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- Name:Shen Ruimin
- Title:Professor
- Office:3-418
- Office Phone:34204417
- Email:rmshen@sjtu.edu.cn
- Website:
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Research Field
E-Learning Technologies; Knowledge Discovery and Data Mining; Data Encoding and Information
Education
B.S degree in Computer Science, Tsinghua University, China, 1988
M.S. degree in Computer Science, Tsinghua University, China, 1991
Ph.D. degree in Computer Science, Hagen University, Germany, 2013
Work experience
1991-1995 Lecture in the department of computer science and engineering, Shanghai Jiao Tong University
1996-1998 Associate professor in the department of computer science and engineering, Shanghai Jiao Tong University
1997-1998\t Visiting Professor in Waseda University
1998- Professor in the department of computer science and engineering, Shanghai Jiao Tong University
Research
* National High-Tech Research Program (863) of China under grant No. 2007AA01Z157. Research on Context-aware Multi-modal Interaction Model and Key Technologies. 2008-2009. (Principal Investigator)
* ROLE: Responsive Open Learning Environments, Integrated Project, EUProject FP7. 2008
* National Science Foundation of China (NSFC) under grant No. 60672066. Network Measurement based Overlay Construction Algorithms and its Application. 2007-2009. (Principal Investigator)
* key projects in the national science & technology pillar program during the eleventh five-year plan under grant No. 2007BAH09B05. Interactive Education Application Based on High-performance Broadband Network. 2007-2010. (Principal Investigator).
* US Natural Science Foundation (NSF) under grant No. 0623166. Distributed Learning and Collaboration (DLAC) for Next Generation Educational Settings. 2007. (Participant)
* US Natural Science Foundation (NSF) under Grant No. 0456434. International Collaboration on Web-based Learning: Theory, Research and Practice. 2006. (Participant)
* National Science Foundation of China (NSFC) under grant No. 60372078. Research On E-Learning Collaborative Learning and Personalized Predictive Model. 2004-2006. (Principal Investigator).
Awards and Honors
China National Science and Technology Progress Award, 2nd class, 2009
China National Teaching Achievement Award, 2nd Class, 2009
HO LEUNG HO LEE FOUNDATION Award for youth Innovation, 2008
China National Science and Technology Progress Award, 2nd class, 2006
China National Teaching Achievement Award,1st Class, 2005
Shanghai Science and Technology Advanced Award, 1st Class, 2004
Teaching
Pervasive Learning
Publications
1. Shen, R. M., Wang, M. J., Gao, W. P., Novak, D., Tang, L., (2009) Mobile Learning in a large blended computer science classroom: System function, pedagogies, and their impact on learning. IEEE Transactions on Education. 52(4), 538-546, cited by 28
2. Shen, R., Wang, M. & Pan, X., (2008) Increasing interactivity in blended classrooms through a cutting-edge mobile learning system, British Journal of Educational Technology. 39(6), 1073-1086, cited by 39.
3. C Ullrich, R Shen, W Xie, Analyzing Student Viewing Patterns in Lecture Videos, 2013 IEEE 13th International Conference on Advanced Learning Technologies (ICALT)
4. C Ullrich, R Shen, K Borau, (2013), Learning from Learning Objects and Their Repositories to Create Sustainable Educational App Environments, ICALT 2013
5. L Zhang, C Ullrich, R Shen, (2013), A Rapid Authoring Tool for Converting Existing Online Resources into Widgets, ICALT 2013
6. Gang Chen, Ruimin Shen, Song Yang, Xiaoying Zhou: A Multi-modal "E-Supervisor" in Distance Education. Sixth e-Learning and Innovative Pedagogies: An International Conference, 2013
7. Xiaohong Tan, Ruimin Shen, Teacher supported Automatic Course Generation for Large Scale Education. International Journal of Digital Content Technology and its Application. 2013,7(8):148-156.
8. Minjuan Wang & Ruimin Shen, (2012) Message Design for Mobile Learning: Learning Theories, Human Cognition, and Design Principles. British Journal of Education Technology (BJET). 43(4), 561-575. Cited by 17.
