Hello there, I’m Maria Laura!
Ensuring that systems work properly and preventing failures has always been my passion! My first contact with the field was in 2016, at the Metrology and Automation Laboratory of the Federal University of Santa Catarina (USFC). Although I had already studied the subject, it was during my summer internship at LAAS-CNRS in 2019 that I started to really apply artificial intelligence methods and delve deeper into the subject. During my PhD at Renault Group, I worked on the regression testing problematic. Throughout my academic career, I have been able to acquire various scientific and technical skills, as well as other types of expertise, such as interpersonal, team management and communication abilities. My most valuable competencies are dynamism, curiosity, willingness to learn and a strong interest in research. I’m highly motivated to work in the field of new technologies and especially innovative approaches in the IT world. I want to be an integral part of building future technologies.
Formation
PhD in Computer Engineering
🎓 National Institute of Applied Sciences (INSA Toulouse)
📅 2021-2024
📌 Toulouse, France
Master’s Degree in Electrical and Automation Engineering
🎓 National School of Electrical Engineering, Electronics, Computer Science, Hydraulics and Telecommunications (INP ENSEEIHT)
📅 2018-2020
📌 Toulouse, France
Bachelor’s Degree in Control and Automation Engineering
🎓 Federal University of Santa Catarina (UFSC)
📅 2014-2021
📌 Florianopolis, Brazil
Expirences
PhD thesis
📌 Renault Software Labs, Toulouse, France
📅 03/2021-03/2024
Thesis in the automotive field for the selection of integration tests using artificial intelligence.
Automatic test selection
📌 Renault Software Labs, Toulouse, France
📅 02/2020-08/2020
Collection, analysis and filtering of test results for automatic test selection using artificial intelligence methods.
Detection of intrusion in the computer network
📌 Laboratory for Analysis and Architecture of Systems (LAAS-CNRS), Toulouse, France
📅 06/2019-06/2019
Use of machine learning and behavioral analysis of computer network traffic to detect anomalies.
Shearography project for inspection of composite materials
📌 Laboratory of metrology and automation (LABMETRO), Florianopolis, Brazil
📅 02/2016-10/2017
Work with the software development and maintenance team, development of a program to ensure the maintenance of pipelines oil and gas using the C# language in Visual Studio.
Skills
Artificial intelligence
Applications of machine learning and reinforcement learning algorithms.
Data science
Data collection, filtering and analyzing.
Object oriented programming
Creation and maintenance of software and applications, connection with database and web.
Program languages
💻 C/C++/C#
💻 Python
💻 Matlab
💻 Java/HTML/PHP
💻 Labview/Ladder/Grafcet