主持项目（近五年）：

国家级：

● 国家自然科学基金重大科研仪器研制项目（课题），ERCP联合高压脉冲电场微创肝胆胰肿瘤精准治疗工作站的研制（No.81727802），课题负责人。

● 国家自然科学基金，基于初级视觉特征感知计算的无参考图像质量评价（No.61701404），主持。

省部级:

● 深度神经网络框架下的光学相干断层扫描图像质量评价及其应用（No.2020JM-438），陕西省自然科学基金面上项目，主持。

厅局级：

● 陕西省教育厅专项科研基金，基于GLBP统计特性的通用型无参考图像质量评价算法研究（No.17JK0769），主持。

● 陕西省碑林区科技计划项目，基于双目立体视觉的电力设备无人机巡检关键技术研究（No.GX1703）。

横向课题：

● 基于双目成像环境感知的输电线路巡检技术研究，项目来源：南方电网科技项目, 主持。

● 无人机自主飞行控制地面站软件开发，项目来源：上海安馨信息科技有限公司, 主持。

学术论文（近五年）：

1. Min Zhang, Abubakar Abubakar Khalid, Yifan Li, Yu Chen, “Automatic Detection of Transmission Line on UAV Inspection Images with the Statistics Approach in the DCT Domain,” International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligence 2020.

2. Min Zhang*, Wenjing Hou, Xiaomin Xu, Completely Blind Image Quality Assessment with Visual Saliency Modulated Multi-Feature Collaboration, 3rd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020.

3. Min Zhang*, Lei Zhang, Wenjing Hou, Jun Feng, Blind Image Quality Assessment with Visual Sensitivity Enhanced Dual-Channel Deep Convolutional Neural Network, Twelfth International Conference on Quality of Multimedia Experience 2020 (QoMEX).

4. Attiq Ur, Chen Yu*, Min Zhang et al., Fault detection and fault severity calculation for rotor windings based on spectral, wavelet and ratio computation analyses of rotor current signals for a doubly fed induction generator in wind turbines, Electrical Engineering 2020.

5. Min Zhang*，Yifan Li, Yu Chen, Completely Blind Image Quality Assessment using Latent Factor from Image Local Structure Representation, International Conference on Acoustics, Speech, and Signal Processing 2019.

6. Zhengzheng Yang，Lei Zhang, Min Zhang*, Jun Feng, Zheng Wu, Yi Lv, Pancreas Segmentation in Abdominal CT Scans Using Inter-/Intra-Slice Contextual Information with a Cascade Neural Network, 41st International Engineering in Medicine and Biology Conference 2019.

7. Min Zhang*，Jia-Yang Wang, Lei Zhang, Jun Feng, Yi Lv, Deep Residual Network Based Quality Assessment for SD-OCT Retinal Images: Preliminary Study, SPIE Medical Imaging, 2019.

8. Jia-Yang Wang, Lei Zhang, Min Zhang*, Jun Feng, Yi Lv, Deep Convolutional Network Based on Rank Learning for OCT Retinal Images Quality Assessment, SPIE Medical Imaging, 2019.

9. Hongyu Wang, Jun Feng, Qirong Bu, Feihong Liu, Min Zhang, Yu Ren, and Yi Lv,  Breast Mass Detection Based on Gestalt Psychology Journal of Healthcare Engineering, 2018. (SCI indexed)

10. Min Zhang*, Chisako Muramatsu, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, “Blind Image Quality Assessment Using the Joint Statistics of Generalized Local Binary Pattern，” IEEE Signal Processing Letters, 2015, 22(2): 207-210, Feb. (Citation: 75)

11. Min Zhang*, Hiroyuki Sekiguchi, Akihito Uji, Masahiro Yakami, and Kaori Togashi, "Reducing the Artifacts in the Identification of Outer Retinal Boundary in the SD-OCT Image with Inherit Retinal Dystrophies", the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015. （EI indexed）