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.

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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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Dr. Rijhul Lahariya | AI in Healthcare | Young Researcher Award

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Dr. Rijhul Lahariya | AI in Healthcare | Young Researcher Award

All India Institute of Medical Sciences Patna | India

Dr. Rijhul Lahariya is an undergraduate medical student at the All India Institute of Medical Sciences, Patna, with a strong interest in neuroscience, cognition, and mental health. He is the sole author of The Brain Within: How the Brain Shapes Time, a popular science book exploring how the brain constructs the human experience of time through memory, emotion, AI in Healthcare and perception. His work bridges medicine, neuroscience, and human experience, translating complex brain science into accessible insights for a broad audience.

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Prof. Zan Hui Chen | Optical Sensor | Excellence in Research Award

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Prof. Zan Hui Chen | Optical Sensor | Excellence in Research Award

Guilin University Of Electronic Technology | China

Prof. Zan Hui Chen is an Associate Professor at the School of Information and Communication, Guilin University of Electronic Technology, China, and a master’s supervisor. His research focuses on nanophotonic devices, including surface plasmons, nonlinear optics, photonic crystals, metamaterials, Optical Sensor and integrated gas sensing chips, with strong integration of deep learning methods. He has international research experience in Japan and Hong Kong and a solid background in applied optics and electronic materials. His expertise spans micro- and nanoscale device fabrication, optical characterization, numerical simulation, and data-driven modeling for advanced photonic systems.

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Assoc. Prof. Dr. Dijana Linšak | Indoor Air | Research Excellence Award

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Assoc. Prof. Dr. Dijana Linšak | Indoor Air | Research Excellence Award

University of Rijeka | Croatia

Assoc. Prof. Dr. Dijana Tomić Linšak, PhD is a faculty member at the Faculty of Medicine, University of Rijeka, Croatia, where she serves as Deputy Head of the Department of Health Ecology and Head of Sanitary Engineering Studies. Her work focuses on public health, environmental and sanitary engineering, and applied health risk assessment. Her research addresses water safety, indoor air quality, heavy metal exposure, Indoor air and preventive public health measures, bridging environmental monitoring with health protection. She is actively involved in interdisciplinary research, education, and evidence-based public health practice at institutional and national levels.

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Mr. Keisuke Matsuura | Fault-Tolerant Control | Excellence in Research

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Mr. Keisuke Matsuura | Fault-Tolerant Control | Excellence in Research Award

Nagoya Institute of Technology | Japan

Mr. Keisuke Matsuura is a master’s student in Electrical and Electronic Engineering at Nagoya Institute of Technology, Japan. His research focuses on controlling quadruped robots using deep reinforcement learning, with an emphasis on fault-tolerant locomotion under sudden leg failures. He is developing robust walking policies that maintain stability and performance even when joint failures occur unexpectedly. His work includes joint-level analysis of fault-induced gait behaviors, providing valuable insights for improving reliability, Fault-Tolerant Control and real-world deployment of quadruped robots.

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Mr. Mohamed El Ouati | Smart Agriculture | Research Excellence Award

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Mr. Mohamed El Ouati | Smart Agriculture | Research Excellence Award

INRAE | France

Mr. Mohamed El Ouati is a research engineer in computer science at INRAE, working on monitoring, diagnosis, and planning systems for agricultural robot fleets. He develops real-time web supervision interfaces and integrates robot data streams for geovisualization, while also building data-driven diagnostic and planning modules. He has designed and deployed a scalable data lake for agricultural robotics, supporting real-time and batch data ingestion, metadata management, Smart Agriculture and advanced analytics. His work leverages technologies such as ROS, Kafka, Hadoop, PostgreSQL/PostGIS, and Docker, bridging robotics and big data for intelligent farming.

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