Dr Changbin Wang (王常彬) is research assistant at the State Key Laboratory of Coal Exploration and Intelligent Mining, China University of Mining and Technology, Xuzhou (CUMT). Dr Wang received his B.E. and M.Phil at CUMT in 2010 and 2014, respectively. In 2017, Dr Wang was awarded the scholarship by China Scholarship Council (CSC) to sponsor his PhD research under the supervision of Professor Ismet Canbulat at the University of New South Wales, Sydney (UNSW). Dr Wang defended his thesis in 2021 with outstanding research ouptputs and continue his work as a post-doc fellow at UNSW. In 2022, Dr Wang moved from Australia to China to take a faculty position at CUMT. Having been studying and working for mining industry for more than 10 years, Dr Wang determines to devote himself to explore fundamental knowledge of dynamic disasters in mines and provide industry-oriented research solutions.

Research Interests

Rock mechanics, Mine seismology, Coal and rockbursts prevention and control, Machine learning and big data application in mining

Main Publications

[1] Cao A, Wang C*, Yang X, Wang B, Zhang N, Zhao W (2024) Fractures characterization in mining field considering seismic location accuracy and its application on pre-warning coal burst hazards. Coal Science And Technology. 25(2): 1-9. (In Chinese).

[2] Wang C, Si G, Zhang C*, Cao A, Canbulat I (2023) Variation of seismicity using reinforced seismic data for coal burst risk assessment in underground mines. International Journal of Rock Mechanics and Mining Sciences 165: 105363.

[3] Cao A, Wang C, Zhang N, Li H, Liu Z, Zhi S (2022) Experimental Study on Damage Characteristics of Coal Samples under True Triaxial Loading and Dynamic Unloading. Lithosphere, 2022 (Special 11): 5447973

[4] Wang C, Si G, Zhang C*, Cao A, Canbulat I (2022) Ground motion characteristics and their cumulative impacts to burst risks in underground coal mines. Geomechanics and Geophysics for Geo-Energy and Geo-Resources 8: 39.

[5] Wang C, Si G, Zhang C*, Cao A, Canbulat I (2021) A statistical method to assess the data integrity and reliability of seismic monitoring systems in underground mines. Rock Mechanics and Rock Engineering. 54(11): 5885-5901.

[6] Wang C, Si G, Zhang C*, Cao A, Canbulat I (2021) Location error based seismic cluster analysis and its application to burst damage assessment in underground coal mines. International Journal of Rock Mechanics and Mining Sciences 143: 104784.

[7] Wang C, Cao A, Zhang C*, Canbulat I (2020) A new method to assess coal burst risks using dynamic and static loading analysis. Rock Mechanics and Rock Engineering 53: 1113–1128.

[8] Cao A., Dou L, Wang C*, Yao X., Dong J, Gu Y (2016) Microseismic Precursory Characteristics of Rock Burst Hazard in Mining Areas Near a Large Residual Coal Pillar A Case Study from Xuzhuang Coal Mine, Xuzhou, China. Rock Mechanics and Rock Engineering 49: 4407–4422.

[9] Wang C, Cao A*, Jing G, Cai W, Zhu G, Li J, Chen T (2016) Evolution characteristics of rock fracture under uniaxial loading by combining acoustic emission and CT imaging. Chinese Journal of Rock Mechanics and Engineering, 35(10): 2044-2053. (in Chinese)