Basic Information:
Lin Ke, male, PhD, associate researcher, master supervisor, is a winner of CUG Scholar Young Talents Program, and has been awarded the “Outstanding Youth Team of the Central Universities” and the “First Outstanding Supervisory Team” of the University in 2023.
E-mail: linke@cug.edu.cn
Education Background:
2012/07-2020/11: Designer for key projects at an institute
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
2009/08-2011/07: 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
He is mainly engaged in “digital” and “intelligent” design and optimization, (1) reinforcement learning and deep learning, design in complex systems (such as ships, satellites, nuclear systems, etc.) and auxiliary decision-making for unmanned systems (UAVs, ships, etc.); (2) systems engineering and digital design, as well as the digital transformation of complex systems, such as the urgent need of ships, satellites, nuclear and other research institutes.
He has presided over 6 scientific research projects with a funding of RMB 3 million, and participated in 9 scientific research projects with a funding of nearly RMB 5 million. He has published 11 papers and one monograph, and has been granted 2 national defense patents. 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.
My research is problem oriented and oriented towards major engineering needs, with both academic value and engineering practice. I have sufficient funds and generous benefits. Welcome to apply.
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List of Programs:
[1] Government sponsored GF research: Research on Intelligent Decision Support Technology for Damage Management of XXXXXX (Participant)
[2] GF research sponsored by enterprise or institution: Research on XXX Rapid Evaluation Based on Limited Sample Analysis Data (PI)
[3] GF research sponsored by enterprise or institution: Research on XXX Intelligent Simulation Technology for Super Electric Large Platforms (PI)
[4] National Key Research and Development Program: XXX Fire Station and XX Cooperative Fire and Rescue Strategy and Technology (participant)
[5] GF research sponsored by enterprise or institution: Regional Fire Assistance Decision Making and Efficiency Analysis Technology (participant)
[6] Government sponsored GF research: Research on Digital Definition Methods for Multi-Factor Information (PI)
[7] GF research sponsored by enterprise or institution: Research on the Evaluation of Ship XXX Scheme Based on XXXX (PI)
[8] GF research sponsored by enterprise or institution: Research and Development of Supercritical CO2 Propulsion Device (PI)
[9] GF research sponsored by enterprise or institution: Simulation of XX damage effects based on numerical computation (PI)
Patents, Papers and Monographs:
[1] Ke Lin, Yulong Cheng, Jiangtao Lu, Miao He, and Keqing Zhou Graphene Aerogels Embedded with Boron Nitride Nanoparticles for Solar Energy Storage and Flame-Retardant Materials, ACS Applied Nano Materials, 2023, (SCI, T2)
[2] Huasheng Xu, Ke Lin, Shaohua Mao, Jie Wang, Yanming Ding, Kaihua Lu Numerical investigation of air curtain jet effect upon the compartment-facade fire safety protection based on temperature evolution and thermal impact, Thermal science and engineering progress, 2023, (SCI, T2)
[3] Long Wen, Shaoquan Su, Bin Wang a, Jian Ge, Liang Gao, Ke Lin A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation, Engineering Applications of Artificial Intelligence, 2023, (SCI, T2)
[4] Wen Guojun, Liu Siyuan, Zhao Quan, Lin Ke. Visualization System of Ship-wave Real-time Interactive Motion Based on Unity, Computer System & Applications, 2023, (T5)
[5] K.Lin, Samy Missoum, etc. Parallel Construction of Explicit Boundaries using Support Vector Machines. Engineering Computations (SCI, T4). 2011.
[6] 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 (EI). 2012
[7] 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). 2009.
[8] 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). 2009.
[9] 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). 2008.
[10] Lin Ke et al., GF Patent: A rapid generation method for XXXXX layout optimization scheme, ZL201618011450.0
[11] Lin Ke et al., GF Patent: A method for dividing XX main horizontal partition wall, ZL201318004473.5
[12] Xu Qing (Academician), Lin Ke et al., Concept Design of Destroyer, National Defense Industry Press, 2019
