Name: Li Kan
Discipline: Computer Science and Technology
Title: Professor
Tel: 68918604
E-mail: likan@bit.edu.cn
Address: 1002 Central Teaching Building, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Li Kan, Ph.D., Professor, Doctoral Supervisor. National 863 evaluation expert, doctoral fund/postdoctoral fund evaluation expert, CCF Internet committee member, computer application committee member, YOCSEF member, Beijing youth reserve talent mentor. He is currently engaged in machine learning, data mining, and distributed system research. It has undertaken a number of national and ministerial projects such as the National 973 Project, 863 Major Project, National Natural Science Foundation, Doctoral Foundation of the Ministry of Education, National defense key models, advance research projects, and technology Foundation, and won the National Defense Science and Technology Progress Award and other scientific research awards. He has published more than 50 SCI/EI retrieval papers in domestic and foreign journals and academic conferences, nearly 20 invention patents, and published fine textbooks of the Ministry of Education and Beijing fine textbooks. He won the first prize of the 7th Young Teachers Basic Skills Competition, the T-more Excellent Teacher Award, the 13th Teaching Achievement Award and other teaching awards.

Research Direction
Machine Learning, Data Mining, Distributed Systems

Personal Information
Li Kan, Ph.D., Professor, Doctoral Supervisor. National 863 evaluation expert, doctoral fund/postdoctoral fund evaluation expert, CCF Internet committee member, computer application committee member, YOCSEF member, Beijing youth reserve talent mentor. He is currently engaged in machine learning, data mining, and distributed system research. It has undertaken a number of national and ministerial projects such as the National 973 Project, 863 Major Project, National Natural Science Foundation, Doctoral Foundation of the Ministry of Education, National defense key models, advance research projects, and technology Foundation, and won the National Defense Science and Technology Progress Award and other scientific research awards. He has published more than 50 SCI/EI retrieval papers in domestic and foreign journals and academic conferences, nearly 20 invention patents, and published fine textbooks of the Ministry of Education and Beijing fine textbooks. He won the first prize of the 7th Young Teachers Basic Skills Competition, the T-more Excellent Teacher Award, the 13th Teaching Achievement Award and other teaching awards.

Personal Information
Li Kan, Ph.D., Professor, Doctoral Supervisor. National 863 evaluation expert, doctoral fund/postdoctoral fund evaluation expert, CCF Internet committee member, computer application committee member, YOCSEF member, Beijing youth reserve talent mentor. He is currently engaged in machine learning, data mining, and distributed system research. It has undertaken a number of national and ministerial projects such as the National 973 Project, 863 Major Project, National Natural Science Foundation, Doctoral Foundation of the Ministry of Education, National defense key models, advance research projects, and technology Foundation, and won the National Defense Science and Technology Progress Award and other scientific research awards. He has published more than 50 SCI/EI retrieval papers in domestic and foreign journals and academic conferences, nearly 20 invention patents, and published fine textbooks of the Ministry of Education and Beijing fine textbooks. He won the first prize of the 7th Young Teachers Basic Skills Competition, the T-more Excellent Teacher Award, the 13th Teaching Achievement Award and other teaching awards.

代表性学术成果
2014----
[1] Li K, Pang Y. A Unified Community Detection Algorithm in Complex Network. Neurocomputing. 2014.
[2] Chen F, Li K. Detecting Hierarchical Structure of Community Members by Link Pattern Expansion Method. Web Information Systems Engineering–WISE 2014. Springer International Publishing, 2014: 95-104.
[3] Zhu G, Li K. A Unified Model for Community Detection of Multiplex Networks. Web Information Systems Engineering–WISE 2014. Springer International Publishing, 2014:31-46.
[4] Atwa W, Li K. Clustering Evolving Data Stream with Affinity Propagation Algorithm. Database and Expert Systems Applications. Springer International Publishing, 2014:446-453.
[5] Atwa W, Li K. Active Query Selection for Constraint-Based Clustering Algorithms. Database and Expert Systems Applications. Springer International Publishing, 2014: 438-445.
[6] Atwa W, Li K. Affinity Propagation-based Clustering For Data Streams. Applied Mathematics & Information Sciences. Accepted.
[7] Dai L, Li K. Main Objects Interaction Activities Recognition in Real Images. Neural Computing and Applications. Accepted.
所获奖励
国防科技进步奖
T-more优秀老师奖
第七届青年教师基本功大赛一等奖
校科技成果一等奖
第十三届教育教学成果二等奖