Luiz Antônio Zanlorensi

Luiz Antônio Zanlorensi has a diverse work experience in the field of machine learning and computer vision. Luiz Antônio currently works as a Machine Learning Software Engineer at DeepNeuronic since 2022. Prior to this, they worked at Natosafe as a Data Scientist and Computer Vision Researcher starting in 2020.

During their time at Universidade da Beira Interior from 2019 to 2020, Luiz worked as a Visiting Research Scientist and conducted research on disentanglement representations and GAN-based frameworks for automatic image editing. Luiz Antônio also developed a preprocessing step based on these techniques to enhance biometric systems' performance.

Before that, they were a Doctoral Researcher at CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior from 2016 to 2020, focusing on deep learning techniques for eye biometrics, specifically iris and periocular region recognition. Luiz Antônio'sresearch covered various topics such as biometric systems and metrics, deep representations, generative models, and auto-encoders.

Luiz also worked as a Graduate Research Fellow at CAPES from 2014 to 2016, further enriching their research experience. Luiz Antônio began their career as an Undergraduate Student Researcher at Fundacao Araucaria, where they worked from 2010 to 2014.

Overall, Luiz has developed a strong expertise in machine learning, computer vision, and biometric systems through their research and professional experiences.

Luiz Antônio Zanlorensi's education history begins with their Bachelor's degree in Informatics from the Universidade Estadual de Ponta Grossa, which they earned from 2009 to 2013. Following this, they pursued a Master's degree in Applied Computing with a focus on Computing, Automation, and Data Management in Agriculture at the same university from 2014 to 2016. Subsequently, they attended the Universidade Federal do Paraná, where they completed their PhD in Informatics specializing in Pattern Recognition and Biometrics from 2016 to 2021.