Hi, I'm Samuel Martins (Samuka), Ph.D.

Professor and Data Scientist

About

I am an assistant professor at the Federal Institute of São Paulo, IFSP (Brazil), data scientist, researcher, boardgamer, and broadcaster. I am the current coordinator of the graduate program in Data Science at IFSP.

I am an enthusiastic in data science and medical image analysis that truly believes computer-based analysis will change the future of healthcare. I am very happy to be working in this direction. My main motivation is improving clinical routine using computer aided diagnosis.

My research interests are:
  • medical and biological image analysis
  • machine learning
  • visual analytics
  • pattern recognition
  • computational vision

Work Experience

2020 - Present

Coordinator of Data Science Specialization

Federal Institute of Education, Science, and Technology of São Paulo (IFSP)

Campinas-SP, Brazil

2016 - Present

Assistant Professor

Federal Institute of Education, Science, and Technology of São Paulo (IFSP)

Campinas-SP, Brazil

2012 - 2012

Web Developer

Tray E-Commerce Platform

Marília-SP, Brazil

2004 - 2016

Broadcaster (Volunteer Work)

Rádio Millenium FM 104.9

Pompéia-SP, Brazil

Education

2015 - 2020

Doctoral Degree

in MEDICAL IMAGE ANALYSIS

Title: Unsupervised Brain Anomaly Detection in MR Images.

University of Campinas

Campinas-SP, Brazil

University of Groningen

Groningen, the Netherlands

Check out my Ph.D. thesis.

2013 - 2015

Master Degree

in PATTERN RECOGNITION

Title: A Fast and Robust Negative Mining Approach for User Enrollment in Face Recognition System.

University of Campinas

Campinas-SP, Brazil

2008 - 2012

Bachelors Degree

in COMPUTER SCIENCE

University of São Paulo

São Carlos-SP, Brazil

Expertise

Medical Image Analysis

Automatic and semi-automatic segmentation, and detection of anomalies in MR brain images.

Image Processing

An wide range of traditional operations and segmentation techniques, and techniques to characterize images using image descriptors.

Machine Learning

Several supervised and unsupervised techniques.

Data Visualization

Different techniques for data analysis.

Skills

Programming

C/C++ Python / NumPy / Matplotlib / sklearn / Keras Java Ruby on Rails

Front-end Development

HTML 5 CSS3 Javascript React D3.js

Research & Development

Project Management Scientific Paper Writing

Languages

Portuguese (native) English

Awards

Out, 2021

Best Ph.D. Thesis Award of the Workshop of Theses and Dissertations (WTD)

SIBGRAPI 2021 – Conference on Graphics, Patterns and Images

Thesis: Unsupervised Brain Anomaly Detection in MR Images

Feb, 2020

Best Student Paper Awards

BIOSTECT BIOIMAGING 2020, Valleta, Malta

Paper: BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification

Feb, 2017

Honorable Mention

Robert Wagner Best Student Paper Award at SPIE Medical Imaging, Orlando, USA

Paper: A Multi-Object Statistical Atlas Adaptive for Deformable Registration Errors in Anomalous Medical Image Segmentation

Other Interests

Boardgames

Cooperative 1x1 Party Games Puzzles Kick starters

Geek

Movies Series Games Miniatures Posters T-Shirts

Do It Yourself

Miniature Painting Toy Makeover Other nice stuffs =)

Get in touch

Email
samuel dot martins at ifsp dot edu dot br