[ > ] ABOUT
I am an engineer and M.Sc. researcher in Artificial Intelligence at the Federal University of Rio Grande do Sul (UFRGS). My work focuses on neuroevolution, population-based learning, and the visualization of learning dynamics in neural network weight spaces.
My background spans software engineering, aeronautical sciences, and machine learning, with emphasis on interpretable, reliable, and reproducible AI systems for scientific and safety-critical domains.
[ > ] CURRENTLY INVESTIGATING
Understanding how neural populations evolve through weight space.
- Neuroevolutionary population dynamics
- Population trajectory alignment in weight space
- Weight-space manifold visualization
- Interpretable evolutionary systems
[ > ] EDUCATION
M.Sc. in Artificial Intelligence — UFRGS
Research on neuroevolutionary population dynamics in neural network weight spaces using dimensionality reduction, temporal alignment, and vector field analysis.
B.Sc. in Software Engineering
Software systems design, distributed systems, and engineering methodologies.
B.Sc. in Aeronautical Sciences
Aviation systems, operational safety, and aeronautical analysis.
B.Sc. in Systems Analysis and Development
Software development and information systems.
Postgraduate Studies
Data Science · Business Intelligence · Process Management · Project Management
[ > ] RESEARCH INTERESTS
My research explores neuroevolution, evolutionary computation, and the dynamics of learning in neural network parameter spaces. I am particularly interested in visualization methods for population-based learning systems, interpretable AI, and reliable machine learning for scientific and safety-critical applications.
Core Topics
Neuroevolution · Evolutionary Computation · Machine Learning · Representation Dynamics
Explainability & Visualization
XAI · Weight Space Analysis · Dimensionality Reduction · Visual Analytics
Applied Domains
Aviation Systems · Bioinformatics · Scientific Computing
Engineering
Research Software · Reproducibility · ML Infrastructure
[ > ] TECH STACK
Languages & Frameworks
Python · PyTorch · JAX · TensorFlow · CUDA
Analysis & ML
UMAP · t-SNE · Scikit-learn · OpenCV · Pandas
Infrastructure
Docker · Linux · FastAPI · PostgreSQL · Git
Visualization
Matplotlib · Plotly · Streamlit · D3.js
[ > ] AERONAUTICS
Beyond artificial intelligence research, I maintain a strong interest in aeronautics, aviation systems, and aerospace engineering.
I am particularly interested in the intersection of AI and aviation, including autonomous systems, trajectory optimization, anomaly detection, and safety-critical decision support.
Aviation provides a unique environment for developing interpretable and reliable machine learning systems due to its operational complexity and strict safety requirements.
I am currently pursuing Private Pilot training while studying Aeronautical Sciences, connecting practical aviation experience with AI research and engineering._
[ > ] PROJECTS
CuMiDaVis
Visual analytics dashboard for cancer microarray datasets using PCA, t-SNE, and UMAP for high-dimensional representation analysis.
GeneCancerPredictor
Machine learning framework for hepatocellular carcinoma prediction comparing six classification models with hyperparameter optimization and evaluation pipelines.
[ > ] PUBLICATIONS
Publications and research manuscripts coming soon.
Current research topics:
- Neuroevolutionary population dynamics
- Weight space visualization
- Evolutionary representation analysis
- Explainable AI systems
[ > ] LABORATORY
ExpLAIn – Explainability Laboratory for Artificial Intelligence
Instituto de Informática – UFRGS, Porto Alegre, Brasil
Research group focused on interpretable, reliable, and responsible artificial intelligence systems.
- Interpretable Machine Learning
- AI for Biology & Biomarker Discovery
- Evolutionary Optimization of Neural Networks
- Visual Analytics for AI Systems
Coordination: Prof. Bruno Iochins Grisci (PhD in Computer Science)
[ > ] CONTACT
Open to research collaborations, academic partnerships, and opportunities involving artificial intelligence, neuroevolution, visual analytics, and aviation systems.
- Email: fernando.silveira@inf.ufrgs.br
- GitHub: zzFernando
- LinkedIn: in/zzfernando
