ZHIGANG YAN                                                

PhD, Professor

School of Environment Science and Spatial Informatics at

China University of Mining and Technology

1# Daxue Road, Xuzhou City, Jiangsu Province, 221116, China

Email: yanzhg@cumt.edu.cn, zhg-yan@163.com

Fax: +86-516-83591301

l Education and Training

l Work Experience

Ø JAN, 2019- Present. Professor at the School of Environment Science and Spatial Informatics at China University of Mining and Technology

Ø JAN, 2009- DEC, 2018. Associate professor at the School of Environment Science and Spatial Informatics at China University of Mining and Technology

Ø OCT, 2003- DEC, 2008. Lecturer at at the School of Environment Science and Spatial Informatics at China University of Mining and Technology

Ø 1997.07-1999.09, Engineer, Xuzhou Mining BusinessGroup Co Ltd

l Research Interests

Spatio-temporal data mining, mine disaster monitoring and information processing, geo spatial data processing and modeling

l Publications

2019

Yan, Zhigang; Han, Jiazheng; Yu, Jieqing; Water inrush sources monitoring and identification based on mine IoT[J], 2019, Vol. 31, 10: 10.1002/cpe.4843

Ding, Jing; Yan, Zhigang; Wei, Xuchen; Light-weight residual learning for single image dehazing[J], JOURNAL OF ELECTRONIC IMAGING,‏2019,28(3): 033013

2017

Zhigang Yan, Kan Yao & Yuanxuan Yang, A novel adaptive differential evolution SVM model for predicting coal and gas outbursts，Journal of Difference Equations and Applications[J]，2017,VOL. 23, NOS. 1-2, 238-248.

2015

Yan, Zhigang , Yang, Yuanxuan , Li, Songnian, A Novel Intelligent Computational Model for Analyzing and Predicting Coal Mine Water Inrushs， Journal of Computational and Theoretical Nanoscience[J]，Vol. 12, 6172–6177, 2015

2014

Zhigang Yan,  and Yuanxuan Yang, Performance Analysis and Coding Strategy of ECOC SVMs， International Journal of Grid and Distributed Computing[J]，2014，7（1）：67-75

2013

Zhigang Yan , Chengling Cui, An Intelligent Model for Predicting the Damage depth of Coal Seam Floor Based on LS-SVM Optimized by PSO, Journal of Applied Sciences[J], 2013,13(11):1954-1959

Zhigang Yan,  and Yuanxuan Yang, An Experimental Study of the Hyper-parameters Distribution Region and Its Optimization Method for Support Vector Machine with Gaussian Kernel， International Journal of Signal Processing, Image Processing and Pattern Recognition[J], 2013, 6(5 ):437-446

before

Yan, Zhigang, Bai, Haibo, Mmh support vector machines model for recognizing multi-headstream of water inrush in mine, Chinese Journal of Rock Mechanics and Engineering[J], 2009, 28(2):324-329.

Yan, Zhigang,  Du, Peijun, Construction methods for H-SVMs, Journal of Southeast University (Natural Science Edition) [J]，2009，9(suppl):204-209

Yan, Zhigang,  Du, Peijun, Generalization Performance Analysis of M-SVMs,JOURNAL OF DATA ACQUISITION & PROCESSING [J], 2009, 24(4): 469-475

Yan Zhigang, ZHANG Hai-rong, Du Peijun, Application of SVM to Analyze the Headstream of Water Inrush in Coal Mine, International Journal of Mining Science and Technology, 2006 , 16 (4) :433-438

Yan Zhigang,  Du Peijun, ZHANG Hai-rong, Processing Predictors of Water Inrush in Coal Mines Using a SVM-RS Model, Journal of China University of Mining & Technology[J], 2008 , 37 (3) :295-299.

Yan Zhigang,  Du Peijun, GUO Dazhi, SVM models for analysing the headstreams of mine water inrush, JOURNAL OF CHINA COAL SOCIETY, 2007 , 32 (8) :842-847

l Projects（2010-2021）

1. Mine water inrush data mining and prediction and warning based on support vector machine and manifold learning, Supported by NSFC, 2009-2011, Grant No. 40802061

2. Clustering model and application of spatio-temporal evolution process of mine hazard sensing data based on domain knowledge, Supported by NSFC, 2013-2017. Grant No. 41271445

3. Prediction and early warning model for spatiotemporal evolutionary process of mine disaster based on the fusion of deep learning and SVM, Supported by NSFC, 2020-2013. Grant No. 41971370.

l Supervised Graduates and On-study graduate students

7 master students, 18 graduates

2 doctoral students

l Awards

2008 Top 100 best Undergraduate Teacher Award

2009 Outstanding young teachers of China University of Mining and Technology

2010  Teaching quality Award at China University of Mining and Technology(Ⅱ, R1)

2012 Top 100 best Undergraduate Teacher Award

2013 Top 100 best Undergraduate Teacher Award

2014  Teaching quality Award at China University of Mining and Technology(Ⅰ, R1)

2015 Geographic Information Science and Technology Progress Award (Ⅲ, R3)