Introduction

Luís Miguel Matos is an esteemed scholar and practitioner in Information Systems and Technologies, with a comprehensive academic trajectory that focused on Information Systems and Management. He holds an Master’s degree and a Ph.D. from the University of Minho, where he specialized in Machine Learning, Artificial Intelligence. 

Luís Miguel Matos has also been involved with the ALGORITMI R&D centre (IDS Group) in several high-impact scientific projects, including Factory of the Future, TexBoost, STVgoDigital, EasyRide, and PROMOS, and has received recognition for his work, such as the Best Paper Award at the ICCSA 2021 Conference. He also conducted 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)

Since 2022 he 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), supervision for several master's students in their thesis/R&D projects and as examiner in public evaluations of Masters Dissertations (e.g., Students from Aveiro University, Minho University).

Luís Miguel Matos is also engaged with the society through a keynote speech (2023), local news appearances (2021, 2023), and other educational initiatives. His 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. It is presented with more detail here.

Creator of the Python module Cane - Categorical Attribute traNsformation Environment with more than 154 thousand downloads in total since June 3rd 2020.

Please check his Orcid Profile (short CV) for a more broad view of my work as well my Social Network Profiles (right side icons).

Currently, his research interests are:

• Business Analytics

• Decision Support Systems

• Data Mining

• Data Science

• Neural Networks

• Anomaly Detection

• Explainable AI (XAI)

Some of the courses lectured:

• 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

• Mobile Programming

• Project Management