Leonardo

Leonardo Tomasi Francis (M. Sc)


Personal

  • Data Engineer at BettrAds and researcher at the Laboratory for Software and Hardware Integration (LISHA)
  • Master student in Computer Science at Federal University of Santa Catarina (UFSC)
  • Curriculum Vitae at (Lattes)

Research Topics

  • Machine Learning for Failure Detection on Automotive ECUs;
    • Activities: Evaluation of different models using Knock Signals from ECU to detect faults; Data analysis of experiments that generates the dataset.
  • Liveness Detection on Video Inputs;
    • Activities: Evaluation of models using video inputs to detect real and fake inputs.

Publications

  • CUNHA, RENAN ; MEDEIROS DE ARAUJO, GUSTAVO ; MACIEL, RODRIGO ; NANDI, GIANN S. ; DAROS, MARINA R. ; CARDOSO, JOICE P. ; FRANCIS, LEONARDO T. ; RAMOS, VINICIUS F.C. ; MARCELINO, RODERVAL ; FROHLICH, ANTONIO AUGUSTO . Applying Non-destructive Testing and Machine Learning to Ceramic Tile Quality Control. In: 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC), 2018, Salvador. 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC), 2018. p. 54. DOI
  • T. FRANCIS, LEONARDO; CATALDO SCHARLAU, CÉSAR . Estudo Experimental De Um Sistema De Controle Para Integração Eficiente Da Iluminação Natural E Artificial. In: Congresso Brasileiro de Automática 2020, 2020. Anais do Congresso Brasileiro de Automática 2020, 2020. v. 2. DOI
  • T. FRANCIS, LEONARDO; PIEROZAN, VICTOR; GRACIOLI, GIOVANI, M. DE ARAUJO; GUSTAVO. Data-driven Anomaly Detection of Engine Knock Based on Automotive ECU; In: 2022 XII Brazilian Symposium on Computing Systems Engineering (SBESC), 2022, Fortaleza. 2022 XII Brazilian Symposium on Computing Systems Engineering (SBESC), 2022. DOI

Contact

UFSC/CTC/LISHA
88865-000 Nova Veneza - SC - BRAZIL
E-mail: leonardotfrancis@gmail.com francis@lisha.ufsc.br