A Federated Random Forest Solution for Secure Distributed Machine Learning
CBMS, 2025A. Cotorobai, J. M. Silva, J. L. Oliveira
Jorge Miguel Silva
I'm a
About
As a Research Fellow at the Institute of Electronics and Informatics Engineering of Aveiro (IEETA), I engage in cutting-edge computer science and engineering research. I hold a Master's in Bioengineering from the Faculty of Engineering at the University of Porto and have recently completed my PhD in Computer Science. My primary research interests revolve around Information Theory, Artificial Intelligence, and Compression, focusing on applying these methodologies to genomics.
Researcher & Computer Scientist
Some basic information
City:
Aveiro, Portugal
Degree:
PhD
Age:
33
Workplace:
IEETA, Aveiro University
Phone:
(+351) 234 370 500
Email:
Freelance:
Not available
Hobbies:
Reading, Music, Painting
I enjoy working in a team, and I am open to national or international collaborations in my areas of interest.
Projects
Research projects I'm involved with
12
Journal Publications
28
Conference Papers
38
Repositories
331
Citations
9
h-index
Selected Publications
Here are some of my selected publications.
AltaiR: a C toolkit for alignment-free and temporal analysis of multi-FASTA data
GigaScience, 2024J. M. Silva, A. J. Pinho, D. Prata
Enhancing metagenomic classification with compression-based features
Artificial Intelligence in Medicine, 2024J. M. Silva, J. R. Almeida
AlcoR: alignment-free simulation, mapping, and visualization of low-complexity regions in biological data
GigaScience, 2023J. M. Silva, W. Qi, A. J. Pinho, D. Pratas
The complexity landscape of viral genomes
GigaScience, 2022J. M. Silva, D. Pratas, T. Caetano, S. Matos
Feature-Based Classification of Archaeal Sequences Using Compression-Based Methods
ibPRIA, 2022J. M. Silva, D. Pratas, T. Caetano, S. Matos
Automatic analysis of artistic paintings using information-based measures
Pattern Recognition, 2021J. M. Silva, D. Pratas, R. Antunes, S. Matos, A. J. Pinho
Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model
Entropy, 2020J. M. Silva, E. Pinho, S. Matos, D. Pratas
Portfolio
Tools and repositories from my research
- All
- Repos
- Web
Skills
Technical expertise across programming, research, and infrastructure.
Programming Languages
C/C++
Python
Bash
Perl
Java
JavaScript
R
Research Areas
Information Theory
Data Compression
Genomics
Bioinformatics
Machine Learning
Metagenomics
Medical Imaging
Technologies & Tools
Docker
Kubernetes
Git
HPC
React
WebAssembly
CI/CD
Domain Expertise
Federated Learning
FAIR Data
Variant Calling
Genome Assembly
Deep Learning
Privacy-Preserving ML
Resume
A short resume of my work experience and education.
Summary
Jorge Miguel Silva
Researcher in federated genomics, data compression, and biomedical AI. Focus on privacy-preserving data infrastructures and information theory methods applied to genomics and healthcare.
- 43 publications • h-index 8 • 200+ citations
- IEETA, Aveiro University
Education
PhD in Computer Engineering
2017 - 2023IEETA, Aveiro University, Portugal
Thesis: Algorithmic and Statistical Information Theory methods for data classification and compression in genomics.
MSc Bioengineering & Biomedical Engineering
2010 - 2016FEUP, University of Porto, Portugal
Awards
BioASQ Challenge 2023
Winner - Task 11B Phase B & MedProcNER
IEEE CBMS 2018
Best Student Paper Award
Leadership
FEGA Portugal Operations Coordinator
European Genomic Data Infrastructure (GDI)
Portuguese FHD Community Coordinator
Federated Human Data Community
Professional Experience
Postdoctoral Researcher
2023 - PresentIEETA, Aveiro University
- • Technical lead for GDI & FEGA Portugal node
- • Task leader for FAIR-FEGA project
- • Principal Investigator - Federated genomic infrastructures
PhD Researcher (FCT Grant)
2017 - 2023IEETA, Aveiro University
- • Genomic data compression algorithms
- • Biomedical NLP and question answering
- • Projects: SCREEN-DR, MMIR, EHDEN, EMIF
Research Fellow
2016 - 2017IEETA, Aveiro University
• Bioinformatics tools development
Academic Service
Programme Committee
IEEE CBMS, HealthInf
Journal Reviewer
GigaScience, Scientific Reports, BMC Bioinformatics, Entropy, and 5+ others
Contact
If you wish to contact me regarding collaborations, projects or other subjects, please get in touch using the following information.
Location
IEETA, Aveiro University, Campus Universitário de Santiago, 3810-193 Aveiro
Phone
(+351) 234 370 500