CV

Education

• Ph.D in Informatics, Pontifícia Universidade Católica do Paraná, 2027 (expected)
• M.S. in in Informatics, Pontifícia Universidade Católica do Paraná, 2023
• B.S. in Computer Science, Pontifícia Universidade Católica do Paraná, 2022

Work experience

2023 – Today: Lecturer

• Pontifícia Universidade Católica do Paraná
• Lecturer with the Cybersecurity, Computer Science, Information Systems, and Computer Engineering undergraduate degrees.

2021 – 2023: M.S. Student

• Pontifícia Universidade Católica do Paraná
• Development of a Network Intrusion Detection System based on Stream Learning focusing on low cost updates

2020 – 2021: Undergraduate Researcher

• Pontifícia Universidade Católica do Paraná
• Development of a ML algorithm to detect tenant environment degradation on containerized clouds

Languages

• Portuguese (native)
• English (C1)
• Japanese (N5)

Publications

An Early Exit Deep Neural Network for Fast Inference Intrusion Detection

Network-based intrusion detection through image-based cnn and transfer learning. In 2024 International Wireless Communications and Mobile Computing (IWCMC)

Network-based Intrusion Detection Through Image-based CNN and Transfer Learning

Fortalecendo a Segurança de Redes: Um Olhar Profundo na Detecção de Intrusões com CNN Baseada em Imagens e Aprendizado por Transferência

Uma ferramenta para detecção hierárquica e confiável de malwares Android por meio de CNN baseada em imagens

Kubemon: extrator de métricas de desempenho de sistema operacional e aplicações conteinerizadas em ambientes de nuvem no domínio do provedor

A non-Interactive One-Time Password-based Method to Enhance the Vault Security

Toward a Reliable Network-Based Intrusion Detection Model for SCADA: A Classification with Reject Option Approach

Detection of quality of service degradation on multi-tenant containerized services

A Dynamic Network-based Intrusion Detection Model for Industrial Control Systems

Towards a reliable hierarchical android malware detection through image-based cnn

Towards multi-view android malware detection through image-based deep learning. In 2022 International Wireless Communications and Mobile Computing (IWCMC)

A stream learning intrusion detection system for concept drifting network traffic

Intrusion detection model updates through gan data augmentation and transfer learning

Detection of service provider hardware over-commitment in container orchestration environments

Atualizaçao de modelo baseado em aumento de dados e transferência de aprendizagem para detecçao de intrusao em redes

Detecçao de Overbooking em Aplicaçoes Baseadas em Docker Através de Aprendizagem de Máquina

Towards multi-view android malware detection through image-based deep learning

Toward feasible machine learning model updates in network-based intrusion detection

A machine learning model for detection of docker-based APP overbooking on kubernetes

Teaching

Imperative Programming

Information Privacy

Data Hiding

CyberPhysical Operating Systems

Object Oriented Programming

Information Security

DevSecOps

Docker & Kubernetes

Programming Languages

• Python
• Java
• Rust
• C/C++
• Golang
• x86 Assembly