Mehmet Deniz Birlikci

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Mehmet Deniz Birlikci is a leading researcher at the intersection of multimodal interaction and gesture synthesis, with a core focus on understanding how verbal and non-verbal cues intertwine in human communication. His major contribution is the development of GeSTICS, a pioneering multimodal corpus designed to study co-speech gesture generation in two-party interactions. This work addresses a critical challenge in human-agent interaction: modeling the nuanced interplay between speech, facial expressions, and contextual signals. By creating a dataset that captures individual speaker styles and dyadic dynamics, Birlikci provides a foundational resource for advancing natural, context-aware gesture synthesis. His research, already garnering early citations, is shaping how virtual agents and robots can produce more authentic, socially intelligent non-verbal behaviors. Through GeSTICS, Birlikci is not only cataloging the complexity of human gesture but also laying the groundwork for more engaging and effective embodied AI systems, making him a key figure in the evolution of multimodal communication technologies.