Speakers of ICAMTMS 2024
Prof. Chao Ai, Yanshan University, China
艾超教授，燕山大学
Prof. Ai Chao is currently the deputy director of the State Key Laboratory of Crane Technology, the School of Mechanical Engineering at Yanshan University. He presided over or participated in 45 national and provincial-level scientific research projects, presided over four national natural science funds, one sub-project of the national key research and development plan, and published five books. A total of 109 papers and 69 SCI and EI papers were published by one author or corresponding author. He authorized 50 invention patents and was awarded eight honorary titles, such as Young Changjiang Scholars of the Ministry of Education. He is the deputy director of the intelligent flow control branch of the Mechanical Engineering Society, the executive director of the super-large engineering vehicle branch of the China Engineering Machinery Society, and the expert for the evaluation of high-tech enterprises in Hebei Province.
Title:Coming soon......
Abstract: Coming soon......
Prof. Yunqing Rao, Huazhong University of Science and Technology, China
饶运清教授，华中科技大学
Prof. Yunqing Rao is a Ph. D supervisor Huazhong University of Science and Technology, China. Several national major projects, including 973 projects, the National Natural Science Foundation of China project, 863 key projects, sub-projects of national major science and technology projects, the Ministry of Industry and Information Technology special sub-project of intelligent manufacturing, etc., have been presided over and undertaken. The 12 invention patents authorized by China have been obtained, five academic works and two textbooks have been published, and more than 200 academic papers have been published (including over 100 collected by SCI/EI). One second prize of the national scientific and technological progress award and two first prizes of the provincial and ministerial scientific and technological progress awards are won, respectively.
Title: A Multi-Objective Grey Wolf Algorithm for Stock Cutting Resource Combination Optimization under Cloud Manufacturing Environment
Abstract: Cloud manufacturing (CMfg) is a new intelligent manufacturing paradigm, and service composition and optimal-selection (SCOS) is one of the core research areas. This paper combines the indicators of material utilization in the cutting industry to study the SCOS problem in the CMfg environment. A multi-objective optimization mathematical model with service cost, time and material utilization rate as indexes is introduced. An improved grey wolf algorithm for multi-objective problem is proposed for this model. We design an adaptive expansion hyper-grid and elite solution archive access strategy, which effectively improves the diversity of solution set and local search capabilities. Seven benchmark examples are tested, showing that this algorithm can obtain higher quality solutions than MOEA/D and SPEA2, which further demonstrates that the proposed algorithm is effective and superior in solving such problems.
Assoc. Prof. Pei Feng,Central South University,China
冯佩副教授，中南大学
Pei Feng, Associate professor, PhD supervisor, Central South University, has been selected in the National Postdoctoral Innovation Talent Support Program, Hunan Province Outstanding Youth Science Fund, Hunan Province Outstanding Doctoral Dissertation, etc. He is mainly engaged in research on laser additive manufacturing technology and application of tissue regeneration structure. He has published over 50 Sci papers in Adv Funct Mater (IF:19.924) and Adv Sci (IF:17.521) as the first/corresponding author. There were 12 papers in 10.0, including 13 highly cited papers and 8 hot papers selected by ESI. It has been positively quoted by Nat Rev Mater, Chem Rev and other journals more than 7,000 times, and highly praised by the editor-in-chief of Science and 34 academicians from China, the United States and Britain. Published 3 academic monographs in English; 20 national invention patents were authorized; He presided over the national self-science Fund project, Youth Fund, national key research and development plan sub-project, etc. He has won 2 first prizes and 3 second prizes of provincial and ministerial level medical Science and Technology Awards of Hunan Province.
Title: Coming soon......
Abstract: Coming soon......