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Gustavo Batista is an Associate Professor at the University of New South Wales, specializing in Computer Science with a focus on Machine Learning and data mining. He holds a Habilitation and a PhD in Computer Science from the University of São Paulo, alongside a Master's and Bachelor's degree in the same field. His research interests include time series analysis, classification algorithms for embedded devices, and developing Machine Learning techniques for real-world applications such as pest control and monitoring environmental changes. Gustavo has significantly contributed to Machine Learning quantification and time series mining, creating robust algorithms that address complexities in data distributions. He is also an active researcher with over 9,000 citations to his work. His experience includes a visiting researcher stint at the University of California, Riverside, and he has led various funded research projects related to intelligent sensors and insect control. In addition to his research, he has supervised several PhD students in topics such as electoral data analysis and hierarchical classification of data streams.
University of New South Wales • Sydney, Australia
Teaching and conducting research in Computer Science.
University of California, Riverside • Riverside, CA, USA
Research in the area of time series analysis and classification in Eamonn Keogh's laboratory.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.