João R. Campos

Ph.D. Candidate

Since 2016 I've been working as a researcher with the Evolutionary and Complex Systems Group (ECOS) at the Centre for Informatics and Systems (CISUC). I've received my Masters Degree in 2017 and enrolled in the doctoral program at the Department of Informatics Engineering soon after. My Ph.D. research is interdisciplinary, and as such I'm currently researching with both ECOS and the Software and Systems Engineering (SSE) on using Machine Learning for Online Failure Prediction.

My main research interests are Artificial Intelligence, Evolutionary Computation, Machine Learning, and currently also Dependable and Secure Computing.


Web Software Developer

For almost 10 years I worked as a software engineer for web systems, from client management to requirements and development. This provided me with a broad experience in the private sector, as well and instilled me the importance of good practices, the need for a cohesive team, the tools to objectively manage time and goals.

All these tools I acquired throughout the years allow me to conduct my research in an effective and productive fashion, which will hopefully lead to a fulfilling and significant Ph.D.

Academic Track

I started working in the private sector while I was still in the second year of my bachelor. Nonetheless, if anything, working professionally provided me a different perspective regarding the need to continue my studies. As such, I received my Bachelors' Degree in 2010 from the Coimbra Institute of Engineering, and in 2011 I enrolled in a specialized course of two years, in eCommerce. I then enrolled in a master in Informatics Engineering with a specialization in Intelligent Systems at the University of Coimbra. After finishing it in 2017 I enrolled in the doctoral program, and have since dedicated myself entirely to it, no longer working for the private sector.


Curriculum Vitae and Publications

You can find the complete list of my publications and other relevant CV details at my ORCID account: Access Here

Below you can find content/suplements of published articles.

ISSRE 2019

Propheticus: Machine Learning Framework for the Development of Predictive Models for Reliable and Secure Software

Propheticus' code & demo: Access Here

(unpublished) Propheticus internal report (more extensive and will be regularly updated): Read Here

TDSC 2019

A Benchmarking Approach for Failure Prediction Algorithms

Experiments Datasets: Access Here