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)

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.

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

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