Seyran Khademi

Papers

Total Citations

H-Index

About

Seyran Khademi is a pioneering researcher at the intersection of artificial intelligence, computer vision, and human-robot collaboration, with a focused expertise in Design-to-Robotic-Production-Assembly-and-Operation (D2RPA&O) frameworks. Her most cited work, "Computer Vision and Human–Robot Collaboration Supported Design-to-Robotic-Assembly" (2022, 8 citations), introduces a novel methodology that integrates real-time visual perception with collaborative robotic systems, enabling adaptive and intelligent assembly processes. This contribution directly addresses the challenge of bridging digital design and physical construction through AI-driven feedback loops. Building on this foundation, her 2024 paper presents an AI-supported approach for human-building interaction (HBI) at the furniture scale, demonstrating how sensor-actuator networks and artificial intelligence can create reconfigurable, responsive environments. Khademi’s research uniquely merges computational design, robotics, and human-centered interaction, offering scalable solutions for smart built environments. Her work is particularly notable for its practical implementation of D2RPA&O—a full-cycle framework from design to operation—showcasing how AI can transform static furniture into adaptive systems. With a growing citation trajectory and a clear focus on applied AI in architecture and robotics, Khademi is establishing herself as a key voice in the future of human-building symbiosis.