His job encompasses the interaction among government, universities, and private firms (startups and/or established firms). He has deep expertise in energy transition, mainly managing R&D programs for the Oil & Gas and Automotive sectors in Brazil. He is also responsible for the Low Carbon Hydrogen workforce in the Brazilian Unitiy of the WEC (World Energy Council).

Robson Ferreira da Cruz is a Mechanical Engineer, with a postgraduate degree in Automotive Engineering and currently pursuing a master's degree in Mechanical Engineering. He has extensive experience in the automotive sector, having worked in multinational companies such as DANA, BOSCH, VW, DAIMLER, and THYSSENKRUPP, focusing on engine management system calibration, internal combustion and electric engine development, and numerical simulation. He has led engineering teams in R&D projects for clients like VOLVO, AUDI, PORSCHE, and TOYOTA. Robson has also been a university professor in the fields of Quality, Statistics, and Industrial Technology. He is a member of LEVE at UNICAMP, the Society of Automotive Engineers (SAE), and coordinates the Infrastructure Working Group of the Electromobility Committee at AEA. Robson is also co-founder of Barassa & Cruz Consulting and Otsmah - Sustainable Energy Resources, which focuses on advanced telemetry and second-life battery use. He has developed algorithms for estimating the state of Li-ion batteries using Machine Learning and Artificial Intelligence techniques.