PhD in Mechatronics from the University of Campinas (FEM/UNICAMP). Visiting scholar at the Sensor Fusion group, Linköping University (LiU, Sweden). Master in Automation from the University of Campinas (FEEC/UNICAMP). Bachelor in Electrical Engineering from the Peruvian University of Applied Sciences (UPC, Peru). Professional with senior expertise in information and communication technologies (Poland, Peru). Researcher in […]

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She is a Research Engineer in Computer Vision in the AI Team of ActiveEon, Paris Office. Her main focus is on the development of advanced solutions for computer vision problems with a focus on image understanding, object detection and image segmentation. In addition, I have been engaged at the development of the Machine Learning Open […]

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He is the Global Artificial Intelligence Manager from Vale S.A. He is responsible to leverage AI culture and utilization to foster decision driven by data across global corporation, translating business challenges into AI solutions. He manages teams delivering AI portfolio in Brazil, Canada, Africa and Indonesia. He holds a Graduation on System Analyst and Information […]

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He is a Machine Learning researcher with an emphasis on Reinforcement Learning and Multiagent Learning. He holds M.Sc. and Ph.D. degrees from the University of São Paulo (USP). Between 2018-2019 he was a member of the Learning Agents Research Group (LARG) at the University of Texas at Austin, USA, with Prof. Peter Stone. Leno has […]

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Flavio S. Correa da Silva completed his BEng in Industrial Engineering at the University of São Paulo (Brazil) in 1984, his MEng in Civil Engineering/Transportation Planning at the same university in 1989, and his PhD in Artificial Intelligence at the University of Edinburgh (UK) in 1992. He has been full time lecturer at the University […]

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Leandro Augusto da Silva is a Computer Engineer with a PhD in Systems Engineering from the School of Engineering of the University of São Paulo (Politécnica/USP). He is currently Adjunct Professor at the School of Computing and Informatics at Mackenzie University. He works on artificial neural networks, pattern recognition, data mining, machine learning and big […]

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He holds a Ph.D. in Computer Vision and Machine Learning from University of La Rochelle, France. During the Ph.D. he was mainly focused on the application and development of advanced matrix and tensor methods for robust low-rank/sparse representation and subspace learning of multidimensional and streaming data, such as moving object detection and background-foreground separation in […]

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