Jun Yan

Jun Yan

Contact information:

Phone:  15377030103            

E-mail:  yanjun@cug.edu.cn

QQ:   1463537593

Main experiences:

1988-1992       Bachelor of Engineering in Automatic Control of Huazhong University of Science and Technology

1992-1995       Master’s degree in Experimental Mechanics of Huazhong University of Science and Technology

1995-1998  Engineer in the 709^th Research Institute of CSIC  

1998-present  Teacher in China University of Geosciences

Main research fields:

Biometric information processing, sensors, pattern recognition, and the application of photoelectric devices in high-speed information processing and sensing.

Awards for instructed students:

1. In 2018, offered instructions for undergraduates in “2018 RoboWork”, with a second prize and a third prize awarded respectively;

2. In 2019, offered instructions for undergraduates in “2019 RoboWork”, with the first prize awarded.

Academic  exchange:

Chairman of the parallel session of ICRAS2019 International Conference

Scientific research programs (projects)

1. Enterprise sponsored program: Development of cable path finding and recognition instrument, 2019076444, participant

2. Enterprise sponsored program: Development of signal detection circuit for cable identification instrument, 2019076085, participant

3. Scientific research program of Wuhan City: Smart campus application system based on environmental perception, 2018075041, participant

4. National natural science foundation: Methods Study on the Noise Analysis and Weak Signal Extraction in the Weak Equivalence Principle of Quartz Fiber Torsion Balance Test with High Qs, 2016073002, participant

5. Scientific research program of Hubei Province: Research on video target detection method of Internet of things based on online learning, 2013075059, participant

6. Scientific research program of Hubei Province: Research on the asynchronous BCI EEG signal processing based on hearing sense, 2013075058, participant

7. National natural science foundation: Research on the adaptive video target detection algorithm based on weak linear regression tree online learning, 2014073068, participant

8. The program supported by the special fund of fundamental research funds for central universities:  Development of multichannel EEG data acquisition system based on FPGA, 2013079024, participant

9. Involved in the program supported by the special fund of fundamental research funds for central universities:  Research on quantitative evaluation model of multi-access interference in satellite positioning and navigation system, 2013079022, participant

10. Scientific research program of Hubei Province: Research on multi-channel EEG signal processing based on compressed sensing, 2012055077, PI

11. Scientific research program of Hubei Province: Research on video perception and intelligent analysis technology of Internet of things, 2012075069, participant

12. The program supported by the special fund of fundamental research funds for central universities:  Research on the pattern recognition algorithm based on BCI, 2012079108, participant

13. Scientific research program of Hubei Province: Research on robust digital watermarking based on fractional Fourier transform, 2011075013, participant

14. Scientific research program of Hubei Province: Steganalysis of digital images based on joint time-frequency features, 2011335070, participant

15. Scientific research program of Wuhan City: Research on the key technology of complex curve machining in embedded CNC system, 2006075036, participant

16. Scientific research program of Hubei Province: Research on the physical analogue and digital simulation of shape control performance, 2006075028, participant

17. Scientific research program of Hubei Province: Research on offline handwritten Chinese character recognition based on true two-dimensional hidden Markov model, 2006075029, participant

18. Scientific research program of Hubei Province: Advanced digital signal processing method based on ground penetrating radar, 2005125013, participant

19. Scientific research program of Hubei Province: Multimodal neural network facial expression recognition based on dynamic time series features, 2004075014, PI

20. Scientific research program of Hubei Province: Research on the detection method of broadband micro-variable magnetic field and its sensor, 2002075005, participant

21. Scientific research program of Hubei Province: Development of rapid iron analyzer of physical composition, 1999075006, participant

22. Enterprise sponsored program: Design and production of the display screen for Xianning Sports Center, 1999076008, participant

Journal and conference papers

[1] Xu, Guizhen, Yan, Jun, Chen, Zhenxing, Huang, Tianye, Cheng, Zhuo, Shum, Perry Ping, Brambilla, Gilberto,“Design of germanium-silicon carbide hybrid waveguides for mid-infrared third-order parametric conversion”, Optics Communications, 456 (2020).

[2] Liu, JL, Chen, FX, Yan, J, Wang, DH, “CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks”, SENSORS, 19(2019).

[3] Y. Yao, Y. Wang, J. Yan and D. Wang, "A Low-Cost Portable Optical Fiber-Based Sensor for Water Turbidity Measurement," 2019 IEEE 4th Optoelectronics Global Conference (OGC), Shenzhen, China, 2019, pp. 131-135.

[4] Zhang, Xiang-Li ,Yan Jun. Semi-bit frequency compensation differential combining post-correlation processing for GNSS weak signal environment, 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems(ACIRS 2017), p 129-136, July 19, 2017.  (EI, Oral presentation)

[5] Yan Jun, Zhang Xiangli. A new design of Gold-like binary sequences, 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems(ACIRS 2017), p 118-124, July 19, 2017.

[6] Xue Rong*, Yan Jun, Hongxiang Guo, Beibei Yu, An Effective Classification Method for BCI Based on Optimized SVM by GA[C].Third Global Congress on Intelligent Systems.(GCIS 2012). Wuhan, China.2012,3-6

[7] Wang Dian-Hong, Li Dong-Ming, Yan Jun, Chen Fen-Xiong. An improved chirp typed blind watermarking algorithm based on wavelet and fractional fourier transform. 4th International Conference on Image and Graphics (ICIG 2007), China, pp 291-296, 2007.

[8] Yan J, Wang D. Sequential face recognition based on LVQ networks[C]. Suzhou, China: 2005.

[9] Jun Yan, Dianhong Wang. Face recognition based on Learning Vector Quantization Network [J]. Ship Electronic Engineering. 2004 (06).

[10] Jun Yan, Dianhong Wang. Ship image recognition based on support vector machine [J]. Optics & Optoelectronic Technology. 2004 (04).

Teaching-research programs (projects):

1. Developed the MOOC for “Information Theory and Coding” as the program leader and principal instructor, which had been launched on www.icourse163.org.;

2. Developed the MOOC for “Electrical and Electronic Technology” as one of the 4 principal instructors, which had been launched on www.icourse163.org and recognized as “the excellent online open courses for undergraduates in Hubei Province”;

3. Construction of English taught international courses for graduate students of China Universities of China (Wuhan): International course construction of information theory in English;

4. Undergraduate teaching project and teaching research project supported by the foundation of education reform for central universities: Research on the innovative practice teaching model for enterprise demand;

5. Pre-research program of the undergraduate teaching project supported by the foundation of education reform for central universities: Innovation project of robot in practice teaching;

Teaching-research papers:

[1] Yan, Xiangli Zhang. Eastern and Western Philosophy and Their Roles in Modern Scientific Research Thinking Development. Education and Teaching Forum, 2016(41): 165-166.

[2] Jun Yan, Xiangli Zhang. An analysis and comparison of the original textbooks of information theory based on the construction of international course in English. Journal of China University of Geosciences (Social Sciences Edition), 2018: 170-175.

[3] Xiangli Zhang, Jun Yan. Research on the classroom teaching mode of information theory and encoding inversion for “MOOC+SPOC”. Journal of China University of Geosciences (Social Sciences Edition), 2018: 111-116.