Short Biosketch of Dr. Lianghui Li

Bored in 1992, Anhui, China. L.H. Li received his BA at China University of Mining and Technology (CUMT) in 2014, and received his MEng and PhD at China University of Mining and Technology-Beijing (CUMTB) in 2019 and 2023. He was a visiting research student attheUniversity of Regina, Canada,in 2014, andthe University of British Columbia, Canada, from 2021 to 2022. He is now a lecturer at School of Energy and Mining Engineering of CUMTB.

L.H. Li has a long experience in green and intelligent mining for thick coal seam, coal-rock recognition, and intelligent top coal drawing. He has participated in 1 National Key R&D Program of China, 1 key project, and 2 general projects of National Natural Science Foundation of China.

L.H. Li has received 4 First Class Prizes and 4 Second Class Prizes of Provincial-Level and Industry Associations-Level Science and Technology Awards. He has published more than 30 academic papers in high-level journals, 1 monograph, and more than 10 authorized invention patents. His 10 representative papers and monograph are listed as follows:

1. Li Lianghui, Wang Jiachen, Yang Shengli, et al. Estimate of three-dimensional Wadell roundness of irregular particles using image processing and topographic analysis[J]. Construction and Building Materials, 2023, 396: 132273.

2. Li Lianghui, Wang Jiachen, Yang Shengli, et al. A voxel-based clump generation method used for DEM simulations[J]. Granular Matter, 2022, 24(3): 89.

3. Li Lianghui, Wang Jiachen, Yang Shengli, et al. Smart control methodology for light sources based on halogen lamp–a solution for eco-and user-friendly lighting in underground mining[J]. Optik, 2021, 242: 167085.

4. Li Lianghui, Wang Jiachen, Yang Shengli, et al. Binocular stereo vision based illuminance measurement used for intelligent lighting with LED[J]. Optik, 2021, 237: 166651.

5. Wang Jiachen, Li Lianghui*, Yang Shengli. Image based rock mixing ratio estimation by using illuminance analysis in underground mining [J]. International Journal of Coal Preparation and Utilization, 2022, 42(12): 3745-3762.

6. Yang Shengli, Li Lianghui*, Deng Xuejie. Disaster-causing mechanism of roof “toppling–slumping” failure in a horizontal sublevel top-coal caving face[J]. Natural Hazards, 2020, 100(2):757-780.

7. Yin Kexin*, Li Lianghui*, Di Filippo Eugenia. A numerical investigation to determine the p–y curves of laterally loaded piles[J]. Mathematics, 2021, 9(21): 2783.

8. Wang Jiachen，Li Lianghui*，Yang Shengli．Experimental study on gray and texture features extraction of coal and gangue image under different illuminance[J]. Journal of China Coal Society, 2018, 43(11): 3051-3061.

9. Wang Jiachen, Pan Weidong, Zhang Guoying, Yang Shengli, Yang Kehu, Li Lianghui*. Principles and applications of image-based recognition of withdrawn coal and intelligent control of draw opening in longwall top coal caving face[J]. Journal of China Coal Society, 2022, 47(1): 87-101.

10. Wang Jiachen, Wei Weijie, Zhang Guoying, Li Lianghui, Top coal drawing mechanism and intelligent drawing[M], Beijing, Science Press, 2022.

Contact: Dr. Lianghui Li, Lecturer

School of Energy and Mining Engineering

China University of Mining and Technology-Beijing

Xueyuan Road D11, Beijing 100083, PR China

Email: lilianghui@cumtb.edu.cn

ORCID: http://orcid.org/0000-0002-2474-056X