André Paulo Dantas de Araújo
Universidade Federal Fluminense Instituto de Computação
About
I'm PhD Candidate in Computer Science at the University Federal Fluminense - UFF, I combine my academic research and practical skills to develop innovative and scalable solutions for complex problems. I worked at the Brazilian Navy for 8 years as a software engineer.
My current research focuses on machine learning methods using reinforcement learning, while my current project involves developing micro-services systems for training models based on neural networks for interpretation, information extraction. I work with a variety of technologies, such as Springboot-Java, PostgreSQL, Azure, Kafka, Docker, Kubernetes, Gitlab, Jenkins, Swagger API, Angular, ReactJS, NodeJS, and Python Flask. I am passionate about creating intelligent and efficient solutions that can improve the performance and quality of processes and products in various domains.
Employment
-
Universidade Federal Fluminense Instituto de Computação PhD Candidate2022 - 2026
Education
-
Universidade Federal Fluminense Instituto de Computação Master Degree2019 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- General System Architecture and COTS Prototyping of an AIoT-Enabled Sailboat for Autonomous Aquatic Ecosystem Monitoring Save
- Reinforcement-learning robotic sailboats: simulator and preliminary results Save
- Vision of the Seas: Open Visual Perception Framework for Autonomous Sailing Vessels Save
- Sustainable Solutions for Sea Monitoring With Robotic Sailboats: N-Boat and F-Boat Twins Save
- Energy Management in Autonomous Vessels Using Restricted Boltzmann Machine Save
- Utilizando HMM para previsão de preço e estratégia de investimento em criptomoedas BitCoin Save
- Design and Implementation of a Control System for a Sailboat Robot Save
- N-BOAT: An Autonomous Robotic Sailboat Save