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“绿色矿山青年科技奖”。现任12博BET官方网站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总工程师，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），主持北京市自然科学基金面上项目、国家重点研发计划子课题、中国博士后科学基金、国家重点实验室开放基金项目等纵向项目7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4项（排名4,5,11,15）、二等奖10项(1项排名1,3排名4)，在《International Journal of Rock Mechanics and Mining Science》、《煤炭学报》等发表论文70余篇，授权国家发明专利22件（10件排名1），登记计算机软件著作权11件（6件排名1），担任《International Journal of Mining Science and Technology》期刊中青年编委、《工矿自动化》青年专家委员会委员等；曾获北京市优秀毕业生、12bet（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
Bored in 1989, Shanxi, China, J.W. Zhang 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 1 book(second author)and over40 refereed journal papers, including selected 10 papers like:
[1]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. 2022, 1-26.
[2]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.
[3]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.
[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.
[5]Zhang JW*, He G, Yang SL*. Controlling water temperature for efficient coal/gangue recognition, Materials Today Chemistry, 2021, 22, 100587.
[6]Zhang JW*, Wang JC, Wei WJ, et al. Experimental and numerical investigation on coal drawing from thick steep seam with longwall top coal caving mining, Arabian Journal of Geosciences, 2018, 11(5), 96.
[7]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)
[8]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)
[9]Zhang JW*,Wang JC, He G.et al. An experimental study on the improvement of coal and gangue recognition efficiency by liquid intervention. Journal of China Coal Society:2021. 46(s2): 681-691.(In Chinese)
[10]Zhang JW, Wang JC*, Wei WJ, Li Lianghui. Experimental investigation on the effect of size distribution on the flow. Journal of the China Coal Society. 2019, 44(4): 985-994.(In Chinese)
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:jinwangzhang@hotmail.com
Scopus: https://www.scopus.com/authid/detail.uri?authorId=55976865700
