大会简介

第四届机械、航天技术与材料应用国际学术会议(MATMA 2025)定于2025年8月12-14日在英国·伯明翰隆重举行。本会议主要围绕“机械工程”、“航天技术”与“材料应用”等最新研究领域展开研讨，为来自国内外高等院校、科学研究所、企事业单位的专家、教授、学者、工程师等提供一个分享专业经验，扩大专业网络，面对面交流新思想以及展示研究成果的国际平台，目的是为了探讨相关领域发展所面临的关键性挑战问题和研究方向，以期推动该领域理论、技术在高校和企业的发展和应用，同时也是为参会者建立业务或研究上的联系以及寻找未来事业上的全球合作伙伴。

邀请嘉宾：

Prof. Duc Truong Pham

University of Birmingham, UK

FREng, FLSW, FSME, BE, PhD, DEng, CEng, FIET, FIMechE

Title: TBD

Abstract: TBD

Experience: Prof. Duc Truong Pham holds the Chance Chair of Engineering at the University of Birmingham. His research is in the areas of intelligent systems, robotics, autonomous systems, and advanced manufacturing and remanufacturing technology. He has published over 600 technical papers and books and has graduated more than 100 PhD students. He is the recipient of several awards, including five prizes from the Institution of Mechanical Engineers, a lifetime achievement award from the World Automation Congress, and a Distinguished International Academic Contribution Award from the IEEE. He is a Fellow of the Royal Academy of Engineering, the Learned Society of Wales, the Society for Manufacturing Engineers, the Institution of Engineering and Technology, and the Institution of Mechanical Engineers. He is the founding editor of the Springer Series in Advanced Manufacturing, the founding editor-in-chief of Cogent Engineering, and the editor-in-chief of the International Journal on Interactive Design and Manufacturing.

Prof. Weidong Li

University of Shanghai for Science and Technology, China

FIMechE, FIET

Title: TBD

Abstract: TBD

Experience: He is the dean, professor, doctoral supervisor of the School of Mechanical Engineering, University of Shanghai for Science and Technology, Special Professor of Changjiang Scholars, Shanghai innovation leader, Fellow of the British Institution of Mechanical Engineers (IMechE), Fellow of the International Institute of Engineering and Technology (IET), and scholar of the European Union's Maligurie Program. He has presided over more than 30 scientific research projects of EU Framework Programme (EU FP7, EU Horizon), UK Engineering and Physics Foundation (EP SRC), UK Innovation Agency (IUK) and European industry (Airbus, Rolls-Royce, Jaguar Land Rover). He has been the director of the European Union International cooperation project for three times, won the European Union "Success Case Award" twice, and presided over the National Natural Science Foundation of China, the Ministry of Science and Technology, the Shanghai Science and Technology Commission, the Shanghai Municipal Education Commission, and the horizontal scientific research projects of enterprises.

Prof. Xun Xu

University of Auckland,

New Zealand

FSME, FASME, FEngNZ

Title: TBD

Abstract: TBD

Experience: He joined the Department of Mechanical and Mechatronics Engineering at The University of Auckland in 1996 after obtaining a Ph.D. from the University of Manchester (then UMIST) in the UK. Since then, he has been working at the University of Auckland as a Lecturer, Senior Lecturer, Associate Professor, and now as a Professor. His teaching within the department spans several fields, including mechanical engineering design, manufacturing systems, advanced manufacturing technology, manufacturing information systems, advanced CAD/CAM/CNC, and Industry 4.0. His primary research focuses on computer-aided design, process planning, and manufacturing, with particular emphasis on STEP-compliant CNC (STEP-NC), cloud manufacturing, smart manufacturing, and Industry 4.0. He established the first Industry 4.0 laboratory in New Zealand, the Laboratory for Industry 4.0 Smart Manufacturing Systems (LISMS) (

https://lisms.auckland.ac.nz/), and leads one of the top research teams in the field.

