张岩 工学博士 副教授
E-mail：zy AT qust.edu.cn
Office：+86
Mobile：+86 **
ResearcherID：P-9700-2017

教育经历
2000年9月-2004年6月，西北工业大学，计算机科学与技术专业，学士学位
2006年9月-2009年6月，青岛科技大学，控制理论与控制工程专业，硕士学位
2012年9月-2014年6月，青岛科技大学，化工过程机械专业，博士学位
2014年3月-2015年3月，法国NORMANDIE UNIVERSITÉ，GREAH实验室，访问****
工作背景
2015年12月-2017年9月，青岛科技大学，副教授
2017年9月-至今，青岛科技大学，副教授，副馆长
研究方向与社会兼职
主要研究方向包括：无损检测，故障诊断，计算机视觉，深度学习，人工智能，红外线、超声波等数据可视化及其应用。
已主持承担和作为主要的技术负责人参与科研项目16项，其中主持山东省自然科学基金1项（基于稀疏表示和视觉显著的复杂纹理背景中缺陷检测研究）、青岛市青年基础专项1项（基于深度学习的计算机视觉缺陷检测研究）；在法国NORMANDIE UNIVERSITÉ访学期间，作为主要的技术负责人参研欧盟资助课题两项（基于计算机视觉的工业机器人机械臂定位精度的测定方法、基于超声波散射成像分析的水下涡轮缺陷检测与定位方法），并建立了长期合作关系。ACM (Association for Computing Machinery)会员，中国计算机学会CCF (China Computer Federation)会员。
代表性成果
在IEEE Transactions on Automation Science and Engineering等国际学术期刊和重要学术会议上发表论文40余篇，其中SCI收录13篇。
Yan Zhang, Dimitri Lefebvre, Qingdang Li, Guangxu Li, Yutao Zhao, Bin Yu, Mario Pacas, Industrial Robot Repeatability Assessment Using Computer Vision Methods, IEEE Transactions on Industrial Informatics, Submitted.
Xuehong Cui, Yan Zhang, Yun Liu, Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding, Journal of Computational Intelligence Systems, In press. (SCI)
Yan Zhang, Dimitri Lefebvere, Qingling Li, “Automatic Detection of Defects in Tire Radiographic Images”, IEEE Transactions on Automation Science and Engineering, vol. 14, Issue: 3, pp. 1378-1386, Jul 2017.http://dx.doi.org/10.1109/TASE.2015.** (SCI)
Xuehong Cui, Yun Liu, Yan Zhang, Chuanxu Wang, Tire defects Classification with Multi-Contrast Convolutional Neural Networks, International Journal of Pattern Recognition and Artificial Intelligence, vol. 32, no. 4, ** 1-17, 2018. (SCI)
Yan Zhang, Yaya Sidibé, Gérard Maze, Fernand Leon, Fabrice Druaux, Dimitri Lefebvre, Detection of damages in underwater metal plate using acoustic inverse scattering and image processing methods, Applied Acoustics, vol. 103, pp. 110-121, February 2016. http://dx.doi.org/10.1016/j.apacoust.2015.10.013 (SCI)
ZHANG Yan, YU Bin, “Face Recognition Using a Combined Non-Negative Principal Component Analysis and Linear Discriminant Analysis Scheme,” The 6th International Congress on Image and Signal Processing, Vol. 2, pp. 758-762, 16-18 Dec. 2013. (EI)
ZHANG Yan, LI Tao, LI Qingling, “Detection of Foreign Bodies and Bubble Defects in Tire Radiography Images Based on Total Variation and Edge Detection,” Chinese Physics Letters, Vol. 30, No. 8, pp. 084205, 2013. (SCI)
ZHANG Yan, LI Tao, LI Qingling, “Defect detection for tire laser shearography image using curvelet transform based edge detector,” Optics & Laser Technology, Volume 47, Pages 64-71, April 2013. DOI information: 10.1016/j.optlastec.2012.08.023. (SCI)
ZHANG Yan, YU Bin, GU Hai-ming, “MULTI-LEVEL DOCUMENT IMAGE SEGMENTATION USING MULTI-LAYER PERCEPTRON AND SUPPORT VECTOR MACHINE,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 26, No. 6, pp.** (13 pages), DOI: 10.1142/S02**023, 2012. (SCI)
ZHANG Yan, YU Bin, GU Hai-ming, “FACE RECOGNITION USING CURVELET-BASED TWO-DIMENSIONAL PRINCIPLE COMPONENT ANALYSIS,” International Journal of Pattern Recognition and Artificial Intelligence, Vol.26, No. 3, pp. ** 1-13, DOI: 10.1142/S02**095. May 2012. (SCI)
ZHANG Yan, GU Hai-ming, Contour Based Multi-ROI Multi-Quality ROI Coding for Still Image, International Journal of Pattern Recognition and Artificial Intelligence, IJPRAI, Volume: 25, Issue: 1(2011) pp. 135-145. (SCI)
Yu Bin, Li Shan, Qiu Wenying, Chen Cheng, Chen Ruixin, Wang Lei, Wang Minghui, Zhang Yan. Accurate prediction of subcellular location of apoptosis proteins combining Chou’s PseAAC and PsePSSM based on wavelet denoising[J]. Oncotarget, 2017, 8(64): 107640. (SCI)
Bin Yu, Jia-Meng Xu, Shan Li, Cheng Chen, Rui-Xin Chen, Lei Wang, Yan Zhang, Ming-Hui Wang, Inference of Time-delayed Gene Regulatory Networks Based on Dynamic Bayesian Network Hybrid Learning Method, Oncotarget, 2017; 8:80373-80392. https://doi.org/10.18632/oncotarget.21268 (SCI)
Yu, Bin; Zhang, Yan; Zhao, Likuan, Cancer Classification by a Hybrid Method Using Microarray Gene Expression Data, Journal of Computational and Theoretical Nanoscience, Volume 12, Number 10, October 2015, pp. 3194-3200(7). (SCI)
Yu Bin, Zhang Yan, “A Simple Method for Predicting Transmembrane Proteins Based on Wavelet Transform” International Journal of Biological Sciences, vol. 9, pp. 22-33, doi: 10.7150/ijbs.5371, 2013. (SCI)
Yu Bin, Zhang Yan, “The Analysis of Colon Cancer Gene Expression Profiles and the Extraction of Informative Genes,” Journal of Computational and Theoretical Nanoscience, Volume 10, Number 5, pp. 1097-1103(7), May 2013. (SCI)
获奖
山东省优秀博士论文 2015
青岛科技大学优秀博士论文 2014
山东高等学校优秀科研成果贰等奖（自然科学类）（2014BZ20131）2014
山东高等学校科学技术贰等奖（自然科学类）（2017BK20006）2017