Hello,
I’m Aline Galdino.

Computer Science researcher at the Systems Engineering and Computer Science Program (UFRJ), specializing in building scalable computational infrastructures for large-scale, data-intensive analysis. I integrate HPC, Cloud, and AI solutions to transform massive, heterogeneous datasets into social and agricultural impact.

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Aline Galdino
RESEARCH INTERESTS
Natural Language Processing (NLP), High-Performance Computing architectures for data-intensive analytics, AI and Machine Learning, Multimodal data fusion (IoT, Computer Vision) to agricultural challenges in the Global South
BASED
Rio de Janeiro, Brazil
AFFILIATIONS

Projeto Fazenda – CNPq Research Project (UFRJ)

Graduate Researcher (MSc Student) working on smart farming technologies, sensor data integration, and computer vision for agricultural monitoring

Lab ComPasso – UFRJ

MSc Researcher working on AI-driven autonomous cloud infrastructures for performance monitoring and resource management in federated IaaS environments for educational platforms

Data & Justice

Founder & CEO, leading the development of Natural Language Processing (NLP) systems for large-scale analysis of police violence reports in Rio de Janeiro, supporting data-driven governance accountability

Projects

Data & Justice

NLP-based platform to map police violence and human rights violations in Rio de Janeiro through large-scale data analysis.

Selected for the NYU Law School FORGE Program • Part of BSc Research
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Projeto Fazenda

Smart agriculture research integrating sensor data, IoT systems, and computer vision for environmental monitoring.

CNPq Research Project
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Lab ComPasso – UFRJ

Research on AI-driven cloud infrastructures and performance monitoring for federated educational platforms.

MSc Research Project • UFRJ
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Publications

Evaluating Networks by Fusing Metrics with Fuzzy Logic (To appear)

Charles L. S. Mendes, Aline G. Oliveira, Douglas S. Francisco, Pablo Rangel, Claudio Miceli, Diego L. Cadette Dutra1, Claudio L. de Amorim1 et al. · 3rd Latin American Workshop on Information Fusion (LAFUSION 2025)

Development of a pipeline for edge quality classification in mobile ad hoc networks, integrating Graph Neural Networks (GNN) for link prediction and multimodal fuzzy logic fusion of physical metrics and RADNET protocol indicators.

Data & Justice: Mapping Police Violence in Maré (To appear)

Aline Galdino et al. · Future of Rights and Governance, NYU Law School · (FORGE 2025)

An NLP-based framework designed to automate the classification of human rights violation reports in Rio de Janeiro's favelas. By transforming unstructured testimonials into systemic data, this project leverages AI to challenge official narratives, uncover hidden patterns of state violence, and provide scalable evidence for digital advocacy and legal accountability.

Contact me

Feel free to reach out for collaborations, research discussions, or opportunities.