Introduction

Hi, my name is Luís Miguel da Rocha de Matos, and I started my journey in the area of ​​information systems during my High School education by completing the Information Management course.

Then I entered the university of Minho and took the Integrated Masters course in Information Systems and Technologies. During this period, I specialized in several areas of programming with particular emphasis on Machine Learning and Artificial Intelligence. I took the opportunity to specialize in some tools like Salesforce Apex and Outsystems.

Finally, I got a Ph.D. in Information Systems and Technologies, where I started my research and academic career. My Ph.D. focused on developing an intelligent decision support system for the mobile market, where I attributed campaigns to users taking into account the dynamics of the volatile mobile market.

I currently lecture, mainly on the course "Engineering Information Systems and Management" and their respective masters courses. Furthermore, since 2016 I work as a researcher, contributing to several Scientific projects (e.g., Factory of the Future, TexBoost, STVgoDigital, EasyRide, PROMOS), performed (since 2022) peer-review in Machine Learning (e.g., semi-supervised learning, Anomaly Detection, Deep Learning) for Q1 Journals (Pattern Recognition, IEEE Access, Neural Computing and Applications) and Q2 Journals (e.g., Expert Systems) and received a Best Paper Award ICCSA 2021 Conference. 

Since 2022 I colaborated in several scientific commitees (e.g., ARTIIS, ISTIIS, EAI IoECon, SLATE), session Chair (e.g., AIAI and ARTIIS), workshop presentations (e.g., CODE AI project) and as examiner in public evaluations of Masters Dissertations.

I am engaged with the society through a keynote speech (2023), local news appearances (2021, 2023), and other educational initiatives. My work and experience have addressed some of the challenges and opportunities of the modern world, and have advanced the knowledge and practice in his field. You can view it with more detail here.

Creator of the Python module Cane - Categorical Attribute traNsformation Environment with more than 124 thousand downloads in total since June 3rd 2020.

Please check my full CV or my Orcid Profile (short CV) for a more broad view of my work.

Currently, my research interests are:

• Business Analytics

• Decision Support Systems

• Data Mining

• Data Science

• Neural Networks

• Anomaly Detection

• Explainable AI (XAI)

Currently, I lecture/lectured the following courses:

• Computer Programming Fundamentals

• Integration Systems and Implementation

• Algorithmic and Programming

• Web Programming

• Data Structures (Ansi C)

• Information Technologies in Organizations (Lecture Master Degree in Information Systems)

• Artificial Intelligence Techniques

• Intelligent Data