• 计算机视觉，人工智能，图像处理，目标检测识别/地物场景分类等

• 2021.10-至今,上海交通大学,感知科学与工程学院,长聘教轨助理教授
• 2019.09-2021.09,清华大学,电子系,博士后/助理研究员

• 2014.09-2019.07，上海交通大学，控制科学与工程，工学博士
• 2017.10-2018.11，瑞典皇家理工学院， 地理信息， 联合培养博士                          
• 2011.09-2014.06，四川大学，通信与信息系统，工学硕士            

• 2024年指导硕士生获得上海交通大学国家奖学金
• 2024年指导博士生获得GRSS-IGARSS “Student Travel Grant”
• 2024年指导博士生获得上海交通大学“赵朱木兰”博士生奖学金
• 2024年指导本科生获得第19届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛特等奖(电院当年唯一特等奖)
• 2024年指导研究生获得“中国国际大学生创新大赛”全国铜奖
• 2023年指导硕士生获得上海交通大学“中远海运”奖学金

至今已发表包括IEEE TIP、IEEE TCYB、IEEE TGRS、IEEE TSP、ISPRS P&RS等在内的SCI期刊论文60余篇，主持国自然青年科学基金、中国博士后第68批科学基金各1 项，参与包括国家自然科学基金重大\重点\面上等多个项目，多次受邀进行学术报告。

• 四川大学学报(自然科学版)、雷达学报青年编委
• IEEE Member
• IEEE Transactions on Neural Networks and Learning Systems, ISPRS P & RS, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing, IEEE Geoscience and Remote Sensing Letters, ISPRS International Journal of Geo-Information, International Journal of Remote Sensing Letters, IEEE International Conference on Pattern Recognition, 雷达学报, 遥感学报等审稿人
• 2021年IGARSS分会“Advanced Target Detection Method in SAR/PolSAR Images”联席主席(Co-Chair)
• electronics 专刊“Advanced Applications with SAR/PolSAR Images in Earth Observation Task” 客座编辑(Guest-Editor)

• 2023.01-2025.12  国自然青年基金，主持
• 2020.11-2021.09  中国博士后68批面上基金，主持

• B. C. Huang, T. Zhang*, et al., “Scattering Enhancement and Feature Fusion Network for Aircraft Detection in SAR Images,” in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Accepted, Sep., 2024.

• R. K. Zhu, T. Zhang*, et al., “A Network for Merging SAR Image Sea-land Segmentation and Coastline Detection Tasks,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), Accepted, Sep., 2024.

• S. N. Quan, T. Zhang*, et al., “Maritime Ship Detection with Concise Polarimetric Characterization Pattern,” in International Journal of Applied Earth Observation and Geoinformation (IJAG), vol.131, 103954, May, 2024.

• N. S. Xie, T. Zhang*, et al., “Dual Branch Deep Network for Ship Classification of Dual-polarized SAR Images,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.62, 5207415, Feb., 2024.

• N. S. Xie, T. Zhang*, et al., “PFDN: A Polarimetric Feature-guided Deep Network for Dual-polarized SAR Ship Classification,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.21, 4004905, Feb., 2024.

• X. Y. Xu, T. Zhang*, et al., “An Information-expanding Network for Water Body Extraction based on U-Net,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.21, 1502205, Feb., 2024.

• Z. Yang, Y. Cao, T. Zhang*, et al., “Multi-dimensional Information Expansion and Processing Network for Hyperspectal Image Classification,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.20, 4011105, pp.1-5, Sep., 2023.

• S. N. Quan, T. Zhang*, et al.,“Exploring Fine Polarimetric Decomposition Technique for Built-up Area Monitoring,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.61, 5204719, Mar. 2023. 

• T. Zhang, et al., “Information Reconstruction-based Polarimetric Covariance Matrix for PolSAR Ship Detection,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.61, 5202815, Feb., 2023.

• H. P. Gan, M. H. Shen, Y. Hua, C. Y. Ma, and T. Zhang*, “From Patch to Pixel: A Transformer-based Hierarchical Framework for Compressive Image Sensing,” in IEEE Transactions on Computing Imaging (IEEE TCI), vol.9, pp.133-146, Feb., 2023.

• T. Zhang, et al., “A Two-Stage Method for Ship Detection Using PolSAR Image,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.60, 5236918, Dec., 2022.

• Z. Yang, Z. P. Xi, T. Zhang*, et al., “CMR-CNN: Cross-Mixing Residual Network for Hyperspectral Image Classification,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), vol.15, pp. 8974-8989, Oct., 2022.

• T. Zhang, et al.,“Ship Detection of Polarimetric SAR Images Using A Nonlocal Spatial Information-Guided Method,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.19, no.4513805, Sep. 2022. 

• T. Zhang, et al.,“Region-based Polarimetric Covariance Difference Matrix for PolSAR Ship Detection,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.60, 5222016, Mar. 2022. 

• T. Zhang, et al.,“PolSAR Ship Detection Using the Superpixels-based Neighborhood Polarimetric Covariance Matrices,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.19, 4015105, Jan., 2022.

• T. Zhang, et al.,“Ship Detection from PolSAR Imagery Using the Hybrid Polarimetric Covariance Matrix,” in IEEE Geoscience and Remote Sensing Letters (IEEE GRSL), vol.18, no.9, pp.1575-1579, Sep., 2021.

• T. Zhang, et al.,“Marine Target Detection Using Dual-polarimtric SAR Imagery,” in Journal of Geodesy and Geoinformation Science, (JGGS), 4(1), 63-70, Feb., 2021. 

• T. Zhang, et al.,“PolSAR Ship Detection Using the Joint Polarimetric Information,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.58, no.11, pp.8225-8241, Nov. 2020.

• T. Zhang, et al.,“JL-GFDN: A Novel Gabor Filter-based Deep Network Using Joint Spectral-Spatial Local Binary Pattern for Hyperspectral Image Classification,” in Remote Sensing (RS), 12(12), 2016, Jun. 2020.

• T. Zhang, et al.,“Ship Detection from PolSAR Imagery Using the Ambiguity Removal Polarimetric Notch Filter,” in ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P & RS), 157:41-58, Jun., 2019.

• T. Zhang, et al.,“Ship Detection from PolSAR Imagery Using the Complete Polarimetric Covariance Difference Matrix,” in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.57, no.5, pp.2824-2839, May. 2019.

• T. Zhang, et al.,“A Ship Detector Applying  Principal Component Analysis to the Polarimetric Notch Filter,” in Remote Sensing (RS), 10(6), 948, Jun. 2018.

• T. Zhang, et al.,“PolSAR Ship Detection Based on the Polarimetric Covariance Difference Matrix,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), vol.10, no.7, pp.3348-3359, Jul. 2017.