- Signal processing and biosignal analysis
- Machine learning and deep learning for biomedical data
- Classification, regression, and predictive modeling
- Feature extraction, representation learning, and time-series analysis
- CNNs, RNNs, Transformers, and attention-based models
- Self-supervised, semi-supervised, and multimodal learning
- Probabilistic modeling, Bayesian methods, Gaussian processes, and kernel methods
- Optimization, statistical learning theory, and model generalization
- Explainable AI, uncertainty estimation, and robust model validation
- Reproducible research and scientific computing
For research collaboration or academic work related to machine learning, signal processing, and biosignal analysis, feel free to reach out through javier.ceron@utp.edu.co.