Artificial Intelligence, Machine Learning

Artificial Intelligence, Machine Learning

Esra Erdem
Volkan Patoğlu
Esra Erdem
Esra Erdem
Knowledge Representation and Reasoning

Knowledge Representation and Reasoning (KR&R) is the study of representing knowledge in such a way that a computer can reason about it (infer appropriate knowledge from it) to behave intelligently. We conduct research in various areas in KR&R, such as answer set programming, declarative problem solving, reasoning about actions and change, planning, ontological representation and reasoning, query answering over big data (on the web and on the cloud), explanation generation.

Our research in KR&R has mainly been along two lines: on the mathematical foundations of KR&R, and their applications to computer sciences and other sciences (e.g., robotics, logical puzzles, computer games, VLSI design, historical linguistics, Semantic Web, biomedical informatics, and computational biology).

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Berrin Yanıkoğlu
  • Machine Learning
    Machine Learning Applications

    Machine Learning field is concerned with building machines that learns automatically from available data. Our work in the general machine learning and pattern recognition area includes the use of machine learning techniques in various applications and some work in machine learning theory. Current concentration areas are biometrics (online and offline signature verification, fingerprint verification, biometric privacy), plant recognition from photographs, online and offline handwriting recognition and sentiment analysis and information summarization for Turkish and English.

Associated Faculty Members from other programs are shown in italics