Wei Pan | Artificial Intelligence | Best Researcher Award

Published on by New Scientists

Dr. Wei Pan | Artificial Intelligence | Best Researcher Award

Researcher | OPT Machine Vision | Japan

Dr. Wei Pan is an accomplished researcher specializing in machine vision, 3D imaging, computational geometry, and optical metrology, currently contributing to OPT Machine Vision Corporation in Japan. His research is positioned at the intersection of machine learning, geometric learning, and computer-aided design, with applications in precision manufacturing, intelligent inspection, and automation. With 26 Scopus-indexed publications, 146 citations, and an h-index of 7, Dr. Wei Pan’s research has advanced computational methodologies for 3D reconstruction, point cloud processing, mesh denoising, phase-shifting profilometry, and surface metrology. His works have appeared in leading journals including Advanced Photonics, Optics Express, Computer-Aided Design, Automation in Construction, and The Visual Computer. Notably, his 2024 publications explore deep-learning-embedded structured light imaging and topology-aware transformers for point cloud registration, reflecting his pioneering integration of AI and optical engineering. Dr. Wei Pan has demonstrated exceptional innovation through 39 patents across domains such as 3D data filtering, surface defect detection, structured light reconstruction, and intelligent robotic calibration. These inventions strengthen industrial imaging precision and automation efficiency. His patent WO-2022057250-A1 on mesh denoising and CN-118397020-A on image segmentation and contour extraction exemplify impactful R&D contributions to intelligent vision systems. Beyond publications and patents, Dr. Wei Pan actively engages in collaborative research and R&D leadership, driving algorithmic innovation in structured-light metrology and computer vision. His research excellence has been recognized with multiple distinctions, including the President’s Graduate Fellowship (Singapore) and the Kuang-Chi Young Talents Award (China). Through his interdisciplinary expertise bridging optical design, machine learning, and computational modeling, Dr. Wei Pan continues to advance the frontiers of intelligent manufacturing and vision-based automation technologies.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

  • Liu, J., Hao, J., Lin, H., Pan, W., Yang, J., Feng, Y., Wang, G., Li, J., Jin, Z., Zhao, Z., & Liu, Z. (2023). Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction. Patterns, 4(9), Article 100953.

  • Lu, L., Bu, C., Su, Z., Guan, B., Yu, Q., Pan, W., & Zhang, Q. (2024). Generative deep-learning-embedded asynchronous structured light for three-dimensional imaging. Advanced Photonics, 6(4), 046004–046004.

  • Chen, S., Wang, J., Pan, W., Gao, S., Wang, M., & Lu, X. (2023). Towards uniform point distribution in feature-preserving point cloud filtering. Computational Visual Media, 9(2), 249–263.

  • Lu, L., Jia, Z., Pan, W., Zhang, Q., Zhang, M., & Xi, J. (2020). Automated reconstruction of multiple objects with individual movement based on PSP. Optics Express, 28(18), 28600–28611.

  • Si, G. Y., Leong, E. S. P., Pan, W., Chum, C. C., & Liu, Y. J. (2014). Plasmon-induced transparency in coupled triangle-rod arrays. Nanotechnology, 26(2), 025201.

 

Wei Zhang | Robotics and Automation | Breakthrough Research Award

Published on by New Scientists

Prof. Dr. Wei Zhang | Robotics and Automation | Breakthrough Research Award

Doctor of Engineering, Professor, Doctoral Supervisor, School of Aeronautical Engineering, Research Institute of Science and Technology, Civil Aviation University of China, China

Prof. Dr. Wei Zhang is a leading scholar in aviation ground operation safety, intelligent systems, and AI-driven mechanical dynamics. His research focuses on integrating robotics, artificial intelligence, and mechanical engineering to advance airport operational safety, efficiency, and equipment innovation. Over his career, Prof. Dr. Wei Zhang has authored 68 peer-reviewed journal articles and holds 17 patents, demonstrating significant scientific impact and contributions to both theoretical and applied civil aviation research. He has a Scopus h-index of 8 with 279 citations, reflecting the influence of his work in aviation engineering and intelligent systems. Prof. Dr. Wei Zhang’s key contributions span several areas of aviation technology. He has developed advanced algorithms for aircraft skin defect detection (FC-YOLO) and adaptive surface fitting of aircraft point clouds, enabling improved aircraft inspection and maintenance processes. In mechanical dynamics, he has performed in-depth modeling and vibration analysis of scissor-like lift mechanisms and flapping-wing micro air vehicles. He has also designed and optimized control strategies for towbarless aircraft taxiing, collision avoidance systems, and chassis suspension and vibration isolation for airport vehicles, bridging the gap between theory and practical application. His methodological expertise combines AI-based algorithm design, multi-scale feature fusion, predictive modeling, and nonlinear dynamics analysis. His recent high-impact publications include work on FC-YOLO for defect detection (Measurement Science and Technology, 2024), aircraft point cloud surface fitting (Robotics and Autonomous Systems, 2025), and vibration isolation performance of scissor-like structures (Nonlinear Dynamics, 2016). Prof. Dr. Wei Zhang’s research has been implemented in collaboration with major industry partners such as COMAC and Beijing Capital International Airport, leading to measurable improvements in aviation ground safety and operational efficiency. Through leadership in national and industry-funded projects, contributions to intelligent airport systems, and pioneering work in AI-enabled mechanical systems, Prof. Dr. Wei Zhang has established himself as a prominent figure in civil aviation research, advancing both scientific understanding and practical applications in autonomous ground vehicles, robotics, and airport equipment design.

Profile: Scopus | Google Scholar | ResearchGate | Sci Profiles

Featured Publications

  • Zhang, W., Xiong, A., & Zhang, B. (2026). Research on surface fitting technology for aircraft point cloud feature region based on adaptive complete natural segmentation. Robotics and Autonomous Systems, 195, 105221.

  • Qin, J., Ma, J., Lin, Q., Wu, H., & Zhang, W. (2025). Model predictive control with real-time variable weight for civil aircraft towing taxi-out control systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. Advance online publication.

  • Wang, X., Liu, J., & Zhang, W. (2025). A novel attitude-variable high acceleration motion planning method for the pallet-type airport baggage handling robot. Machines, 13(5), 343.

  • Huang, W., Xu, P., Zhao, T., Zhang, W., & Zhao, Y. (2025). Robust adaptive cascade trajectory tracking control for an aircraft towing and taxiing system. Actuators, 14(3), 105.

  • Xu, P., Huang, W., Zhao, T., Zhang, W., Lu, T., Qiang, G., Zhang, L., & Zhao, Y. (2025). Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties. Engineering Science and Technology, an International Journal, 62, 101938.