Eric Aislan Antonelo.
Research and teaching at the intersection of machine learning, intelligent autonomous systems, and data-driven and physics-informed control.
Research directions
All research →Learning to act
Imitation learning, generative policies, autonomous vehicles, and robot navigation.
Explore → 02 / MODELING & CONTROLLearning with physics
Physics-informed neural models, dynamical systems, simulation, and control.
Explore → 03 / FOUNDATIONS & APPLICATIONSLearning dynamics
Reservoir computing, recurrent networks, robotics, and industrial applications.
Explore →Teaching
All courses →Machine Learning
Supervised learning, neural networks, reinforcement learning, and unsupervised methods.
2 creditsGraduateCourse details → GRADUATE · DAS410116Generative Artificial Intelligence
Deep learning foundations, Transformers, Generative Adversarial Networks, and hands-on work.
2 creditsMachine Learning prerequisiteCourse details →Course pages describe content and assessment; exact schedules and offerings are published separately by UFSC.
Research group & academic profiles
GSAI — Intelligent Autonomous Systems Group
Meet the research team, explore recent results, collaborative projects, demonstrations, and publications.
Visit GSAI ↗Publications & curriculum
A full bibliography, citation profiles, academic history, and supervision records.
Academic collaboration and course inquiries
Department of Automation and Systems Engineering, UFSC · Florianópolis, Brazil