Anderson Souza de Araújo Editor at IgMin Research
Our commitment is to accelerate research advancements through interdisciplinary collaboration.
Biography
Associate researcher at INESC Technology and Science - Associate Laboratory in Portugal. Master´s degree in Systems Engineering from the Federal University of Rio de Janeiro. Expert in Cyber Security from The Hebrew University of Jerusalem. PhD candidate at the University of Trás-os-Montes e Alto Douro. Several papers published about Risk Management. Cyber Security, BPM, RPA, and AI. High-performance professional with extensive experience as an Associate Professor, CIO, PMO, and CISO.
Research Interest
Robotic Process Automation, Artificial Intelligence, Hyperautomation, Business Process Management
Editor
Work Details
Associate Researcher
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science
Portugal
Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Melanocytic Nevi Classification using Transfer Learning
- Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- Assessing Bee (Hymenoptera, Apoidea, Anthophila) Diversity and Floral Preference in Two Habitats in the Iberian Peninsula
- A Study to Determine the Reason for Lower Pregnancy Rates in Younger Women with Diminished Oocyte Reserve-less Chance of Implanting vs. Fetal Demise
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
