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

Exploring the Connections Between Social Network Analysis and Graph Analytics: The connections between the two, examining how graph analytic techniques can support the study of social structures, and how problems from social network analysis can inspire new challenges for graph analytics research will be introduced.

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.

Dr. Ulaş Vural

Virus Yapay Görme ve Otomasyon Sis. GM.

The concept of humanity2.0 and its historical contex, The evolution of AI technologies, Brain-computer interfaces and neurotechnology

Dr. Merve Ayyüce Kızrak

HUX AI Founder and CEO

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Prof. Dr. Fatih Amasyalı

Yıldız Teknik Univ. Comp. Eng. Dept.

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