Song Shuo

发布时间:2024-07-25 发布者: 浏览次数:

Song Shuo

Lecturer                             

Department of Mathematics and Statistics

E-MAIL:  songshuo@wust.edu.cn


Educational Background

2003--2006, Central China Normal University, Probability theory and mathematical statistics, Master.

1999--2003, Central China Normal University, Mathematics and applied mathematics, Bachelor.


Work Experience

2006--Present , lecturer , Department of Mathematics and Statistics, Wuhan University of Science and Technology, China.


Research Field

Main research field is Experimental design and Signal detection.


Academic Achievements

1. Main paper:Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decomposition and Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted, Entropy, 2023.

2.Main paper: New lower bounds for Lee discrepancy on two and three mixed levels factorials, Mathematica Scientia, 2016.

3. Major patent: The utility model relates to an automobile oil pan filter support tightening device, National invention patent, Authorization number-202210948436.8.

4.Major patent: An integrated method and device for detecting and assembling scattered parts of chain cover, National invention patent, Authorization number-201811599293.4.

5.Major patent: Chain cover scattered parts assembly testing method and device, National invention patent, Authorization number- 201811599369.3.

6.Major patent: The invention relates to a water washing impregnation process for multi-layer laminated castings, National invention patent, Authorization number-201711219253.8.

7.Results transformation project: Research and development project of filter support screw head and torque fixing device(2023H30052).

8.Hubei Province humanities and social science project: Investigation and analysis of the demand for online professional courses under the background of big data era(18Q030).

9.Hubei Provincial Department of Education guidance project: Application research of uniform design based on two kinds of important deviations(B2017008).


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