Keynote Speakers & Invited Speakers

Prof. Dr. Şadi Evren Şeker

Dean of Istanbul University, Computer and Information Technologies Faculty

Explainable AI (XAI): Making sense of the decisions of AI models is a critical requirement to increase their trustworthiness. Explainable AI (XAI) is the foundation for building auditable and ethical AI systems, especially in sectors such as education, finance, healthcare, and law.

Prof. Dr. M. Tamer Özsu

University of Waterloo

Some Thoughts on AI-for-DB: Large Language Models (LLMs) is a fast growing topic and their interaction with/impact on data management is being hotly debated and studied. In this talk, I will discuss the issues at this intersection of LLMs and data management.

Prof. Dr. Zehra Çataltepe

CEO of TAZI.AI

AI and Machine Learning in Theory and Practice: In presentation, speaker will discuss the differences between what an AI/ML project lifecycle looks like in academia and industry, the differences between goals, outcomes, skill levels and involved parties in the implementation processes and decision for success.

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Prof. Dr. Fatih Amasyalı

Yıldız Teknik Univ. Comp. Eng. Dept.

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