Keynote Speakers

尹珅，挪威科技大学（NTNU）DNV 讲席教授，IEEE Fellow，挪威技术科学院（NTVA）院士。主要研究方向包括系统建模、故障诊断、预测与可靠性分析等基础理论与方法；近年来，他在数字孪生认证、人工智能保障以及安全关键系统数字保障等方面开展了框架构建与基础理论研究。 本次报告题目为 “Fundamental Study on Digital Assurance from a RAMS Education Perspective”。报告将围绕人工智能、数字孪生和智能数字技术快速发展背景下可靠性、可用性、可维护性与安全性（RAMS）理论与方法的演进展开，重点介绍面向可信数字系统的数字保障基础方法，包括系统建模、可靠性分析、不确定性刻画以及面向全生命周期的方法研究，并进一步探讨融合基础理论与数字技术的跨学科 RAMS 教育体系建设。

Shen Yin is the DNV Endowed Professor at the Norwegian University of Science and Technology (NTNU). His research focuses on the fundamental principles and methodological development of system modelling, fault diagnosis, prognosis, and reliability analysis. In recent years, he has further contributed to general frameworks and foundational theories for digital twin qualification, artificial intelligence assurance, and digital assurance for safety-critical systems. He is a Fellow of the IEEE and a member of the Norwegian Academy of Technological Sciences (NTVA). The title of this talk is “Fundamental Study on Digital Assurance from a RAMS Education Perspective.”

刘洪海，英国朴茨茅斯大学教授，IEEE Fellow，欧洲科学院院士，IEEE Transactions on Industrial Informatics 联合主编。他于英国伦敦大学国王学院获得博士学位，长期从事人脑交互、人机智能系统及其应用研究，重点关注基于上下文信息的人机感知—行为智能连接机制。近年来，已发表同行评议期刊和国际会议论文 200 余篇，在智能感知、人机交互和神经调控等领域具有重要国际影响力。本次报告题目为 “Understand Human Behaviour for NeuroRegulation”。报告将围绕人机系统中的多模态感知与行为理解展开，介绍可穿戴超声肌肉成像、皮层—肌肉相干分析等关键技术及其在人机交互、神经假肢控制、中风康复评估和孤独症儿童早期筛查等领域的最新研究进展，并探讨未来发展方向与挑战。

Honghai Liu is a Professor at the University of Portsmouth, UK, an IEEE Fellow, a Member of the European Academy of Sciences, and Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics. He received his Ph.D. from King's College London, UK. His research focuses on human–brain interaction, machine intelligence for human–machine systems, and intelligent perception-to-action mechanisms based on contextual information. He has authored and co-authored more than 200 peer-reviewed journal and conference papers and has made significant contributions to intelligent sensing, human–machine interaction, and neuroregulation. The title of his talk is “Understand Human Behaviour for NeuroRegulation.”

苏厚胜，华中科技大学人工智能与自动化学院教授、博士生导师，国家杰出青年科学基金获得者。主要研究方向包括多智能体协同控制理论及其在自主机器人、移动传感器网络等领域的应用。现担任 IEEE Transactions on Systems, Man, and Cybernetics: Systems、IET Control Theory and Applications 等国际期刊 Associate Editor。 本次报告题目为 “Cooperative Control and Distributed Observation of Cross-Domain Unmanned Systems”。报告将围绕跨域无人系统，特别是无人机—无人艇协同系统的多时间尺度和分散性等特点展开，介绍多时间尺度下无人机—无人艇协同网络的建模与可控性分析，并进一步分享其在跨域协同控制、分布式观测等方面的研究进展。

Housheng Su is currently a Full Professor with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. His research interests lie in the areas of multiagent coordination control theory and its applications to autonomous robotics and mobile sensor networks. Dr. Su received the National Science Fund for Distinguished Young Scholars of China in 2024. He is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics: Systems and the IET Control Theory and Applications. The title of this talk is “Cooperative Control and Distributed Observation of Cross-Domain Unmanned Systems.”

徐伟，中国科学院电工研究所研究员、高密度电磁动力与系统全国重点实验室主任，IEEE Fellow，IET Fellow。长期从事高密度电机系统及其驱动控制技术研究，原创提出不等幅值向量理论，显著提升了电机系统牵引能力和能效水平。现任国际直线电机大会执委、IEEE TIE/TPEL 副编辑等，曾多次担任国际大会主席。其学术成果 Google Scholar 引用 1.3 万余次，H 指数 58，并入选 IEEE IES 杰出讲座学者、爱思唯尔中国高被引学者等。本次报告题目为 “High Performance Linear Oscillatory Machine and Drive System”。报告将围绕直线振荡电机系统展开，介绍其工作原理、结构拓扑、等效模型、控制方法和系统集成技术，并结合直线压缩机、斯特林制冷机、热电联产设备和振动能量回收等应用场景，探讨其在电磁特性、控制策略和加工工艺等方面面临的关键挑战及未来发展趋势。

Wei Xu is a Professor and Director of the State Key Laboratory of High-Density Electromagnetic Energy and Power Systems at the Institute of Electrical Engineering, Chinese Academy of Sciences. His research focuses on high-density electrical machines and drive systems. He first proposed the unequal amplitude vector theory, which has significantly improved the traction capability and energy efficiency of electrical machines and systems. He has served as General Chair of several international conferences, Steering Committee Member of LDIA, and Associate Editor of IEEE TIE and IEEE TPEL. His academic works have received more than 13,000 Google Scholar citations with an H-index of 58. He is an IEEE Fellow, IET Fellow, IEEE IES Distinguished Lecturer, and Elsevier China Highly Cited Scholar. The title of this talk is “High Performance Linear Oscillatory Machine and Drive System.”