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

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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)

Dr. Gaurav Jha | Telesurgery | Research Excellence Award

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Dr. Gaurav Jha | Telesurgery | Research Excellence Award

University of Leicester NHS Trust | United Kingdom

Dr. Gaurav Jha is a core surgical trainee in the United Kingdom with a strong clinical and academic interest in robotic surgery and surgical research. He has broad experience across trauma and orthopaedics, neurology, general surgery, acute medicine, Telesurgery and cardiology within major NHS trusts. His work emphasizes patient-centred care, multidisciplinary collaboration, and clinical excellence. Actively engaged in research and medical education, he has published peer-reviewed work, presented at international forums, and received multiple awards for leadership and academic achievement.


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

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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.

Citation Metrics (Scopus)

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Assist. Prof. Dr. Yi Chen | Artificial Intelligence and Law | Excellence in Research Award

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Assist. Prof. Dr. Yi Chen | Artificial Intelligence and Law | Excellence in Research Award

City University of Macau | Macau

Assist. Prof. Dr. Chen Yi is an Assistant Professor at the School of Law, City University of Macau, with academic training in civil procedure and private law. Her professional background includes judicial experience as a judge in China, providing strong practical insight into legal application. Her research focuses on civil and commercial law, civil procedure, data law, and the intersection of artificial intelligence and law. She teaches core law subjects including contract law, property law, civil procedure, and business organization law, bridging legal theory with real-world practice.

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