Jia Ke, doctor, associate professor, selected in Sichuan Emei Plan. From 2007 to 2011, he studied engineering and computer science at Australian National University and obtained a Ph.D. degree.

Research direction:

1. Artificial intelligence and data mining

2. Graphic and image processing and application

Projects under research:

1. Research, development and application of key AI technologies for industrial surface testing, key research and development project of Sichuan Provincial Department of Science and Technology, project leader

2. Artificial intelligence operating system OSMAGIC, a key research and development project of Sichuan Provincial Department of Science and Technology, the second principal researcher

3. Research on small sample autonomous learning technology for multi-source social perception data, a major science and technology project in Sichuan Province

Project completed:

1. Deep classification technology and its application in machine vision detection in the banknote printing industry, Ph.D. funded project of "Light in the West", Chinese Academy of Sciences, project leader, completed in August 2017.

2. Special printing image detection system based on flexible matching, Shenzhen strategic emerging industry development special fund project, the second principal researcher, completed in February 2014.

Publish papers:

1. Improving the Calculation Efficiency by Sample Selection Using the Alignment (I), Journal of Computational and Theoretical Nanoscience, October 2013, SCI Journal, third author

2. Efficient Structured Support Vector Region (C), Asian Conference on Computer Vision, 2010, CCF Conference (included in EI), first author

3. Efficient Learning to Label Images (C), International Conference on Pattern Recognition, 2010, CCF Conference (included in EI), the first author

4. Pavement Scene Interpretation and Obstacle Detection by Large Margin Image Labeling (C), Asian Conference on Computer Vision, 2009, CCF Conference (included in EI), first author

5. Calculating the Pre Image using the Kernel Methods (I), Advances in Information Sciences and Service Sciences, April 2012, EI Journal, the fourth author

Awards:

1. The project of "Flexible Template Image Detection System Based on Global Optimization Algorithm" won the second prize of "Bank Science and Technology Development Award" of the People's Bank of China

2. The project of "Rubber Gravure Printing Original Detection System" won the second prize of "Bank Science and Technology Development Award" of the People's Bank of China

Contact Information:

E-mail: jiake@cuit.edu.cn