Combining deep learning and ontologies


Project Description

​The project aims to identify applications of deep learning to classification problems involving ontologies, and apply these methods to biological and biomedical datasets. The main challenges of the project are (1) to develop methods that can effectively be applied both to unstructured and structured data and classify instances into classes from ontologies, and (2) to utilize data already structured with ontologies effectively in classification and regression problems. The students will be provided with real-world several datasets and are expected to implement and evaluate deep learning approaches on these datasets. To evaluate the methods on a large scale, students will have access to one of the compute clusters at KAUST.​​​​​​
Program - Computer Science
Division - Computer, Electrical and Mathematical Sciences and Engineering
Center Affiliation - Computational Bioscience Research Center
Field of Study - ​Computer science, artificial intelligence, machine learning, data mining,bioinformatics, or related

About the

Robert Hoehndorf

Associate Professor, Computer Science

Robert Hoehndorf
​Professor Hoehndorf is interested in artificial intelligence, knowledge representation, biomedical informatics, ontology.