Qiankun Jin

Name: Jin Qiankun
Discipline: Computer Science and Technology/Digital Performance and Simulation Technology
Title: Associate Professor
Tel: 010-68914532, 18601339782
E-mail: jqk@bit.edu.cn
Address: 607 Software Building, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Jin Qiankun, PhD, associate professor, master tutor, has been engaged in computer-related teaching and research work in Beijing Institute of Technology in recent years, post-doctoral in weapons science and technology in the School of Mechatronic Engineering, Beijing Institute of Technology. His current research interests include modeling & simulation and high performance computing, deep learning and reinforcement learning, intelligent simulation and decision making, knowledge graph and inference. He presided over a 973 national security major basic research subproject, a Beijing Natural Science Foundation project, was responsible for a number of key equipment training and simulation projects of the Navy and Air Force, and participated in a number of national and provincial projects such as national key research and development projects, science and technology Winter Olympics, and doctoral foundation of the Ministry of Education. As the first author/corresponding author, he has published more than 20 papers in domestic and foreign journals and academic conferences. 2 authorized patents; It has won 2 first prizes of ministerial science and technology progress, 1 third prize, and won the first prize of Workers Pioneer, large-scale complex system simulation technology and major application innovation technology, Advanced individual of service guarantee for the 70th anniversary of the National Day, Advanced individual of service guarantee for the 100th anniversary of the founding of the Party and other honorary titles. The undergraduate course "Intelligent Simulation and Application" and the graduate course "Introduction to Modeling and Simulation" are offered.

Research Direction
Modeling & Simulation, High Performance Computing, Deep Learning and reinforcement Learning, Intelligent Simulation and decision making, Knowledge Graph and Inference, Crowd simulation.

Personal Information
Jin Qiankun, PhD, associate professor, master tutor, has been engaged in computer-related teaching and research work in Beijing Institute of Technology in recent years, post-doctoral in weapons science and technology in the School of Mechatronic Engineering, Beijing Institute of Technology. His current research interests include modeling & simulation and high performance computing, deep learning and reinforcement learning, intelligent simulation and decision making, knowledge graph and inference. He presided over a 973 national security major basic research subproject, a Beijing Natural Science Foundation project, was responsible for a number of key equipment training and simulation projects of the Navy and Air Force, and participated in a number of national and provincial projects such as national key research and development projects, science and technology Winter Olympics, and doctoral foundation of the Ministry of Education. As the first author/corresponding author, he has published more than 20 papers in domestic and foreign journals and academic conferences. 2 authorized patents; It has won 2 first prizes of ministerial science and technology progress, 1 third prize, and won the first prize of Workers Pioneer, large-scale complex system simulation technology and major application innovation technology, Advanced individual of service guarantee for the 70th anniversary of the National Day, Advanced individual of service guarantee for the 100th anniversary of the founding of the Party and other honorary titles. The undergraduate course "Intelligent Simulation and Application" and the graduate course "Introduction to Modeling and Simulation" are offered.

Personal Information
Jin Qiankun, PhD, associate professor, master tutor, has been engaged in computer-related teaching and research work in Beijing Institute of Technology in recent years, post-doctoral in weapons science and technology in the School of Mechatronic Engineering, Beijing Institute of Technology. His current research interests include modeling & simulation and high performance computing, deep learning and reinforcement learning, intelligent simulation and decision making, knowledge graph and inference. He presided over a 973 national security major basic research subproject, a Beijing Natural Science Foundation project, was responsible for a number of key equipment training and simulation projects of the Navy and Air Force, and participated in a number of national and provincial projects such as national key research and development projects, science and technology Winter Olympics, and doctoral foundation of the Ministry of Education. As the first author/corresponding author, he has published more than 20 papers in domestic and foreign journals and academic conferences. 2 authorized patents; It has won 2 first prizes of ministerial science and technology progress, 1 third prize, and won the first prize of Workers Pioneer, large-scale complex system simulation technology and major application innovation technology, Advanced individual of service guarantee for the 70th anniversary of the National Day, Advanced individual of service guarantee for the 100th anniversary of the founding of the Party and other honorary titles. The undergraduate course "Intelligent Simulation and Application" and the graduate course "Introduction to Modeling and Simulation" are offered.

代表性学术成果
1. Peng Mei, Gangyi Ding, Qiankun Jin et al. Reconstruction and Optimization of Complex Network Community Structure under Deep Learning and Quantum Ant Colony Optimization Algorithm；Intelligent Automation & Soft Computing (DOI:10.32604/iasc. 2020.012813). (SCI Q2/3.401)
2. Peng Mei, Fuquan Zhang*, Gangyi Ding, Qiankun Jin, Yangfan Jiao. Quantum-based creative generation method of dancing robot (doi:10.3389/fnbot. 2020.559366); Front. Neurorobot. (SCI Q2/3.493).
3. Jin Qiankun, Ni Xunbo. Numerical Analysis of Dynamic Response of Ship Models Subjected to Underwater Explosion, International Journal of Nonlinear Sciences & Numerical Simulation, Volume 11, July 2010, Pages 201- 205. (SCI Q2/5.099).
4. 倪训博, 金乾坤等. 中国手语指动作的标记体系. 哈尔滨工程大学学报. 2012 年7 月, 第33 卷,第7期,pp862-868.(Ei).
所获奖励
获得部级科技进步一等奖2项，三等奖1项。 荣获工人先锋号、大规模活动复杂体系仿真技术及重大应用创新技术一等奖、国庆70周年服务保障先进个人、建党100周年服务保障先进个人等荣誉称号。