9. Xie, Weikai and Li, Yunfei and Lu, Chenping and Shen, Ruimin, (2012), Optimizing The Resource-updating Period Behavior of HTTP Cache Servers for Better Scalability of Live HTTP Streaming Systems, Proceedings of the The IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) 2012
10. Yi Lin, Weikai Xie, Chenping Lu, Ruimin Shen, Content-Adaptive H.264 Rate Control for Live Screencasting. Visual Communications and Image Processing (VCIP) 2012, San Diego, USA, Nov 2012
11. Weikai Xie, Yunfei Li, Chenping Lu, Ruimin Shen, Optimizing The Resource-updating Period Behavior of HTTP Cache Servers for Better Scalability of Live HTTP Streaming Systems, 2012 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB2012), Seoul, Korea, Jun 27, 2012
12. Xiaohong TAN, Ruimin SHEN, Yan Wang, Personalized course generation and evolution based on genetic algorithms, Journal of Zhejiang University-Sci C (Comput &Electron), 2012, 13(12): 909-917
13. Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich: Sparse Group Restricted Boltzmann Machines, Proceeding of the 25th AAAI Conference on Artificial Intelligence (AAAI) 2011. San Francisco, California, USA.
14. Tong-Zhen Zhang, Rui-Min Shen, Hong-Tao Lu, (2011) Using Non-Negative Matrix Factorization to Cluster Learners and Build Learning Communities. Chinese Journal of Electronics. 22, (2), 207-211.
15. Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich. “Simultaneous Learning of Class-relevant Features and Class-irrelevant Features”, 14th International Conference on Artificial Intelligence and Statistics (AISTATS) 2011, Fort Lauderdale, FL, USA. Volume 15 of JMLR: W&CP 15
16. M. Friedrich, M. Wolpers, R. Shen, C. Ullrich, R. Klamma, D. Renzel, A. Richert, and B. von der Heiden (2011), " Early Results of Experiments with Responsive Open Learning Environments ", Journal of Universal Computer Science , Vol. 17 , Nr. 3 (2011) , S. 451-471.
17. Xiaohong Tan, Carsten Ullrich and Ruimin Shen (2011), “From Europe to China: Adapting Courseware Generation to a Different Educational Context ”, Chapter for Book: Intelligent and Adapting Learning Systems: Technology Enhanced Support for Learners and Teachers
18. Carsten Ullrich, Ruimin Shen, Ren Tong & Xiaohong Tan: A mobile live video learning system for large-scale learning system design and evaluation. IEEE Transactions on Learning Technologies, 3(1), 2010, cited by 24.
19. Liping Shen, Minjuan Wang & Ruimin Shen, “Affective eLearning: Utilizing Emotion Data to Improve Learning in the Pervasive Environment”, Educational Technology & Society, 12 (2), 176–189,2009
20. M Wang, R Shen, D Novak, X Pan. The impact of mobile learning on students' learning behaviours and performance: Report from a large blended classroom, British Journal of Educational Technology 40 (4), 673-695, 2009, cited by 92
21. J Wang, C Niu, R Shen, Priority-based target coverage in directional sensor networks using a genetic algorithm, Computers & Mathematics with Applications 57 (11), 1915-1922,2009, cited by 35.
22. Shen L., Callaghan V.,Shen R., “Affective e-Learning in Residential and Pervasive Computing Environments”, Journal of Information Systems Frontiers, 10(3): 461-472, 2008, cited by 72.
23. C Ullrich, K Borau, H Luo, X Tan, L Shen, R Shen,Why web 2.0 is good for learning and for research: principles and prototypes,Proceedings of the 17th international conference on World Wide Web, 705-714,2008, cited by 185
24. H Luo, C Niu, R Shen, C Ullrich, A collaborative filtering framework based on both local user similarity and global user similarity, Machine Learning 72 (3), 231-245, 2008, cited by 49.
25. YG Fu, RM Shen, Color image watermarking scheme based on linear discriminant analysis, Computer Standards & Interfaces 30 (3), 115-120,2008, cited by 34.
Others