Jhonatan Contreras

Research associate at the Photonic Data Science group, IPHT. Responsible for creating, testing, improving, and developing explainable artificial intelligence algorithms, classical machine learning methods, and Deep learning methods, like image classifiers, methods for semantic segmentation, and GANs for photonic image data.

Research associate with a focus on computer vision, machine learning from 3D, and Unstructured Data. Research in a collaborative project between the Friedrich-Schiller-University Jena and the German Aerospace Center. Responsible for creating, testing, improving, and developing machine learning techniques for the analysis of LiDAR data. Application of supervised machine learning techniques for urban and forestall areas.

Lecturer in the Biomedical Engineering department. Mentoring students in mathematics, and electrical circuits. In charge of electronic laboratory practices.