张岩 博士 教授
E-mail：zy AT cilispider.com
Office：+86 532 88956997
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，访问学者
2018年4月-2018年5月，上海交通大学，访问学者
研究方向
主要研究方向包括：无损检测，计算机视觉，深度学习，智能制造，红外线、超声波等数据可视化及其应用。
主持和作为主要的技术负责人承担科研项目18项，在IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Instrumentation and Measurement, APPL SOFT COMPUT, Optics and Laser Technology等国际学术期刊和重要学术会议上发表论文80余篇。获山东省优秀博士论文、山东高等 磁力搜索
优秀科研成果贰等奖（自然科学类）（2017BK20006）（2014BZ20131）两项。
Membership
IEEE Member, ACM Member, CCF Member
Recent publications:
HLU2-Net: A Residual U-structure Embedded U-Net with Hybrid Loss for Tire Defect Inspection. IEEE Transactions on Instrumentation and Measurement
//doi.org/10.1109/TIM.2021.3126847
MFCANet: A Road Scene Segmentation Network Based on Multi-Scale Feature Fusion and Context Information Aggregation. Journal of Visual Communication and Image Representation
//doi.org/10.1016/j.jvcir.2024.104055
Automatic pixel-level detection of tire defects based on a lightweight transformer architecture. Measurement Science and Technology
//doi.org/10.1088/1361-6501/acd5f2
AGHRNet: An Attention Ghost-HRNet for Confirmation of Catch-and-Shake Locations in Jujube Fruits Vibration Harvesting. Computers and Electronics in Agriculture
//doi.org/10.1016/j.compag.2023.107921
AFFU-Net: Attention Feature Fusion U-Net with Hybrid Loss for Winter Jujube Crack Detection. Computers and Electronics in Agriculture
//doi.org/10.1016/j.compag.2022.107049
Infrared Image Stripe Noise Removing Using Least Squares and Gradient Domain Guided Filtering. Infrared Physics and Technology
//doi.org/10.1016/j.infrared.2021.103968
Automatic Detection of Defects in Tire Radiographic Images.
IEEE Transactions on Automation Science and Engineering
//dx.doi.org/10.1109/TASE.2015.2469594
Detection of damages in underwater metal plate using acoustic inverse scattering and image processing methods. Applied Acoustics
//dx.doi.org/10.1016/j.apacoust.2015.10.013
Defect detection for tire laser shearography image using curvelet transform based edge detector. Optics & Laser Technology
//dx.doi.org/10.1016/j.optlastec.2012.08.023
Detection of Foreign Bodies and Bubble Defects in Tire Radiography Images Based on Total Variation and Edge Detection. Chinese Physics Letters
//dx.doi.org/10.1088/0256-307X/30/8/084205
MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation.
Applied Soft Computing
//doi.org/10.1016/j.asoc.2021.107733
GMetaNet: Multi-scale Ghost Convolutional Neural Network with Auxiliary MetaFormer Decoding Path for Brain Tumor Segmentation. Biomedical Signal Processing and Control
//doi.org/10.1016/j.bspc.2023.104694
DPAFNet: A Residual Dual-Path Attention-Fusion Convolutional Neural Network for Multimodal Brain Tumor Segmentation. Biomedical Signal Processing and Control
//doi.org/10.1016/j.bspc.2022.104037
