Yuval Kahlon is an Assistant Professor at the School of Environment and Society, Institute of Science Tokyo, Japan. His research lies at the intersection of design computing, design cognition, and human–computer interaction, with a particular focus on how individuals perceive, interpret, and make sense of design situations.

 

His work combines empirical studies of design activity with the development of computational models and interactive systems. His long-term research ambition is to develop computational approaches capable of tracking individuals' subjective understanding and supporting individual and collaborative design activity in real time. His current research explores extended reality (XR), eye tracking and gaze sharing, human–AI interaction, and emerging technologies for design collaboration. He also conducts meta-research examining the development, structure, and future directions of design computing as a research field.

 

As an educator, Kahlon teaches architectural and computational design, design thinking, and emerging digital technologies. His teaching aims to equip future designers with both the conceptual understanding and practical skills needed to critically and creatively engage with rapidly evolving technologies.

 

Alongside his academic work, Kahlon has experience in design practice, entrepreneurship, and professional education, connecting his research and teaching with the changing technological landscape of design practice.