
Leonardo Rocha
Product Engineer

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About me
Chief Researcher in SENAI Innovation Institute
Education

Universidade Federal do Rio Grande do Sul / UFRGS
2002 - 2004Master's degree Mechanical EngineeringActivities and Societies: Applied Mechanics Group (GMAP). Dissertation: "Study and Analysis of Room Acoustics Submitted to Audio Systems".Supervisor: Alberto Tamagna, Dr.

Universidade Federal de Santa Catarina
2006 - 2010PhD Mechanical EngineeringActivities and Societies: Laboratory of Vibrations and Acoustics (LVA). Thesis: "Strategies for Noise Reduction in Automotive Hydraulic Pump".Supervisor: Samir N. Y. Gerges

Universidade Federal do Rio Grande do Sul / UFRGS
1992 - 1999Graduated Electrical Engineering
University of Bath
2008 - 2009Visiting Researcher Mechanical EngineeringActivities and Societies: Centre for Power Transmission and Motion Control (PTMC). Research in automotive hydraulic pump design aiming hydraulic noise reduction (theoretical-practical research). Supervisor: Nigel Johnston, Dr.
Experience

DHB - Componentes Automotivos SA
Jan 2004 - Sept 2012Product EngineerProduct Engineer, Project Leader, Product Development, Product Cost Reduction, NVH Expert.Engenheiro de produto, Líder de projetos, Desenvolvimento de produtos, Redução de Custos, Engenheiro de teste de NVH

Universidade do Vale do Rio dos Sinos
Jan 2011 - Jan 2018ProfessorPost-Graduation Course. MBE in Maintenance Management. Condition Based-Monitoring Using Vibration Analysis.

Univates
Jan 2014 - Jan 2016Courses: Electrical and Mechanical EngineeringSubjects: Room Acoustics, Mechanical Vibrations, Applied Electricity. Electrical Engineering Graduation Course
Professor
Jan 2013 - Jan 2016Coordinator
Jan 2014 - Jan 2015

LZR | Tecnologia em Manutenção Preditiva
Jan 2015 - Jan 2019FounderHandheld Vibration Data Acquisition device development. Machine Health Monitoring service provider.

Senseye
Feb 2019 - Aug 2020Knowing the future of maintenance. Senseye means PdM 2.0. Trusted by Fortune 500 industrial companies, Senseye™ is the leading cloud-based product for Predictive Maintenance 2.0. It is used by maintenance teams to half unplanned downtime and increase maintenance efficiency, saving money by using proprietary machine-learning algorithms to automatically forecast machine failure and remaining useful life, achieving a typical ROI of less than 3 months.
Condition Monitoring Specialist
Apr 2019 - Aug 2020Pre-Sales Senior Engineer
Feb 2019 - Apr 2019

Instituto SENAI de Inovação em Sistemas de Sensoriamento
Aug 2020 - nowRD&I projects management. Hardware, Software, Condition monitoring, Data acquisition systems, AI, Computer vision, Autonomous vehicles.
Chief Researcher
Mar 2023 - nowResearcher
Aug 2020 - Feb 2023
Licenses & Certifications

Qualificado e Certificado em Análise de Vibração - Especialista N3
FUPAI - em acordo com ISO 18436.2 e ASNT-TC-1ASept 2013- View certificate

Applied Machine Learning: Feature Engineering
LinkedInDec 2020
Languages
- poPortuguês
- inInglês
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