Research

Machine learning under privacy and streaming constraints, at PUCPR's Graduate Program in Informatics (PPGIa).

Education

2002 — 2006
Computer Engineering
UEPG — Universidade Estadual de Ponta Grossa
2010 — 2012
Specialization, Project Management
FAE Centro Universitário
2019 — 2021
Specialization, Artificial Intelligence
PUCPR
Final project: a computer vision system for sorting recyclable waste. Supervised by Prof. Dr. Alceu de Souza Britto Jr.
2021 — 2023
MSc, Artificial Intelligence
PUCPR — Graduate Program in Informatics (PPGIa)
Dissertation: peak prediction in time series — predicting when energy load reaches a peak, rather than forecasting the whole series. Applied to smart grids, and published at IJCNN 2024.
Supervised by Prof. Dr. Vinícius M. A. de Souza. Funded by CAPES.
2024 — 2028
PhD, Artificial Intelligence
PUCPR — Graduate Program in Informatics (PPGIa)
Thesis: adaptive algorithms with privacy guarantees — learning from data that arrives continuously and changes over time, without the raw data leaving its source or being decrypted. It brings together federated learning, homomorphic encryption, concept drift and adaptive learning.
The first results, on training and testing classifiers under CKKS encryption, were published at BRACIS 2025.
Supervised by Prof. Dr. Jean Paul Barddal, co-supervised by Prof. Dr. Vinícius M. A. de Souza. Funded by CAPES.

Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges
Rodrigo Krüger, Jean Paul Barddal, Vinícius M. A. de Souza
BRACIS 2025 · Lecture Notes in Computer Science, Springer, 2026
DOI Springer
Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction
Rodrigo Krüger, Abdullah Mueen, Vinícius M. A. de Souza
IJCNN 2024 · International Joint Conference on Neural Networks, 2024
DOI IEEE Xplore

Associate member of the Brazilian Computer Society (SBC) since 2024. Citations appear as KRUGER, RODRIGO.