Lucas Domingos

Casual Academic at Flinders University

Adelaide, South Australia
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Centro Universitário FEI
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Flinders University
languagesPortuguese, English
github-logo-circle

Github Skills (8)

audio-classification9
mls8
classification7
signal-processing7
audio7
ieee6
audio-processing6
pipeline5

Programming languages (1)

Python

Github contributions (5)

github-logo-circle
lucascesarfd/underwater_snd

Sep 2021 - Nov 2022

Underwater Vessel Audio Classification Net
Contributions:1 release, 27 commits, 4 PRs in 1 year 2 months
audio-processingaudio-classificationvesselmlsaudio
lucascesarfd/onc_dataset

Nov 2022 - Mar 2025

This repository contains the pipeline to obtain and process ONC data from hydrophones. A compiled version of the dataset can be found at https://ieee-dataport.org/9778
Contributions:2 releases, 4 PRs, 7 pushes in 2 years 4 months
pipelinedatasetoncieeedataport
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Lucas Domingos - Casual Academic at Flinders University