Guilherme Prudente da Silva

• Created automated tests for the PJ-SAS embedded system's basis software (BSW) , focusing on key hardware features and software features (CAN/CANopen, firmware updates via CAN) using C and C#. • Implemented a software to interact with the micro Lab Car and Printed Circuit Board (PCB), read values, send commands, run tests, and generate reports. • Collaborated with PJ-SAS to address issues in the Application Software (ASW) by automating the testing process for each new BSW iteration.

• Analyzed TRL 5 requirements and designed a test procedure to evaluate the SVA's software readiness. • Tested CANopen protocol features using the CANopen Conformance Test Tool (CTT) from the CAN in Automation (CiA) group. • Developed an automatic testing process using Structured Language (ST) in a Programable Logic Computer (PLC) for reproducibility and application to other devices. • Identified critical software issues, providing actionable recommendations to achieve TRL 5 certification.

• Developed a computer vision algorithm to detect circles in images and calibrate machine deviation. • Created machine learning models in Python to adapt to various manufacturing scenarios. • Built C# software to save test parameters, a Python-based graphical interface for model use, and an automatic test routine in Python. • Developed a Structured Text (ST) test routine for a Programmable Logic Controller (PLC) using TwinCat.

• Implemented PNMPC algorithms from Matlab into C++. • Studied and applied Dynamic Matrix Control (DMC) and Generalized Predictive Control (GPC). • Controlled gas compression system pressure using these predictive control algorithms.

• Designed and improved a C# software with a user-friendly GUI for shearography-based inspection. • Implemented image processing algorithms for composite material inspection. • Integrated the software with a National Instruments board to control inspection hardware.