Experience

 
 
 
 
 

Assistant Professor

PUC-Rio

Feb 2018 – Present Rio, Brazil
Research areas include machine learning applied to modeling dynamical systems and control, data-driven predictive modeling and advanced process control.
 
 
 
 
 

Research Staff Member

IBM Research

Dec 2016 – Jan 2018 Rio, Brazil
Researcher of the IBM Research lab in Brazil - Rio. Responsible for data-driven predictive analytics applied to natural resources (oil & gas and mining industries).
 
 
 
 
 

Product Development Engineer

Embraer SA

Dec 2014 – Dec 2016 BH, Brazil

I Received my PhD while working at Embraer. I was a member of Embraer’s team on modeling and simulation of aeronautical dynamic systems.

During this period I focused mainly on pneumatic and hydromechanical aeronautical systems, developing first-principles and data-driven models to perform analysis on braking, taxiing, and environmental control. I was also part of the team on Prognostics and Health Monitoring (PHM) solutions for environmental control systems of the new E2-jets.

 
 
 
 
 

Auxiliary Professor

PUCPR

Feb 2013 – Jul 2013 Curitiba, Brazil
Discrete-time signal processing theory.
 
 
 
 
 

Researcher

LACTEC

Sep 2012 – Aug 2013 Curitiba, Brazil
Development of R&D projects, mainly with time series forecasting, global optimization and smart grids.
 
 
 
 
 

Researcher

LACTEC

Sep 2009 – Aug 2010 Curitiba, Brazil
Development of R&D projects, mainly with time series forecasting, global optimization and smart grids.
 
 
 
 
 

Internship

ZF Friedrichshafen A.G.

Feb 2009 – Jul 2009 Friedrichshafen, Germany
Online model adaptation and control strategies for self-locking limited-slip differentials.

Projects

CNPq Universal 4303952018-3

Efficient Real-time Muscle Deflection Tracking based on Myokinetic Sensors and Artificial Neural Networks for Prosthetic Control.

TTiLT

Through-Tubing Logging Tool for Cement Quality Evaluation in Multistring Wells

Contact