Biography: Professor Zhang Yong is a distinguished academic and doctoral supervisor at the School of Instrument Science and Technology, Xi'an Jiaotong University. She has served as a visiting professor at Keio University in Japan and is a recognized leader in the field of power and energy systems. She is a Senior Member of the IEEE and an active member of the IEEE Industrial Electronics Society (IES). She is a core researcher at the State Key Laboratory of Electrical Insulation for Power Equipment at Xi’an Jiaotong University, where her work focuses on advanced diagnostics, condition monitoring, and sensing technologies for high-voltage and energy equipment. She is also a member of the Energy Equipment Expert Group under the Expert Committee of the China Energy Society, contributing her expertise to national energy strategy and technological development initiatives.

Title: From Micro-Nano to Intelligence: A New Frontier in Ionized Space Sensing with Nanomaterials for Precision Environmental and Industrial Monitoring

Abstract: The convergence of micro-nanomaterials, ionized space sensing, and machine learning is opening unprecedented opportunities in precision monitoring across environmental and industrial domains. This talk presents the development and application of miniature, multifunctional gas sensors based on micro-nanomaterials that exploit induced ionized spices to detect a wide range of physical and chemical parameters, including gases, electric and magnetic fields, aerosols, temperature, and humidity. These sensors are also applied in condition monitoring of GIS devices and transformer oil analysis, ensuring critical asset reliability in power systems. A key innovation lies in the integration of machine learning techniques to calibrate and enhance the sensor responses, addressing the challenges of drift, nonlinearity, and environmental interference. The result is a new class of adaptive, intelligent sensing platforms capable of delivering accurate, real-time data in compact and energy-efficient formats. By bridging micro-nanoscale engineering with artificial intelligence, this research marks a significant step toward the development of smart sensing systems for the next generation of environmental and industrial applications.

Biography: A professor, doctoral supervisor, and Vice Dean of the School of Mechanical and Electrical Engineering at Wuhan University of Technology (WHUT). He also serves as the Deputy Director of the Hubei Key Laboratory of Digital Manufacturing. He is recognized as a "Teaching Master" for the high-quality course "Numerical Control Technology" at WHUT. Currently, he holds the positions of Project Leader for a National-level Virtual Simulation Experiment Project, Leader of a National First-class Course, Leader of Hubei Provincial High-quality Course "Numerical Control Technology", Leader of the Numerical Control Technology Resource Sharing Course, and Leader of the Numerical Control Technology Online Open Course. Additionally, he serves as the Deputy Director of the National Experimental Teaching Demonstration Center "Mechanical and Electrical Engineering Experimental and Training Center" and the Deputy Director of the Hubei Provincial "Mechanical Engineering Virtual Simulation Experiment Center".

He obtained his Doctor of Engineering degree in Mechanical Design, Manufacturing and Automation from WHUT in 2009. In 2014, he completed his post-doctoral research in Information and Communication Engineering at the National Engineering Laboratory for Optical Fiber Sensing Technology, WHUT. In 2016, supported by the China Scholarship Council, he worked as a visiting scholar at the Advanced Manufacturing Laboratory of Southeast Missouri State University, USA. His main research areas include numerical control technology, motion control analysis, CAD/CAM, and mechanical vibration analysis. In recent years, he has presided over and participated in more than 20 national and provincial scientific research projects, edited 6 textbooks and monographs, published more than 30 scientific research papers in academic journals and international conferences, and obtained 8 invention patents and 8 software copyright registrations.

Title: Research on Control System for Magnetically Actuated

Abstract: Micro-nano robotic technology, as a cutting‐edge field in robotics research, integrates disciplines including materials science, mechanical engineering, biology, and medicine. Owing to their diminutive size and high flexibility, micro-nano robots can perform movement and manipulation within sub-millimeter spaces, demonstrating significant potential in medical applications such as drug delivery, targeted therapy, and minimally invasive surgery, thereby enhancing treatment efficacy and reducing side effects. When operating as a swarm, the collective effect of these robots can overcome the limitations of individual drug-carrying capacity and expand the treatment coverage area. However, dynamic deformations and spontaneous dispersion during swarm motion—combined with the lack of real-time feedback in open-loop control systems—restrict the navigation accuracy of current systems. To address these limitations, we proposes a permanent magnet control system integrated with an adaptive navigation algorithm, capable of aggregation, path planning, tracking, and braking for the micro-swarm, with the aim of enhancing the swarm’s intelligence and adaptive operational capabilities. 

Biography: Huapan Xiao, Associate Professor and Doctoral Supervisor at Sun Yat-sen University, has received the Overseas Talent-Introduction Special Program of the Ministry of Education. His research focuses on ultra-precision machining and detection technologies for brittle materials, with extensive expertise in the formation mechanisms, prediction theories, detection methods, and suppression techniques of subsurface damage. He has led 10 research projects funded by the National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Natural Science Foundation of Shenzhen. He has published over 60 academic works, including 40 papers in SCI-indexed journals such as Int J Mech Sci, J Mater Process Technol, J Manuf Process, Eng Fract Mech, Precis Eng, Opt Express, Opt Laser Technol, Tribol Int, Ceram Int, etc. He has been granted 17 national invention patents. Dr. Xiao has received honors such as the Youth Research Award from the Asia Symposium on Precision Engineering and Nanotechnology (ASPEN).

Title: Subsurface Damage Prediction Theories and Methods in Precision Abrasive Processing of Brittle Optoelectronic Materials

Abstract: Brittle optoelectronic materials are inherently susceptible to subsurface micro-crack damage during precision abrasive processing, such as wire sawing and grinding, due to their material properties and the pursuit of processing efficiency. This damage significantly affects the service performance, lifespan, processing efficiency, and subsequent removal volumes of brittle optoelectronic materials. Therefore, it is essential to detect and analyze subsurface damage during the precision abrasive processing of these materials. Currently, methods for detecting subsurface damage in brittle materials primarily include destructive and non-destructive techniques. While destructive techniques can accurately detect subsurface damage, they destroy the material and provide only localized information about the damage at a time. Non-destructive techniques utilize the interactions between rays, light fields, ultrasonic waves, and the material to detect damage. However, ray detection is limited to assessing residual stress and similar targets, while optical detection is more effective for transparent or semi-transparent materials. Both methods also have restricted detection ranges. This report synthesizes the challenges associated with current destructive and non-destructive detection techniques for subsurface damage, advocates for the significance of prediction methods for subsurface damage, and explores the theoretical foundations and current applications related to these prediction methods.