Wagston Staehler

Wagston Staehler

Professor

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location of Wagston StaehlerPorto Alegre, Rio Grande do Sul, Brazil

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  • Timeline

  • About me

    Data Scientist at HP

  • Education

    • Universidade Federal do Rio Grande do Sul

      2005 - 2007
      Master’s Degree Digital Circuits Design, Digital Video Processing, Digital TV
    • Federal University of Rio Grande do Sul

      2000 - 2005
      Engineer’s Degree Computer Engineering, Microelectronics, Digital Signal Processing
    • Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble

      2003 - 2004
      3ème Année (Brafitec Student Exchange Program) Telecommunications Electronics and Systems, Digital Circuits Design, DSP, Image Processing
  • Experience

    • ULBRA

      Feb 2007 - Feb 2009
      Professor

      Professor - Computer Science FacultyLectures on Algorithms and Programming I and II (also lab work) and Operating Systems

    • LaPSI - Laboratório de Processamento de Sinais e Imagens

      Mar 2007 - Mar 2008
      Research Engineer

      Worked on video compression implemented in hardware for digital TV systems.Relevant topics were digital image processing, H.264 encoding and FPGA design.

    • CEITEC S.A

      May 2009 - May 2014
      Digital IC Designer

      Digital Circuits Design for RFID and smartcard solutions (e-passport).Main responsibilities were C and Matlab modeling, logic synthesis and simulation, digital hardware design, implementation on programmable logic (FPGA) and embedded software.

    • HP

      Jun 2014 - now
      Software Engineer

      Started as hardware engineer responsible for prototyping non-volatile memory systems and for designing a memory encryption system in hardware, a collaborative work with HP Bristol, UK.After that, started to act as technical leader for several software projects, going from embedded systems to mobile applications (Android), responding first to Immersive Computing Business Unit, then to HP Labs and now to Transformation Organization.Developed projects on Ambient Computing, Smart Homes, Voice Recognition and Chatbots. Lead a project on Printed Electronics with an external partner.Developed projects on Machine Learning for resource constrained devices, where optimization and efficiency are paramount, including robotics.Currently working on analytics and forecasting. Show less

  • Licenses & Certifications