Mr. Zhaohui Chen | AI-Based Robot Perception | Research Excellence Award

Mr. Zhaohui Chen | AI-Based Robot Perception | Research Excellence Award

The University of Sydney | Australia 

Mr. Zhaohui Chen is a PhD candidate in Civil Engineering at the University of Sydney, focusing on AI-driven infrastructure assessment, disaster response, and digital-twin systems. His research combines computer vision, multimodal learning, and agentic AI to develop scalable, interpretable frameworks for large-scale damage assessment, AI-Based Robot Perception and decision support. He has published multiple first-author papers in leading journals, including Nature Communications and Automation in Construction. His work aims to enable real-world engineering decision-making under uncertainty by integrating robotics-enabled inspection, intelligent automation, and digital-twin technologies.

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An average pooling designed Transformer for robust crack segmentation


– Automation in Construction, 2024 (Open Access)

Mr. Hasan Kutlu | 3D Vision and Sensing | Excellence in Research Award

Mr. Hasan Kutlu | 3D Vision and Sensing | Excellence in Research Award

Fraunhofer-Institut für Graphische Datenverarbeitung | Germany

Mr. Hasan Kutlu is a doctoral researcher in applied computer science and a scientific staff member at the Fraunhofer Institute for Computer Graphics Research. His work focuses on autonomous digitalization using advanced two- and three-dimensional sensing, combining software, hardware, and data-driven methods. He leads applied research projects in industrial and environmental contexts, including intelligent scanning and analysis systems. His expertise spans data science, applied mathematics, 3D Vision and Sensing and artificial intelligence for real-world measurement and automation tasks.

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