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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Mr. Fawad Khan | Real-Time Robotic Control | Research Excellence Award

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Mr. Fawad Khan | Real-Time Robotic Control | Research Excellence Award

Shenzhen Institutes of Advanced Technology | China

Mr. Fawad Khan is a PhD researcher in Robotics and Artificial Intelligence at the Shenzhen Institutes of Advanced Technology, CAS, focusing on safe and constrained reinforcement learning for human–robot collaboration. His work develops safety-aware RL frameworks that enable robots to operate alongside humans while balancing task performance and safety guarantees. He has contributed benchmark environments and adaptive safety mechanisms for robotic manipulation in shared workspaces. His research targets real-world deployment in collaborative manufacturing, warehouse automation, Real-Time Robotic Control and assistive robotics, bridging theory with practical safety-critical applications.

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Safe Reinforcement Learning for Vision-Based Robotic Manipulation in Human-Centered Environments


– International Journal of Intelligent Robotics and Applications, 2025


Safe Reinforcement Learning for Objects Manipulation in Safety-Critical Coordinated Tasks


– 2025 ISARC Proceedings, 42nd International Symposium on Automation and Robotics in Construction :contentReference[oaicite:0]{index=0}


Design and Analysis of the Mechanism for Flapping-Wing Air Vehicle


– 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO) :contentReference[oaicite:1]{index=1}


3D Reconstruction in Industrial Environments Based on an Improved Neural Radiation Field Method


– International Conference on Computer Network Security and Software, 2022 :contentReference[oaicite:2]{index=2}

Mr. Emmanuel Izuwa | Metrology | Research Excellence Award

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Mr. Emmanuel Izuwa | Metrology | Research Excellence Award

Cranfield University | United Kingdom

Mr. Emmanuel Onuchukwu Izuwa is a mechanical engineer and researcher in intelligent automation at Cranfield University, specializing in advanced manufacturing and precision metrology. His expertise includes digital twins, automated assembly and inspection systems, robotics, embedded systems, and aerospace manufacturing. He has led the development of aircraft metrology, automated guidance, and digital-twin–driven inspection systems that enhance accuracy and efficiency. His background also covers smart materials research, robotic product design, Metrology and hands-on prototyping using CAD, programming, and additive manufacturing.

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Mrs. Sanowber Khan |  Quantum Coherence | Research Excellence Award

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Mrs. Sanowber Khan |  Quantum Coherence | Research Excellence Award

GHER | Réunion

Mrs. Sanowber Khan is a French general practitioner with broad experience in hospital and primary care settings. She completed her medical education at the University of Bordeaux and holds advanced training in general and hospital-based medicine. Her clinical work spans infectious diseases, internal medicine, emergency care, geriatrics, rehabilitation, gastroenterology, quantum coherence and neurology. She has served at the Dax Hospital Center and the Groupe Hospitalier Est Réunion, where she is currently involved in acute geriatric care, with a strong focus on comprehensive and patient-centered treatment.

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Assoc. Prof. Dr. Mingfeng Lu | Computer Vision | Research Excellence Award

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Assoc. Prof. Dr. Mingfeng Lu | Computer Vision | Research Excellence Award

Beijing Institute of Technology | China

Assoc. Prof. Dr. Mingfeng Lu is a Senior Laboratory Technician and Associate Professor at the School of Integrated Circuit and Electronics, Beijing Institute of Technology. He earned his BS and MS degrees in electronics engineering and circuits and systems from BIT, and a PhD in optical engineering. His research focuses on optical metrology, monocular visual measurement, and the application of modern signal processing and artificial intelligence techniques, including fractional Fourier transform, chirp Fourier transform, computer vision and deep learning. He has published extensively in SCI-indexed journals, holds multiple patents, and serves as a core member and co-principal investigator on national and municipal research projects.

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