2023 4th International Conference on Mechanical Engineering and Intelligent Manufacturing(MEIM 2023)
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Prof. Ka-Veng Yuen (H-Index: 44)

State Key Laboratory of Internet of Things for Smart City, University of Macau, China

Experience: Prof. Yuen is a Distinguished Professor of Civil and Environmental Engineering (CEE). He also serves as a Council Member of the Escola Superior das Forças de Segurança de Macau (ESFSM) and Member of Board of Trustee of the Science and Technology Development Fund (FDCT) of the Macau SAR Government. Prof. Yuen' s research interest includes Bayesian inference, model selection, model updating, structural health monitoring, structural reliability, and structural vibration control. His paper “Model selection using response measurements: Bayesian probabilistic approach" (coauthored with J.L. Beck) is one of the top 10 most cited papers among all papers published in the Journal of Engineering Mechanics (established since 1983) of the American Society of Civil Engineers. Furthermore, his single-author book "Bayesian methods for structural dynamics and civil engineering" (published by John Wiley & Sons in 2010) has attracted great attention of Bayesian methods for structural dynamics. It has become a classical reading in this research field. In 2012, he was elected in the National Science and Technology Award Panel Expert Bank and the National Science and Technology Programs Expert Bank of the Ministry of Science and Technology, People's Republic of China. His major awards include: Young Investigator Award, International Chinese Association on Computational Mechanics; QIAN Weichang programme scholar, K.C. Wong Education Foundation; and Phi-Tau-Phi Honorary member.

Personal Web Sites:https://www.fst.um.edu.mo/personal/kvyuen/biography-of-prof-yuen/

Title: Robust optimal sensor configuration design

Abstract: Although the problem of optimal sensor placement (OSP) has been studied for a few decades, some further computational aspects regarding OSP have been studied recently. In this talk, we will propose a new approach for robust sensor placement. In the literature, OSP has always been considered for the case in which all sensors function well. However, this is not necessarily the case in real practice. We will present an algorithm to handle possible malfunctioned sensor and we will illustrate that the sensor configuration obtained by this algorithm is different from the traditional one.



Prof. Na Li

Xidian University, China

Experience: Li Na, a professor at the Xidian University, Doctoral supervisor. Member of key laboratory of electronic equipment structural design, Ministry of Education. Her main research direction is high precision electronic equipment error theory, new system antenna structure design and optimization. She has presided over a number of national-level scientific research projects: the national defense project, the astronomical joint fund of the NSFC, the National of NSFC, and youth fund of the NSFC, the Basic Research Program of Natural Science of Shaanxi province-young Talents Project.  In 2020, she won the title of "Golden Mountain talented person" in Zhenjiang, Jiangsu Province, and was 2021 selected into the high-level Innovative Entrepreneurship program in Jiangsu Province. She has published more than 30 Sci/Ei retrieval papers in Chinese Journal of Mechanical Engineering, Acta Astronautica, Research in Astronomy and Astrophysics, applied for more than 40 national invention patents and granted 14 patents.

Personal Web Sites: https://faculty.xidian.edu.cn/LN8/zh_CN/index.htm

Title: Structure design of extreme size antenna based on electromechanical coupling theory

Abstract: With the gradual implementation of a number of major projects in the country, such as centimeter-class unmanned payload platforms, QTT Radio telescope for odd platforms, and large-scale spaceborne deployable antennas, the design of the antenna in the size, gain, bandwidth, frequency band and so on also put forward more and more high, even extremely demanding requirements. On the one hand, long-distance and high-precision detection requires a 100-meter aperture antenna to achieve high gain, while a micro-payload platform requires the antenna structure size to continuously develop towards the centimeter, micron or even nanometer scale, thus better with the platform to adapt to achieve the overall mobility and concealment. However, the current design methods of traditional antennas have touched the technical ceiling of narrow vertical mining space and slow horizontal development speed. Only by means of multi-source information fusion in multi-subject and multi-field, can the innovative design of new antenna with extreme size break the theoretical shackles of traditional antenna design, and give a new direction.

In this report, the application and development of electromechanical coupling theory in antenna structure design and optimization are introduced by taking three extreme size antennas such as magneto-electric thin film antenna, nano-rectifying antenna and flexible shaped antenna as examples. The report includes the basic design theory of the three antennas, the requirements of the key structural factors affecting their performance, the design, preparation and testing of the samples. Finally, the key scientific and core technical problems of extreme size antenna design and optimization are summarized and refined, which lays a theoretical foundation for extreme size antenna design in our country.


Prof. Kun Li

Chongqing University, China

Experience: Distinguished Professor of "Hongshen Young Scholars", PhD supervisor, overseas talents. Obtained Bachelor degree from Jilin University, obtained Philosophy degree from Tsinghua University. In February 2017, he went to the University of Texas at El Paso for postdoctoral research and served as Prof. Lawrence E. Murr (The pioneer in additive manufacturing in the US) and R.D.K. Misra's PhD student co-supervisor. The scientific research achievements won the University of Texas Researcher Award 2018. In April 2019, he served as a senior researcher in the Department of Mechanical Engineering and Materials Science, University of Pittsburgh. In August 2020, he was hired as a "Hongshen Young Scholar" Distinguished professor and doctoral supervisor of Chongqing University, engaged in teaching and research work. Mainly engaged on additive manufacturing, intelligent 3D net forming, high-performance materials and phase change, and material computing. He has published more than 40 papers in famous journals and conferences such as "Additive Manufacturing", "Journal of Materials Science and Technology", "Materials Science and Engineering: A", and "Journal of Nuclear Materials". Served as the reviewer of famous journals in the fields of "Acta Materialia", "Materials Research Letters", "International Journal of Plasticity" and other fields.

Personal Web Siteshttps://faculty.cqu.edu.cn/KunLi 

Title: Processing and applications in metal additive and intelligent manufacturing

Abstract: Metals additive and intelligent manufacturing, has demonstrated great value and broad application in strategic emerging industries such as aerospace like turbo engine and blades, transportation like bearings, new energy and medical structures. The research progress has been made through several decades combined with the lab research. It has changed the traditional manufacturing methods and provided new ideas for the direct manufacturing of complex metal structures and functional parts, liberating the freedom of designers and making new product forms emerge, which shows very considerable prospects in the fields of innovative product development, biomedicine and energy.