Scholar
Gustavo Enrique Batista
Google Scholar ID: takZ6KIAAAAJ
Associate Professor, School of Computer Science and Engineering, University of New South Wales
Citations & Impact
Citations
10,911
H-index
38
i10-index
86
Publications
20
Co-authors
73
list available
Publications
Resume (English only)
Academic Achievements
- Accepted the invitation to step up as Section Editor of the Machine Learning Journal from my current position of Action Editor. Guided students whose papers were accepted in Neurocomputing Journal, PAKDD 2025, Expert Systems With Applications Journal, and SIAM-SDM 2025. Also serving as area chair for ECML-PKDD 2025.
Research Experience
- Leading the Machine Learning team with a focus on practical applications, such as monitoring disease-vector mosquitoes through projects funded by USAID (Zika) and IVCC-UK (Malaria), and developing efficient object-detection models for execution on nanosatellites' onboard hardware.
Education
- Joined UNSW as an associate professor in 2019 after working for more than ten years at the University of Sao Paulo (USP).
Background
- I am the head of the Machine Learning group at the School of Computer Science and Engineering, University of New South Wales. My nearly 30 years of research in machine learning have given me a comprehensive understanding of this area. I have diverse interests, including data pre-processing and evaluation methods. Recently, I have been developing methods to learn from time-oriented data, such as time series and data streams. In my research on data streams, I have developed methods that can identify changes in data distributions and adapt classifiers accordingly. While passionate about theory, I also find it exciting to translate these concepts into applications, like developing an optical sensor for insect species identification using wing movement.
