Fabio Ramos

Fabio Ramos is a Professor of Robotics and Machine Learning in the School of Computer Science, Faculty of Engineering, at the University of Sydney, and Principal Research Scientist at NVIDIA. He received his BSc and MSc degrees in Mechatronics Engineering from the University of São Paulo, Brazil, in 2001 and 2003, respectively, and his PhD from the Australian Centre for Field Robotics at the University of Sydney in 2008, advised by Hugh Durrant-Whyte. Ramos began his academic career as an Australian Research Council (ARC) Postdoctoral Fellow from 2008 to 2010. He was awarded the ARC Discovery Early Career Researcher Award (DECRA) Fellowship from 2012 to 2014. Starting in 2011, he served as Senior Lecturer in the School of Information Technologies, later becoming co-Director of the Centre for Translational Data Science. In 2017, he received the Sydney Research Accelerator (SOAR) Fellowship.

Ramos's academic interests center on modeling and understanding uncertainty for prediction and decision-making tasks, including Bayesian statistics, data fusion, anomaly detection, and reinforcement learning. These approaches have been applied to robotics, mining and exploration, environmental monitoring, and neuroscience. Key publications include "Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent" (RSS 2015, with Lionel Ott), "Joint clustering and anomaly detection" (NIPS 2014), "Learning Non-Stationary Space-Time Models for Environmental Monitoring" (AAAI 2012, with Sahil Garg and Amarjeet Singh), and "Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds" (ECML 2018, Best Student Paper Award). His scholarship demonstrates substantial influence, with 17,114 citations and an h-index of 53 on Google Scholar. Ramos has secured major funding, such as A$1.9 million from the Australian Centre for Renewable Energy for machine learning methods in geothermal exploration.

Professional Email: fabio.ramos@sydney.edu.au