Ruy de Oliveira
Computer Science · Purdue University West Lafayette
Publications
45
Citations
372
Est. group size
—
Recurring co-author estimate
Active years
26
Publishing since 2001
Ruy de Oliveira works on applied computer science topics spanning network security, wireless and power-line communications, and more recently machine learning applications such as pest detection in agriculture using computer vision and edge AI, and complexity estimation for distributed sensing systems. Prospective students would likely engage with practical, dataset-driven projects that combine embedded systems, IoT, and AI methods, often applied to real-world domains like agriculture and smart grids.
Publication output was low and intermittent from 2017-2022 but has grown noticeably since 2023, with a sharp increase in 2024-2026, suggesting an increasingly active and diversifying research output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- AGROINSECT: A dataset for identifying agricultural insects and pests of interest.
Mendeley Data · 2026
- AGROINSECT: A dataset for identifying agricultural insects and pests of interest.
Mendeley Data · 2026
- AgroInsect: A Mobile Edge-AI Framework for On-Device Pest Detection and Geostatistical Interpolation in Soybean and Maize Crops
SSRN Electronic Journal · 2026
- Pre-Deployment Complexity Estimation for Federated Perception Systems
arXiv (Cornell University) · 2026
- Pre-Deployment Complexity Estimation for Federated Perception Systems
arXiv (Cornell University) · 2026
- Pre-Deployment Complexity Estimation for Federated Perception Systems
Digital Repository at the University of Maryland (University of Maryland College Park) · 2026
- MODELOS DE LINGUAGEM DE LARGA ESCALA (LLMS)
Revista Educação C&T / Secretaria de Estado de Ciência Tecnologia e Inovação de Mato Grosso · 2025
- AGROINSECT: A dataset for identifying agricultural insects and pests of interest.
Mendeley Data · 2025
- Performance Analysis of YOLO and Detectron2 Models for Detecting Corn and Soybean Pests Employing Customized Dataset
Agronomy · 2024
- A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments
IEEE Intelligent Systems · 2024
- Review of: "CNN-Based Road Damage Detection"
2024
- Developmental Impairment in Children Exposed to Sars-Cov-2 in Utero: A Brazilian Cohort Study.
Research Square · 2023
- APLICAÇÃO BASEADA NA TECNOLOGIA CLIENTE E SERVIDOR UTILIZANDO INVOCAÇÃO DE MÉTODO REMOTO
Editora Conhecimento Livre eBooks · 2021
- SISTEMA EMBARCADO PARA IDENTIFICAÇÃO DE ALUNOS UNIFORMIZADOS UTILIZANDO VISÃO COMPUTACIONAL NO RASPBERRY PI
Editora Conhecimento Livre eBooks · 2021
- Allocation of PLC Devices in a Low-Voltage Grid
2019
- Mendeley Data×3
- Editora Conhecimento Livre eBooks×2
- arXiv (Cornell University)×2
- Agronomy×1
- IEEE Intelligent Systems×1
- Anand Mudgerikar
Computer Science · Purdue University West Lafayette
- Bharat Bhargava
Computer Science · Purdue University West Lafayette
- Mustafa Abdallah
Computer Science · Purdue University West Lafayette
- Ankit Shah
Computer Science · Indiana University
- Charalampos Katsis
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile