李良晖，男，汉族，中共党员，安徽淮南人，1992年3月生。本科毕业于中国矿业大学，硕博毕业于中国矿业大学（北京），加拿大英属哥伦比亚大学联合培养博士，现为中国矿业大学（北京）能源与矿业学院讲师，主讲《矿山数字图像处理》等本科生、研究生课程。中绿盟十佳研究生学位论文奖获得者，入选中国科协青年人才托举工程（科协资助）。主要从事厚煤层绿色智能开采、煤岩识别与智能放煤等方面研究。主持国自然青年基金1项，省重点实验室开放基金2项，教改项目2项，研究成果获山西省科技进步一等奖1项，教育部高等学校科学研究优秀成果奖一等奖1项，中国煤炭工业协会科技进步一等奖3项、二等奖4项，中绿盟绿色矿山科学技术奖一等奖1项。发表论文30余篇，SCI/EI收录26篇，出版专著3部，参编教材1部。授权国内发明专利10项，国际专利1项，软件著作权5项。

Short Biosketch of Dr. Lianghui Li

Dr. Lianghui Li, male, was born in March 1992 in Huainan, Anhui. He earned his bachelor's degree from China University of Mining and Technology and obtained his master's and doctoral degrees from China University of Mining and Technology (Beijing). He also served as a jointly trained doctoral candidate at the University of British Columbia, Canada. He is currently a Lecturer at the School of Energy and Mining Engineering of China University of Mining and Technology (Beijing), where he teaches undergraduate and graduate courses, including “Digital Image Processing in Mining.”

Dr. Li is the recipient of the Zhongguancun Green Mine Industry Alliance Top 10 Graduate Thesis Award and has been selected for the China Association for Science and Technology Youth Talent Promotion Program. His research primarily focuses on green and intelligent mining for thick coal seams, coal–rock recognition, and intelligent top coal drawing. He has led one project funded by the National Natural Science Foundation of China (Youth Fund), two projects supported by the Provincial Key Laboratory Open Fund, and two teaching reform projects. His research achievements have earned him one First Prize in the Shanxi Province Science and Technology Progress Award, one First Prize in the Ministry of Education Higher Education Outstanding Scientific Research Achievement Award, three First Prizes and four Second Prizes in the China Coal Industry Association Science and Technology Progress Awards, and one First Prize in the Zhongguancun Green Mine Science and Technology Award. Dr. Li has published over 30 academic papers, with 26 indexed by SCI/EI, and has authored three monographs and contributed to one textbook. He holds 10 authorized domestic invention patents, one international patent, and five software copyrights.

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