张锦旺，男，山西中阳人。博士（后），副教授，博士生导师，入选中国科协“青年人才托举工程”、“科技智库青年人才计划”，获孙越崎青年科技奖、全国高校矿业石油与安全工程领域优秀青年科技人才奖、绿色矿山青年科技奖、厚煤层开采青年科技奖等，入选2024中国知网高被引学者TOP 1%。现任能源学院智能采矿工程系副主任，兼任煤炭行业放顶煤开采工程研究中心副主任、中国-土耳其厚煤层开采研究中心副主任，主要从事矿山压力及岩层控制、放顶煤开采煤矸混移及自动识别方面的教学科研工作。
主持国家自然科学基金2项（面上、青年各1项）、北京市自然科学基金面上项目1项、中国博士后科学基金2项（特别资助、面上资助各1项）；主持和参与企业横向课题20余项。相关成果获省部及全国行业协会一等奖5项（排名1,4,5,11,15）、二/三等奖11项(2项排名1、3排名4)，出版学术著作2部（排名1、2），在IJMMS/RMRE（4篇）、煤炭学报（5篇）等发表论文80余篇，授权国家发明专利29件（12件排名1），登记计算机软件著作权13件（7件排名1）；兼任IJMST中青年编委、《工矿自动化》第三届青年专家委员会委员及客座副主编、第二届全国煤炭科技名词编写委员会秘书等；荣获全国煤炭行业教学成果奖一等奖（排名5）、北京市优秀毕业生、中国矿业大学（北京）优秀博士学位论文奖、青年教师教学优秀奖、优秀本科生全程导师奖、优秀班主任等。
Short Biosketch of Dr. Jinwang Zhang
Jinwang ZHANG is an associate professor working at the China University of Mining and Technology (Beijing). He was born in Dec. 1989, Shanxi Province, P. R. China. received his BA and PhD at Chongqing University and China University of Mining and Technology (Beijing) in 2012 and 2017. He is now served as an Associate Professor at China University of Mining and Technology (Beijing).
Zhang has long term experience with ground control in coal mining engineering, including caving mechanism of top coal in Longwall Top Coal Caving (LTCC), measures to improve its recovery and automatic recognition of coal and gangue(rock). Zhang received scientific and educational awards including the First Class Prize of Progress in Science and Technology Award by China National Coal Association, Outstanding Doctoral Dissertations Award by CUMTB. Zhang has authored 2 books (First and second author) and over 80 refereed papers, including selected 10 papers like:
[1] Zhang Jinwang, Zhang Yipeng, Yang Shengli*, et al. Theoretical and experimental investigation on top coal drawing mechanism considering overburden pressures in longwall top-coal caving[J]. Rock Mechanics and Rock Engineering, 2024, 104917. (中科院一区Top)
[2] Zhang Jinwang, Cheng Dongliang, Wang Jiachen*, et al. Improving recovery in sublevel top coal caving mining by using partially reverse drawing technique[J]. International Journal of Mining Science and Technology, 2024, 34(12): 1655-1676. (中科院一区Top)
[3] Zhang JW, Zhang Y, He G*, et al. Wind speed effect on infrared-image-based coal and gangue recognition with liquid intervention in LTCC. Journal of Cleaner Production. 2024,478: 143925. (中科院一区Top)
[4]Zhang JW*, Han X, Cheng DL. Improving coal/gangue recognition efficiency based on liquid intervention with infrared imager at low emissivity, Measurement, 2022, 189, 110445. (中科院二区Top)
[5]Zhang JW, Cheng, DL., Yang, YC. et al. Numerical and theoretical investigations of the effect of the gangue-coal density ratio on the drawing mechanism in longwall top-coal caving. International Journal of Coal Science & Technology, 2022, 9: 31. (中科院一区)
[6]Zhang JW*, Zhao JL, He G, et al. Effect of Secondary Intervention on recognition accuracy of coal and gangue with small gray difference. Materials Today Chemistry, 2022, 26:101244. (中科院二区)
[7] Zhang JW*, He G, Yang SL*. Controlling water temperature for efficient coal/gangue recognition, Materials Today Chemistry, 2021, 22, 100587. (中科院二区)
[8] Zhang JW*, Wang FC, Wei WJ*. Collector-assisted efficient coal/gangue recognition based on liquid intervention in longwall top coal caving. International Journal of Coal Preparation and Utilization. 2023,43(12):2065-2090. (中科院四区)
[9]Zhang JW*,He G, Wang JC, et al. Theoretical calculation model of top coal drawing body in horizontal sublevel top coal caving mining. Journal of China Coal Society，2023,48(02):576-592. (In Chinese，卓越领军)
[10]Zhang JW*,He G, Wang JC. Coal/gangue recognition accuracy based on infrared image with liquid intervention under different mixing degree. Journal of China Coal Society, 2022,47(03):1370-1381. (In Chinese，卓越领军)
Contact: Dr. Jinwang ZHANG, Associate Professor.
School of Energy and Mining Engineering
China University of Mining and Technology, Beijing
Xueyuan Road D11, Beijing 100083, PR China
Email: zhangj@cumtb.edu.cn; jinwangzhang@hotmail.com
Scopus: https://www.scopus.com/authid/detail.uri?authorId=55976865700
