Basic Information:
Lin Ke, male, PhD, was formerly an engineer engaged in key engineering at a research institute, and is now an associate researcher and master supervisor at China University of Geosciences (Wuhan) and a winner of CUG Scholar Young Talents Program.
E-mail: linke@cug.edu.cn
Education Background:
2007/09-2012/07: PhD at the State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology
Joint Training at the Department of Aerospace and Mechanical Engineering, University of Arizona, United States
Social Appointments:
Member of the Digital and Systems Engineering Professional Committee of the Nuclear Society;
Scientific and technical expert in a field in Hubei Province
Research Fields and Achievements
Research fields: Digital intelligent design and optimization technology for complex systems: (1) AI-based design and decision making; (2) Digital design of complex systems. He won the First Prize for Progress in Science and Technology from China Shipbuilding Industry Group and the Second Prize for Progress in Science and Technology from State Administration of Science, Technology and Industry for National Defense. In the past two years, he has presided over and participated in 9 scientific research programs, with a total funding of nearly 5 million Yuan.
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List of Programs:
(1) AI-based design and decision making
[1] Government sponsored GF research: Research on Intelligent Decision Support Technology for Damage Management of XXXXXX (PI), RMB 0.2 million
[2] GF research sponsored by enterprise or institution: Research on XXX Rapid Evaluation Based on Limited Sample Analysis Data (PI), RMB 0.44 million
[3] GF research sponsored by enterprise or institution: Research on XXX Intelligent Simulation Technology for Super Electric Large Platforms (PI), RMB 0.33 million
[4] National Key Research and Development Program: XXX Fire Station and XX Cooperative Fire and Rescue Strategy and Technology (participant), RMB 0.2 million
[5] GF research sponsored by enterprise or institution: Regional Fire Assistance Decision Making and Efficiency Analysis Technology (participant), RMB 0.7 million
(2) Digital design of complex systems
[6] Government sponsored GF research: Research on Digital Definition Methods for Multi-Factor Information (PI), RMB 0.24 million
[7] GF research sponsored by enterprise or institution: Research on the Evaluation of Ship XXX Scheme Based on XXXX (PI), RMB 0.79 million
[8] GF research sponsored by enterprise or institution: Research and Development of Supercritical CO2 Propulsion Device (PI), RMB 1.4 million
[9] GF research sponsored by enterprise or institution: Simulation of XX damage effects based on numerical computation (PI), RMB 0.62 million
Patents, Papers and Monographs:
Lin Ke et al., GF Patent: A rapid generation method for XXXXX layout optimization scheme, ZL201618011450.0
Lin Ke et al., GF Patent: A method for dividing XX main horizontal partition wall, ZL201318004473.5
Xu Qing (Academician), Lin Ke et al., Concept Design of Destroyer, National Defense Industry Press, 2019
K.Lin, Samy Missoum, etc. Parallel Construction of Explicit Boundaries using Support Vector Machines. Engineering Computations (IF: 1.0099). 2011.
KeLin, Haobo Qiu, Tao Wu and Zhihui Yao. A local minimum sampling strategy for the construction of boundaries using support vector machines. 16th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2012). EI Indexed. 2012
K.Lin, H.B.Qiu, L.Gao, etc. Comparison of Stochastic Response Surface Method and Response Surface Method for Structure Reliability Analysis. The Second International Conference on Intelligent Computation Technology and Automation. 172-175. ICICTA'09 (EI Indexed). 2009.
Y.F.Sun, H.B.Qiu, L.Gao, K.Lin, etc. Stochastic Response Surface Method Based on Weighted Regression and Its Application to Fatigue Reliability Analysis of Crankshaft. International Mechanical Engineering Congress and Exposition. 13-19, IMECE2009 (EI Indexed). 2009.
X.Y.Shao, K.Lin, L.Gao, H.B.Qiu. Research on Tolerance Analysis System of 3D Collaborative Design Platform. 253-259, Materials and Product Technologies (EI Indexed). 2008.
The research mainly focuses on the needs of national major projects, and has a good application prospect and long-term scientific research project support, so we can provide each student with experimental research conditions. Students are expected to have a strong interest in research, be practical and diligent, and be willing to innovate. We strongly support and encourage students to carry out scientific research activities, publish papers and patents, and participate in innovative competitions such as the “Challenge Cup”. If you are willing to join us, please submit your resumes, transcripts of CET-4/CET-6 and undergraduate transcripts to my email address.