Pedro Benevenuto Valadares

Graduated in Electrical Engineering from the State University of Campinas (UNICAMP), with a final score of 8/10, and additional training in telecommunications and artificial intelligence. Experienced in signal processing, deep learning, and complex-valued neural networks applied to MIMO systems. Currently part of the Communications Laboratory at UNICAMP (COMLAB), conducting research on next-generation wireless communications. Recently published the preprint "Complex Valued Neural Networks for Ultra Reliable Massive MIMO", exploring the integration of complex-valued neural networks with dimensionality reduction methods to enhance efficiency, robustness, and performance in massive MIMO systems. Published scientific papers in national conferences, covering topics such as machine learning applied to audio analysis and innovative channel estimation techniques. Professional experience at Ericsson, working in data analysis, mobile network optimization, and process automation. Developed solutions using SQL, Power BI, Python, and predictive modeling, with a focus on Big Data and artificial intelligence applied to telecommunications networks.Engaged in academic and social initiatives, including participation in the IEEE Student Branch UNICAMP, where he taught programming to children , and in the 3E Unicamp junior enterprise, contributing to the development of embedded software for microcontrollers and prototyping of electronic projects.Research interests include Reconfigurable Intelligent Surfaces (RIS), MIMO systems, beamforming techniques, neural networks, and digital signal processing, with a focus on the advancement of next-generation wireless communication technologies. (Source: Lattes Curriculum)