Allan Pinto

Allan Pinto

Research Leader

CNPEM/LNLS

About Me

I’m a Researcher and Group Leader at the Brazilian Synchrotron Light Laboratory (LNLS), which is part of the Brazilian Center for Research in Energy and Materials (CNPEM) and responsible for operating the Sirius particle accelerator. I received my Bachelor’s degree in Computer Science from the University of São Paulo (USP), Brazil (2011), and earned my Master’s (2013) and Ph.D. (2018) degrees in Computer Science from the University of Campinas (Unicamp). Part of my doctoral studies was conducted at the University of Notre Dame, USA, where I worked on topics such as presentation attack detection in biometric systems, content-based image retrieval, and multimedia forensics.

I currently lead the Data Science and Management Group at LNLS, focusing on the development of solutions in data science, scientific data management, artificial intelligence, machine learning, computer vision, and high-performance computing, applied to the analysis of experimental data from synchrotron radiation. I serve as a reviewer for journals and conferences in the field and I’m an active member of the IEEE Signal Processing Society (IEEE SPS), serving on the Education Board, where I contribute to international educational initiatives.

Interests
  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Computer Vision
  • High-Performance Machine Learning
  • Synchrotron Radiation Applications
  • X-ray Data Analysis
Education
  • PhD in Computer Science, 2018

    University of Campinas (IC/Unicamp)

  • MSc in Computer Science, 2013

    University of Campinas (IC/Unicamp)

  • BSc in Computer Science, 2011

    University of São Paulo (ICMC/USP)

Recent Publications

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(2024). DeepWave: A Software Stack for Parallelizing Deep Learning Models Used in Geophysics . 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

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Awards

Measuring Airport Activity from Sentinel-2 Imagery to Support Decision-Making during the Pandemic
Best Computer Science Ph.D. Thesis of the IC/Unicamp in 2018.

Contact

  • allan.pinto@lnls.br
  • +55 (19) 3518-2594
  • Rua Giuseppe Máximo Scolfaro, 10.000, Polo II de Alta Tecnologia de Campinas, Campinas, SP 13083-100
  • Data Science and Management Group is located at the LNLS building.