Researchers
Espejo García, Borja Antonio
Aula Dei Experimental Station (EEAD)
CSIC.
ARAID Foundation Researcher.
Education
PhD in Computer Science and Systems Engineering
Research interests
Computer Vision applied to agriculture (weed detection, disease detection, phenotyping)
Explainability in AI models (xAI)
Multimodal Artificial Intelligence and self-supervised learning (SSL)
Transfer Learning and domain adaptation in agricultural scenarios
Competences
Software Engineering (Scalable architecture design)
Data Analysis (Geospatial and agronomic data processing and analysis)
Deep Learning model development (Classification, semantic segmentation, object detection)
Facilities and techniques
Languages and frameworks (Python (PyTorch, scikit-learn, OpenCV)
Computing and deployment: Docker (containerization and reproducibility), Slurm (distributed computing / HPC), Google Colab (rapid prototyping and experimentation)
Techniques: Deep Learning (CNNs, Transformers, hybrid models), Self-supervised learning (BYOL, DINO, MAE)