Augusto Lustosa

Developed point and probabilistic forecasting techniques using AI for an international oil company, integrating research with industry standards to improve production forecasting reliability.

Developed neural-network-based solutions (RNN/LSTM/GRU) for oil and gas exploration, authored peer-reviewed papers and coordinated cross-functional research to advance deployment.

Taught graduate courses in Algorithms and Computer Networking, consistently receiving excellent student evaluations and mentoring students.

Developed and maintained RESTful APIs and responsive frontends using Laravel, Node.js, Vue.js and Angular, improving reliability via unit and integration tests and code reviews.

Collected and preprocessed millions of daily receipt records, built and evaluated ML models to classify products, and deployed an AI module integrated into CRM with stakeholder dashboards in Power BI.

Activities and societies: Developed innovative techniques using machine learning on oilfields.

Postdoctoral research focused on developing machine learning techniques for oilfield applications.

Doctoral research on diversity and similarity as criteria for selecting classifiers in dynamic selection committees.

Master's research on an ontology-based framework for analyzing online social networks applied to prospecting digital activism on Twitter.

Undergraduate project 'SocialBlood' developed a prototype social application for blood donors and recipients using the OpenSocial platform.