Reader-Dr.MichaelPackianather

Cardiff University, UK

Title: Fault diagnosis in machines using AI and deep learning methods

Abstract: This talk will focus on the need to develop efficient techniques for fault diagnosis and fault classification in machines. In particular, mechanical and electrical faults in an induction motor will be considered. The techniques will cover Multimodal Preprocessing, Artificial Image Synthesis, Deep Learning and Load-Adaptive Graph-Based Methods. Emphasis will be given to Artificial Intelligence based methods for designing semi or fully automatic fault classification and fault prediction systems for extending the Remaining Useful Life (RUL) of machines.

Experience: Dr. Michael Packianather is a Reader at Cardiff University and his expertise covers AI/ML, Robotics, Optimisation and Intelligent Systems. He is the Deputy Director of PGR Studies. He has worked successfully on several EPSRC, UKRI and EU funded collaborative research projects. He is an Associate Editor of the International Journal on Interactive Design and Manufacturing (IJIDeM). He was a key member of the MANUELA project funded by the EU H2020 programme and his research contribution focused on the development of Digital Twin for minimizing phores in Metal Additive Manufacturing process also known as Powder Bed Fusion through deep learning models and predictive data analysis.

Prof. Jun Huang

Wuhan University of Technology,

China

Title: TBD

Abstract: TBD

Experience: He has published more than 20 high-level academic papers and 2 bibliographic chapters as the first or corresponding author, and obtained 7 national patents. From 2017 to 2021, he worked as a full-time researcher in the team of Duc Truong Pham, a fellow of the Royal Academy of Engineering and Professor at the University of Birmingham, and successively participated in a number of major scientific research projects in the EU and the UK. He was elected a Fellow of the Higher Education Institute (FHEA) in 2019, certified as a Registered Engineer (CEng) in 2020, and appointed as an Expert Member of the British National Standards Institute (BSI) from 2019 to 2021. In 2022, he was selected into the Hubei High-level Innovation Talent Plan.

Assoc. Prof. Mozafar Saadat

University of Birmingham, UK

Title: TBD

Abstract: TBD

Experience: Dr Mozafar Saadat holds an honours degree in mechanical engineering from University of Surrey, and a PhD in manufacturing automation from University of Durham. He has had a range of previous experience as manufacturing technology consultant to industry as well as holding a full-time academic position at University of Sunderland prior to joining University Birmingham in 1999.His general research and teaching interests are in the areas of automation, robotic, and manufacturing engineering. Dr Saadat has developed and directed a number of engineering undergraduate and MSc programmes, authored several open/distance learning teaching modules, and more recently, has instigated, developed and led international collaborative and partnership degree programmes.

征稿主题

• ·空气动力学航空航天系统与技术
• ·空气动力学和气动弹性
• ·航空航天设计、测试和性能
• ·空气动力学与控制
• ·航空航天结构
• ·能耗监测
• ·发动机和系统
• ·飞行系统
• ·燃料和燃烧
• ·传热传质
• ·工业摩擦学
• ·仪表和控制
• ·替代电力系统和管理
• ·航空航天材料
• ·特殊高性能材料
• ·燃烧和排放控制
• ·计算流体动力学
• ·动力学与控制
• ·MEMS与纳米技术
• ·建模与仿真
• ·纳米技术
• ·噪音、振动和不平顺性
• ·传动系统

论文出版

Submit to the Conference | EI会议论文出版

本会议所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由Journal of Physics: Conference Series (JPCS) (ISSN:1742-6596) 独立出版，见刊后由期刊社提交至EI Compendex, Scopus检索，目前该出版社EI检索非常稳定。

参会方式

1、作者参会：一篇录用文章允许一名作者免费参会；

2、主讲嘉宾：申请主题演讲，由组委会审核；

3、口头演讲：申请口头报告，时间为15分钟；

4、海报展示：申请海报展示，A1尺寸；

5、听众参会：不投稿仅参会，也可申请演讲及展示。