Tiago Martins

Hello there ! Welcome to my place in the web.

Since a young age, I'm fascinated with the world around me, which made me want to study physics and engineering. My interests include other domains, such as software development, deep learning and high-performance computing. Apart from my scientific and professional interests, I'm also a music lover, guitar practitioner, sound engineering and gaming enthusiast.

Academic Background

IST, Universidade de Lisboa - MSc Engineering Physics

Thesis: "Use of MHD Activity for Disruption Prediction in Tokamaks."
Thesis Supervisors: Prof. Diogo R. Ferreira, Dr. Paulo Rodrigues
 2019-2021
FCT, Universidade Nova de Lisboa - BSc Engineering Physics 2016-2019

Projects

F1 2019 with Deep Learning

F1 2019 official game car control with the implementation of Deep Learning.

Track Obstacles Simulator

Unity simulator project for obstacle track using Proximal Policy Optimization algorithm.

Dashboard Application

Dashboard application with machine learning model deployment.

Articles

Photo by Nana Dua on Unsplash

Accelerated Signal Processing with GPU support - Towards Data Science

Speed up your signal processing tasks with GPU supported ecosystems.

Conferences and papers


Diogo R. Ferreira, Tiago A. Martins, Paulo Rodrigues and JET Contributors, "Explainable deep learning for the analysis of MHD activity in locked-mode disruptive pulses." In: 63rd Annual Meeting of the APS Division of Plasma Physics.


Diogo R. Ferreira, Tiago A. Martins, Paulo Rodrigues and JET Contributors, "Explainable deep learning for the analysis of MHD spectrograms in nuclear fusion.", Machine Learning: Science and Technology, IOP Publishing, 3, 2021.

Get in touch

Feel free to contact me if you want to have a discussion on any topic or even search for a collaboration on an interesting project.

You can send me an e-mail to ta.am97fp@gmail.com or through any of the social media provided.