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. By integrating compression techniques and artificial intelligence approaches, I aim to advance knowledge in genomics and enhance our understanding of its underlying complexities.

Researcher & Computer Scientist

Some basic information

  • City: Aveiro, Portugal
  • Age: 32
  • Phone: (+351) 234 370 500
  • Freelance: Nonavailable
  • Degree: PhD
  • Workplace: IEETA, Aveiro University
  • Email:
  • Hobbies: Reading, Music, Painting, Travelling

I enjoy working in a team, and I am open to national or international collaborations in my areas of interest.

Some Statistics:

International Journals Publications

International Conference Papers

Public and Private Repositories

Citations

Selected Publications

Here are some of my selected publications.


AlcoR: alignment-free simulation, mapping, and visualization of low-complexity regions in biological data . GigaScience, 2023. J. M. Silva, W. Qi, A. J. Pinho, D. Pratas

The complexity landscape of viral genomes. GigaScience, 2022. J. M. Silva, D. Pratas, T. Caetano, S. Matos.

Feature-Based Classification of Archaeal Sequences Using Compression-Based Methods. ibPRIA, 2022. J. M. Silva, D. Pratas, T. Caetano, S. Matos.

Automatic analysis of artistic paintings using information-based measures. Pattern Recognition, 2021. J. M. Silva, D. Pratas, R. Antunes, S. Matos, A. J. Pinho.

Persistent minimal sequences of SARS-CoV-2 . Bioinformatics, 2020. D. Pratas, J. M. Silva.

Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model . Entropy, 2020. J. M. Silva, E. Pinho, S. Matos, D. Pratas.
To view more publications visit the following:

Portfolio

Here are some recent exciting tools and repositories used in my research.

  • All
  • Repositories
  • Web

Skills

Some programming languages I'm most proficient in:

C++
Python
Bash
Java

Resume

A short resume of my work experience and education.

Sumary

Jorge Miguel Silva

Innovative Researcher interested in Information Theory, Artificial Intelligence and Compression. Main foucous is the application of compression and artificial intelligence methods in genomics.

  • IEETA, Aveiro University
  • (+351) 234 370 500

Education

PhD in Computer Science

2017 - 2022

Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Aveiro University, Portugal

My PhD thesis mainly focuses on applying and developing Algorithmic and Statistic Information Theory methods to study and classify data.

Master Bioengineering & Biomedial Engineering

2010 - 2016

Faculty of Engineering University of Porto, Portugal

Professional Experience

Researcher at IEETA

2016 - Present

IEETA, Aveiro University, PT.

  • Worked on GDI project.
  • Received Research Grant from FCT to work on PhD.
  • Worked on SCREEN-DR project.
  • Worked on MMIR project.

Master Thesis Internship

2015 - 2016

INESC Technology and Science - Associate Laboratory

  • Developed software for biological-image analysis.

Master Thesis Internship

2014

University of Padova

  • Project on the Integration of Functional Brain Imaging Phenotypes with mRNA Gene Expression from Human Brain Atlas.

Contact

If you wish to contact me regarding collaborations, projects or other subjects, please get in touch with me using the following information:

Location:

IEETA, Aveiro University, Campus Universitário de Santiago, 3810-193 Aveiro

Call:

(+351) 234 370 500