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Ismail Ilkan Ceylan is a research associate at the University of Oxford's Department of Computer Science, where he is engaged in themes related to artificial intelligence and machine learning. His research primarily focuses on graph machine learning, particularly addressing challenging problems that are naturally characterized using relational structures. He aims to efficiently and reliably learn relational patterns and reason in highly interactive fields. Ceylan employs a variety of machine learning techniques, including deep learning and graph representation learning, alongside probabilistic methods and knowledge representation theories. His work is informed by theoretical computer science, specifically complexity theory and graph theory, applying these methods across diverse domains such as life sciences and social networks. Ceylan is also interested in developing advanced DPhil-level research in graph representation learning.
Department of Politics and International Relations - Higher Level English requirement.