Prof. Silvio Ereno Quincozes

Prof. Dr. Silvio Ereno Quincozes

UNIPAMPA · ALEGRETE, BRAZIL

Prof. Dr. Silvio Ereno Quincozes.

Professor · Research Group Leader

Coordinator of the Graduate Program in Software Engineering (PPGES)
Research Group Leader — AI Horizon Labs, UNIPAMPA

Advancing artificial intelligence, cybersecurity, and software engineering through research, open tools, and the education of the next generation of researchers.

Faculty affiliation & research leadership

I am Silvio Ereno Quincozes, a professor at the Federal University of Pampa (Universidade Federal do Pampa — UNIPAMPA), Alegrete Campus, Brazil. This is my faculty website, hosted on UNIPAMPA’s institutional domain.

I am a research group leader of AI Horizon Labs at UNIPAMPA, alongside Prof. Dr. Diego Kreutz. Our leadership is listed on the university’s LaMPAD institutional partners page.

I coordinate the Graduate Program in Software Engineering (PPGES) and the Codefólio initiative. My research focuses on artificial intelligence, cybersecurity, intrusion detection, and software engineering.

Institutional email:
silvioquincozes@unipampa.edu.br

Academic profiles: Google Scholar · ORCID · Lattes CV

ABOUT

Research with a practical purpose.

Dr. Silvio Ereno Quincozes is a professor at the Federal University of Pampa (UNIPAMPA), in Alegrete, Brazil. He coordinates PPGES and leads AI Horizon Labs, bringing together research in artificial intelligence, cybersecurity, software engineering, and technology-enhanced education.

His work explores intrusion detection, the security of cyber-physical systems and IoT networks, and the use of machine learning and explainable AI to support security decisions. As a project coordinator and researcher, he contributes to initiatives spanning realistic datasets, experimental platforms, incident-response tools, and educational software.

He holds a Ph.D. in Computer Science from Fluminense Federal University (UFF), including a research period at the University of Pittsburgh; a master’s degree in Computer Science from the Federal University of Santa Maria (UFSM); and a bachelor’s degree in Software Engineering from UNIPAMPA.

Cybersecurity

Intrusion detection · Smart grids · IoT

Artificial intelligence

Machine learning · Explainability · LLMs

Software & education

Secure software · Open tools · Learning

SELECTED PROJECTS & INITIATIVES

From research questions to working tools.

A selection of projects he coordinates, has created, or contributes to through collaborative research.

01 / CREATOR · DOCTORAL RESEARCH

ERENO

Realistic data for smarter grid security.

An open-source framework for generating IEC 61850 intrusion detection datasets. ERENO brings together communication and electrical-domain features to support the development and evaluation of security solutions for digital substations.

Explore the framework ↗

02 / PROJECT COORDINATOR

Codefólio

Build. Document. Share.

An educational and university outreach initiative connecting software development, digital portfolios, and knowledge sharing. Codefólio encourages students to demonstrate their skills through practical projects, tutorials, and collaborative learning.

Visit Codefólio ↗

03 / RESEARCHER · RNP WORKING GROUP

GT-IoTEdu

Making institutional IoT easier and safer.

A collaborative initiative for secure IoT adoption in educational institutions. The platform combines device registration, network security, monitoring, and automated responses, with contributions spanning research and tool development.

Discover IoTEdu ↗

04 / CO-AUTHOR · IOTEDU ECOSYSTEM

IoT-Zoo

Diversity-first experimentation.

A container-based framework for heterogeneous IoT device profiles and reproducible traffic capture. The testbed supports multi-domain experiments for network analysis, cybersecurity research, and teaching.

View the repository ↗

05 / RESEARCHER · RNP COLLABORATION

GT-LFI

Learning from real security incidents.

Learning From Incidents combines artificial intelligence, gamification, and collaborative learning to support incident-response education and security operations. Its tools address incident anonymization, classification, and playbook generation.

Explore the project ↗

06 / RESEARCH TEAM MEMBER

Jev IDS

Exploring System One Models for intrusion detection.

An independent research prototype investigating flow-based intrusion detection with Jev. The project compares predictive performance, latency, and inference cost against generative language models and conventional machine-learning baselines.

Explore the prototype ↗

RESEARCH · SUPERVISION · COLLABORATION

Let’s explore the next question.

Interested in graduate research or academic collaboration? Get in touch to discuss ideas in AI, cybersecurity, and software engineering.

Federal University of Pampa · Alegrete Campus · Rio Grande do Sul, Brazil