SPEAKERs

Zhang Zhijun, Professor at South China University of Technology, PhD Supervisor, National Outstanding Young Talent, Director of the Guangdong Provincial Key Laboratory of Embodied Intelligent Humanoid Robots for Large Models in Higher Education Institutions, and Chair of the IEEE CIS (Computational Intelligence) Guangzhou Chapter. He leads the Bionic Intelligent Robotics Laboratory, the Hongqian Human-Machine Interaction Joint Laboratory, and the Tianxiagu Artificial Intelligence and Digital Agriculture Joint Laboratory at South China University of Technology. Recognized as a High-Level Talent Scholar at the university, he is also a Guangdong Provincial Outstanding Young Scientist and a Guangdong Provincial Young Elite Talent in Science and Technology Innovation. His research focuses on neural networks, machine learning, large-scale models, control optimization, and robotics. Currently serves as Committee Member of the Hybrid Intelligence Committee, Collaborative Robotics Committee, and Adaptive Dynamic Programming and Reinforcement Learning Committee at the Chinese Association of Automation; Committee Member of the Visual Perception and Computing Committee at the China Association for Computer Graphics and Imaging; Editorial Board Member for the SCI journals IEEE Transactions on Emerging Topics in Computational Intelligence and Electronics; Executive Editor of the Global Journal of Neural Science; Associate Editor of the International Journal of Robotics and Control; and reviewer for over 20 SCI-indexed international journals. Internationally pioneered the Time-Varying Weight Dynamic Learning Neural Network (Real-Time Learning Theory), applied to prediction, recognition, control, and optimization scenarios. Proposed a real-time natural human-robot interaction method based on neural dynamics, resolving real-time natural interaction challenges for robots. Developed a morphological-based securities price prediction model and methodology, along with a deep dynamic learning detection strategy for medical imaging. Independently developed prototypes including: – Power grid equipment fault diagnosis and lifespan prediction systems – Agricultural intelligent pineapple flowering induction robots – Agricultural fruit and vegetable harvesting robots – Mobile inspection robots – Intelligent nursing robots – Multimodal ultra-humanoid emotional interaction robots – Intelligent flying robots – Multimodal rehabilitation-assisted wheelchair robots – Intelligent mask detection robots for complex environments Some achievements are advancing toward industrialization. Zhang Zhijun has published/had accepted over 180 papers in key international journals (including Nature subjournals and IEEE Transactions) and conferences, with over 120 SCI-indexed journal articles and 2 English monographs/chapters. His papers have been cited 2,998 times, with 1,988 external citations. He has filed over 100 invention patents and obtained 46 authorized invention patents. He has led or participated in over 30 projects, including National Key R&D Programs, National Natural Science Foundation grants, and industry-sponsored research. Multiple patents and achievements have attracted investment and advanced toward industrialization. His work has earned provincial-level First Prizes for Technological Invention and Scientific and Technological Progress, Best Paper Awards at international conferences, and multiple ESI Highly Cited Papers. He is listed among the top 2% of scientists globally by Stanford University and featured on the Lifetime Scientific Influence Ranking.