Lucas Domingos is an electrical engineer and AI researcher with 10 years’ industry experience, currently pursuing a PhD at Flinders University while working as a casual academic. His work bridges signal processing, machine learning and computer vision, with applied projects ranging from few-shot underwater acoustic classification to face reconstruction and object detection. He has translated academic advances into production-ready solutions at Eldorado Research Institute and Gertec, contributing embedded software, denoising pipelines and deep learning models. Comfortable across embedded, front-end and research stacks, he favors interdisciplinary problems that deliver real-world impact in ecological monitoring and intelligent automation. An international career spanning Brazil and Australia highlights his ability to move ideas from lab prototypes to operational systems.
Official implementation of the paper "An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data"
Contributions:1 release, 27 commits, 4 PRs in 1 year 2 months
classificationdeep-learningpreprocessing
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