Fabio Ramos

Fabio Ramos is a Professor in the School of Computer Science at The University of Sydney. His research interests include intelligent robotics, artificial intelligence, machine learning, planning and decision making, satisfiability and optimisation, reinforcement learning, modelling and simulation, control engineering, mechatronics and robotics. He is also a Principal Research Scientist at NVIDIA, USA. Ramos holds a B.Sc. and M.Sc. in Mechatronics Engineering from the University of Sao Paulo, Brazil, and a Ph.D. from The University of Sydney. He has over 200 peer-reviewed publications and has received numerous awards. His work focuses on enabling robots and autonomous systems to learn from data via human demonstrations or through reinforcement learning. The techniques he develops have been applied to mining, environmental monitoring, finance, and healthcare.

Fabio Ramos is a researcher at the University of Sydney and NVIDIA, specializing in robotics and machine learning. His work focuses on developing advanced algorithms for real-time tracking, environmental monitoring, and intelligent control systems. He has contributed to Gaussian process modeling, Bayesian optimization, and deep learning techniques for tasks such as malicious software classification and autonomous robotic manipulation. His research emphasizes scalable and efficient methods for robotics simulation, path planning, and data-driven decision-making. Ramos has also explored unsupervised learning for human motion analysis and differentiable simulation for robotic tasks. His publications highlight the integration of probabilistic inference and optimization in robotics and machine learning applications.