MEMS (Micro Electro Mechanical System) belongs to a multidisciplinary field, and has collected many cutting-edge achievements of today's scientific and technological development. Southeast University has established a MEMS research institution based on the disciplines of electronic science and technology of the School of Electronic Science and Engineering (national key disciplines, double first-class construction disciplines, the latest round of discipline evaluation, Peking University and Tsinghua University are listed as A), combined with engineering mechanics, machinery, materials, physics and other related superior disciplines. In 1999, he applied for the establishment of a key laboratory of the Ministry of Education for MEMS, passed the feasibility demonstration of the Ministry of Education in 2000, passed the acceptance inspection of the Ministry of Education in 2001, and successfully passed the evaluation of the Ministry of Education in 2002, 2007, 2012 and 2018.
At present, the laboratory has 21 professors/researchers, 21 associate professors/associate researchers, 4 lecturers and 4 engineering technicians, including CJ scholar distinguished professors of the Ministry of Education, winners of the National Science Fund for Distinguished Young Scholars, IEEE Fellow, etc. A group of scholars hold important positions in academic organizations or professional institutions at home and abroad. The laboratory is a key construction department of the National 211 Project and the 985 Project, and has research facilities of international advanced level. In recent three years, the laboratory has successively undertaken a large number of major scientific research projects, including the national key research and development plan, the national 973 plan, the national major scientific research instrument development, the national natural science fund key projects, the Ministry of Education and local governments, and has made a series of original major achievements. In recent three years, as the first winner, it has successively won one second prize of National Science and Technology Progress Award, one first prize of Technological Invention Award of the Ministry of Education, and one first prize of Jiangsu Science and Technology Award. It has published more than 300 papers in Nature Materials, Nature Nanotechnology, IEEE and other journals. The laboratory has employed a group of domestic well-known experts, including academicians of the Chinese Academy of Engineering, as members of the academic committee. With a strong academic atmosphere and active international exchanges, it has invited Nobel Prize winners, academicians of the American Academy of Engineering and other international well-known scholars to give lectures or exchange in the laboratory.
Facing the international science and technology frontier and the national major strategic needs, the laboratory has become a research institution with great influence in the field internationally after nearly two decades of construction and development, and has formed five major research directions: CMOS MEMS, MEMS CAD, RF MEMS and MEMS packaging and reliability, NEMS, and emerging MEMS.
Professor Sun Weiwei
Co founder of GES. He is currently a professor, senior researcher and doctoral supervisor of the key laboratory of MEMS of the Ministry of Education of the School of Electronic Science and Engineering of Southeast University. His main research interests are solid state electronics and computational material informatics, data mining and machine learning, predictive maintenance of equipment, etc. At present, he has won the doctorate of mass entrepreneurship and innovation in Jiangsu Province, served as the young editorial board member of Tungsten, the young editorial board member of Nonferrous Metals Science and Engineering, the letter review expert of NSFC and the following reviewers of journals; As well as several top reviewers of journals, such as Acta Materials, Advanced Science, Advanced functional materials, ACS Applied Energy Materials, Nanoscale, Nano Energy, Current Opinion in Solid State and Materials Science, Journal of nuclear materials, Journal of Catalysis, etc. His main research interests are solid state electronics and computational material informatics, including density functional theory, molecular dynamics, dynamic mean field theory, data mining and machine learning; It mainly focuses on electronic structure computing, computing materials, big data and machine learning.
GES always adheres to the core value concept that science and technology are the first productive force, and innovation is the first driving force for development. It continues to invest in research and development and innovation, and constantly tackles research and development difficulties. The company's R&D team has a profound academic accumulation in predictive maintenance, MEMS, artificial intelligence, and machine learning related fields. Based on the core technology of big data intelligent analysis and development of advanced algorithm models, the company continues to optimize models and algorithms in combination with AI neural network and machine learning, and finally accurately analyzes and forecasts the current situation and future development trend of oil products and associated equipment.
At present, the company has established deep cooperation with many domestic and foreign first-class universities and scientific research institutes, layout cutting-edge research in multiple fields and directions, quickly get through the application of predictive maintenance related systems in various industrial scenarios, and empower the industry.
In the future, the company will be committed to the research, development and innovation of original technologies for a long time, and will continue to enhance the core capabilities of the industry-leading full stack predictive maintenance system, covering key technology fields such as device perceptual intelligence, decision-making intelligence, intelligent content generation and intelligent content enhancement, as well as chips, MEMS sensors and advanced algorithms developed based on cutting-edge technologies such as artificial intelligence, big data mining, machine learning, etc Key capabilities including models.