Zhen Guo | Automotive Robotics | Research Excellence Award

Dr. Zhen Guo | Automotive Robotics | Research Excellence Award

Doctoral student |  Wuhan University of Technology |  China

Dr. Zhen Guo is an emerging researcher in intelligent fault diagnosis and industrial artificial intelligence, with work spanning advanced data-driven methods for complex mechanical and robotic systems. The academic profile reflects strong training in engineering research with a focus on applying deep learning and statistical learning to real-world reliability challenges. Professional experience includes active service as a peer reviewer for leading international journals and conferences in engineering informatics, artificial intelligence, measurement science, and mechanical systems, demonstrating recognition within the scholarly community. Research interests center on deep learning–based fault diagnosis, rotating machinery health monitoring, robotics, anomaly detection, imbalance learning, few-shot and incremental learning, and transfer learning, particularly for wind turbines, gearboxes, and autonomous systems. Research skills encompass convolutional and attention-based neural networks, adversarial learning, feature extraction, time-series analysis, imbalance data handling, and intelligent condition monitoring frameworks. Contributions are evidenced by publications in high-impact journals such as Renewable Energy, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Measurement, Ocean Engineering, and Scientific Reports, addressing both theoretical modeling and practical deployment. Awards and honors are reflected through consistent publication in top-tier venues and trusted reviewer roles. Overall, the work demonstrates a coherent trajectory toward robust, scalable, and intelligent diagnostic solutions for next-generation industrial and transportation systems. He has achieved 152 Citations 11 Documents 7h-index.

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Hui Dong | Autonomous Vehicles | Research Excellence Award

Prof. Hui Dong | Autonomous Vehicles | Research Excellence Award

Professor | Harbin Institute of Technology | China

Prof. Hui Dong is an established researcher and academic leader with a strong record in advanced mechatronic and robotic systems, demonstrating sustained contributions across theory, engineering practice, and interdisciplinary innovation. Her professional experience includes leading and participating in more than 24 nationally and provincially funded research projects, serving as principal investigator for competitive youth and general programs, and contributing to key special projects aligned with aerospace and advanced manufacturing initiatives. Her research interests span mechanism science, intelligent manned and unmanned systems, wearable mechatronic systems, medical robotics, and human–machine hybrid intelligence, with particular emphasis on flexible manipulators, robotic navigation and control, legged and wheel-legged robots, surgical robotics, and data-driven intelligent interaction. Her research skills encompass robotic system design, kinematics and trajectory planning, control and navigation algorithms, neural networks, cross-domain situational awareness, and integration of large models into human–machine systems. She has authored numerous high-quality journal publications, including papers in top-tier international journals, with multiple first or corresponding authorships, highly cited work, and cover articles, alongside a strong patent portfolio with both domestic and international invention patents. Her awards and honors include institutional scholar recognition and competitive excellence titles reflecting research impact and leadership. Overall, her work demonstrates a consistent trajectory of high-impact scholarship, innovation, and contribution to cutting-edge robotic and intelligent systems research. She has achieved 34 Citations  3 Documents 2 h-index.

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