Juan Carlos Andresen

Dr. Juan Carlos Andresen Eguiluz

Research interests

Federated Learning
Anomaly Detection
Causal Inference
Data-driven predictive maintenance
Algorithm development
Spin Glasses
Disordered magnetic systems
Disordered and amorphous solids
Carbon Nanotubes

Latest publications

Integrating Survival-Based Aging Models with Data-Driven RUL Prognostics PHM Society European Conference, 9(1), 1–12, (2026)
Federated Gaussian Mixture Models arXiv:2506.01780, (2025)
Lithium-Ion Battery SOH Forecasting: From Deep Learning Augmented by Explainability to Lightweight Machine Learning Models 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1-4, (2024)
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection Proceedings of the European Conference of the PHM Society 2024, Vol. 8, No. 1, pp. 152 (2024)
Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction Proceedings of the Asia Pacific Conference of the PHM Society 2023, Vol. 4 No. 1 (2023)
Modular Federated Learning International Joint Conference on Neural Networks (IJCNN), 2022, pp. 1-8

The Effect of Intrinsic Quantum Fluctuations on the Phase Diagram of Anisotropic Dipolar Magnets