張錦旺，男，山西中陽人。博士（後），副教授，博士生導師，入選中國科協“青年人才托舉工程”、“科技智庫青年人才計劃”，獲“綠色礦山青年科技獎”。現任bevictor伟德官网智能采礦工程系副主任，兼任煤炭行業放頂煤開采工程研究中心總工程師，主要從事礦山壓力及岩層控制、放頂煤開采煤矸混移及自動識别方面的教學科研工作。
主持國家自然科學基金2項（面上、青年各1項），主持北京市自然科學基金面上項目、國家重點研發計劃子課題、中國博士後科學基金、國家重點實驗室開放基金項目等縱向項目7項；主持和參與企業橫向課題20餘項。相關成果獲省部及全國行業協會一等獎4項（排名4,5,11,15）、二等獎10項(1項排名1,3排名4)，在《International Journal of Rock Mechanics and Mining Science》、《煤炭學報》等發表論文70餘篇，授權國家發明專利22件（10件排名1），登記計算機軟件著作權11件（6件排名1），擔任《International Journal of Mining Science and Technology》期刊中青年編委、《工礦自動化》青年專家委員會委員等；曾獲北京市優秀畢業生、bevictor伟德官网優秀博士學位論文獎、青年教師教學優秀獎、優秀本科生全程導師獎、優秀班主任等。
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
