Bo Jiang (江波)  Ph.D., Associate Professor
College of Educational Science and Technology, Zhejiang University of Technology

288, Liuhe Rd., Hangzhou, 310023,China

Office: 210, Chuangyuan Building

Telephone:+86 571 85290347

Email:  or


I am a researcher in College of Educational Science and Technology, Zhejiang University of Technology(ZJUT), Hangzhou, China. I'm also the deputy director of the Center for Educational Big Data (CEBD). Before joining ZJUT, I completed my Ph.D. degree from Department of Control Science and Engineering, Zhejiang University (Hangzhou, China) in 2014My research interests include data mining algorithm and educational data mining.  My ongoing work  involves unsupervised feature selection for large-scale learning  behavior data. I am particularly interested in extending the data mining into learning science to improve the learning output, predict dropout, construct the students’ cognitive and behavior model and so on. My research goal is to find hidden interesting pattern behind learning behavior using data-driven method, and then based on it, optimizing learning platform and teaching strategies to enhance learning output.

Research Interests:

  • Programming Modeling; Educational Data Mining; Learning Analytics;
  • Deep Learning; Computational Intelligence;
  • Artificial Intelligence in Education


  • Introduction to Data Mining, 2016(2)
  • Educational Data Mining and Learning Analytics, 2017(1)
  • Data Base System, 2016(1), 2017(1)
  • Data Structure(C language), 2014(2),2015(2), 2016(2)
  • Computer Networks, 2015(1)

Professional Activities:

  1. Editor Board, International Journal of Bio-Inspired Computation (2017-2021)
  2. Executive Committee Member, Asia-Pacific Society of Computers in Education (2018-2022)
  3. Program Committee Member, 23rd International Conference on Computers in Education (ICCE 2015), Hangzhou, China.
  4. Poster Chair, 24th International Conference on Computers in Education (ICCE 2016), Mumbai, India.
  5. Program Committee Member, The 2017 International Conference on Advanced Technologies Enhanced Education (ICAT2E), Qingdao, China
  6. Program Committee Member, The 6th International Congress on Advanced Applied Informatics (AAI 2017), Hamamatsu, Japan.
  7. Sub-Conference Chair, C7: Learning Analytics, Assessment and Artificial Intelligence in Education, The 22nd Global Chinese Conference on Computers in Education (GCCCE 2018), May 25-28,2018, Guangzhou, China.

 Journal Publications:  

  1.  Jiajun Ding, Junqing Yuan, Yan Chen, Bo Jiang. Community detection based on centers and neighbors, Physic A (Accepted, 01/04/2018)
  2.  Jiajun Ding, Xiongxiong He, Junqing Yuan, Bo Jiang. Automatic clustering based on density peak detection using generalized extreme value distribution. Soft Computing, (Accepted, 07/26/2017).
  3.  B.Jiang, F.Qiu, L. Wang. Multi-View Clustering via Simultaneous Weighting on View and Feature. Applied Soft Computing,2016,47:304-315.(SCI, IF = 3.541)
  4. B.Jiang, F.Qiu, L. Wang. Bi-level weighted multi-view clustering via hybrid particle swarm optimization. Information Processing and Management, 2016,52 (3): 387–398. (SSCI/SCI, IF= 2.391)
  5.  B. Jiang, N. Wang. Cooperative bare-bone particle swarm optimization for data clustering. Soft Computing, 2014,18(6):1079-1091.( SCI&EI , IF=2.472)
  6. B. Jiang, N. Wang, L. Wang. Parameter identification for solid oxide fuel cells using cooperative barebone particle swarm optimization with hybrid learning. International Journal of Hydrogen Energy,2014,39(1):532-542.(SCI&EI, IF=3.548 )
  7.  B. Jiang, N. Wang, L. Wang. Particle swarm optimization with age-group topology for multimodal functions and data clustering. Communications in Nonlinear Science and Numerical Simulation,2013,18(11):3134-3145.(SCI&EI, IF= 2.784)
  8.  B. Jiang, N. Wang, X. Li. Particle swarm optimizer with aging operator for multimodal function optimization. International Journal of Computational Intelligence Systems, 2013,6(5):862-880.(SCI&EI, IF=1.017)
  9.  江波, 高明. 虚拟仿真实验学习行为分析, 中国远程教育,CSSCI, 已接受(2017/5/5
  10.  江波 , 高明. 虚拟仿真实验学习行为模式与学习效果研究,开放教育研究,审稿中.
  11. 江波 , 高明. 基于行为序列的学习过程分析与学习效果预测, 电化教育研究,审稿中.
  12. 江波, 王小霞. 在线测评中的眼动行为数据分析,现代教育技术,审稿中.
  13. , 莫雷平, 江波, .基于大规模变量分解的多目标粒子群优化算法研究,计算机学报,20163912.

Conference Proceedings:  

  1. Ming Gao,Bo Jiang and Wanjian Li.Block-based Programming Behavior Modelling with Block Categories Sequences Analytics. GCCCE2018. (Submitted)
  2. Wanjian Li, Jiang Bo, Ming Gao, Zhixuan Li and Xiaoxia Wang.Automatically Confusion Detecting Using Students’ Facial Expression.GCCCE2018.(Submitted)
  3. Jiahui Ryan, Bo Jiang and Zhanhui Sheng. Uniform Test Assembly System Based on Branch-and-Bound and Maximum Clique Algorithm.GCCCE2018.(Submitted)
  4. Ming Gao, Bo Jiang, Xiaoxia Wang, Wanjian Li.Engaged Time Analysis for Students with Different Achievements. Proceedings of The 21st  Global Chinese Conference on Computers in Education (GCCCCE 2017), Beijing, China. (Full Length Paper)
  5. Bo Jiang, Xiaoxia Wang. A Short Review on Eye-Tracker based Education Research in Chinese : 2012-2016. Proceedings of The 21st  Global Chinese Conference on Computers in Education (GCCCCE 2017), Beijing, China. (Full Length Paper)
  6. Bo Jiang and Ming Gao. Behavior and feature selection of online learning data. Proceedings of 24th International Conference on Computers in Education (ICCE 2016), Mumbai, India.
  7. Bo Jiang, Feiyue Qiu. Evolutionary Multi-objective Optimization for Multi-view Clustering. World Congress on Computation Intelligence (WCCI 2016), 3/15, 2016.[matlab code]
  8. Bo Jiang, Haidong Guo, Feiyue Qiu. Weighted Multi-view Clustering for Handwritten Numerals. The 23rd International Conference on Computers in Education (ICCE 2015),2015, Hangzhou, China
  9. Bo Jiang, Feiyue Qiu, Haojun Li. Review of Educational Data Mining----Technical Perspective. The 16th Annual Conference on Computer Aided Education, 2014. (Excellent Paper Award)
  10. Feiyue Qiu, Yushi Wu, Liping Wang, Bo Jiang. Bipolar Preferences Dominance based Evolutionary Algorithm for Many-Objective Optimization. WCCI 2012 IEEE World Congress on Computational Intelligence. Brisbane, Australia.
  11. B. Jiang, N. Wang, X. He. Asynchronous particle swarm optimizer with relearning strategy. The 37th Annual Conference on IEEE Industrial Electronics Society(IECON 2011), 2011,2341-2346. Melbourne, Australia.