范剑超，教授，博士生导师，智能信息处理与建模优化研究所所长，辽宁省重点实验室副主任。辽宁省“百千万人才工程”千层次人才，辽宁省优秀博士学位论文，曾任联合国西北太平洋行动计划特殊监测和海岸环境影响评价区域活动中心（NOWPAP CEARAC）中国联络员。2007年毕业于开云平台首页 ，获得自动化专业学士学位，2012年毕业于开云平台首页 ，获得控制理论与控制工程专业博士学位。2013年-2016年随IEEE Life Fellow，欧洲科学院院士王钧教授进行博士后学习，2017年-2018年赴美国圣路易斯华盛顿大学进行访问学者交流。

主要研究方向为图像人工智能解译及大数据分析应用，内容包括：深度学习神经网络，视频图像快速处理，卫星遥感影像解译，海洋目标识别等，涉及卫星遥感、海洋科学、图像分析和人工智能等多学科交叉。荣获青年测绘地理信息科技创新人才奖，中国人工智能最高奖吴文俊自然科学奖二等奖，海洋工程科学技术奖二等奖，浙江省科技进步奖三等奖等各类型奖项20余项。

先后主持及参与国家自然科学基金，高分海洋重大科研专项，“十三五”和“十四五”国家重点研发计划，中国-东盟海上合作基金等科研项目30余项。主要包括国防科工委高分辨率对地观测系统重大科研专项高分专项海域使用动态监测子课题(41-Y30B12-9001-14/16)，国家重点研发计划“海洋环境安全保障”专项, 海上目标识别与监视系统集成与应用示范(2017YFC1404900) ，微波遥感海洋信息提取技术研究(2016 YFC1401 007)，国家自然科学基金(42076184, 41876109, 41706195)等。

在TNNLS, TFS, TGRS, TIP等期刊和国际学术会议上发表论文100余篇，著作3本，申请发明专利14项，软件著作权7项。编制国家高分辨率对地观测系统重大专项技术标准《高分海域使用动态监测技术规程》（GFB 51101-2018）1项。 

近期主要学术论文：

[1] Jianchao Fan, Zitai Sui, Xinzhe Wang. Multi-physical Interpretable Deep Learning Network for Oil Spill Identification Based on SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 2024, pp. 1-15, 10.1109/TGRS. 2024.3357800. 

[2] Jianchao Fan, Jianlin Zhou, Xinzhe Wang, Jun Wang. A Self-supervised Transformer with Feature Fusion for SAR Image Semantic Segmentation in Marine Aquaculture Monitoring. IEEE Transactions on Geosciences and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 4207915.

[3] Jianchao Fan, Shuai Zhang, Xinzhe Wang, Jun Xing. Multi-Feature Semantic Complementation Network for Marine Oil Spill Localization and Segmentation Based on SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, 3771-3783, 10.1109/JSTARS.2023.3264007.

[4] Jianchao Fan, Chuan Liu. Multi-task GANs for Oil Spill Classification and Semantic Segmentation Based on SAR Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, 2532-2546, 10.1109/JSTARS.2023. 3249680.

[5] Xinzhe Wang, Linlin Tan, Jianchao Fan*. Performance Evaluation of Mangrove Species Classification Based on Multi-source Remote Sensing Data Using Extremely Randomized Trees in Fucheng Town, Leizhou City, Guangdong Province. Remote Sensing, 2023, 15, 1386. 10.3390/rs15051386.

[6] Xinzhe Wang, Jianlin Zhou, Jianchao Fan*. IDUDL: Incremental Double Unsupervised Deep Learning Model for Marine Aquaculture SAR Images Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60(4209412): 1-12. 10.1109/TGRS.2022.3203071.

[7] Jichao Wang, Jianchao Fan*, Jun Wang*. MDOAU-net: A Light and Robust Deep Learning Model for SAR Image Classification in Aquaculture Raft Monitoring. IEEE Geoscience and Remote Sensing Letters, 2022, 19 (4504505): 1-5.

[8] Zhenyu Han, Jun Xing, Xinzhe Wang, Feiyang Xue, Jianchao Fan*. A Robust LCSE-ResNet for Marine Man-made Target Classification Based on Optical Remote Sensing Imagery. International Journal on Artificial Intelligence Tools，2022, 31(6): 2240022, 10.1142/S021821302240022X.

[9] Danchen Zheng, Jianchao Fan, Min Han. Hybrid Regularization of Diffusion Process for Visual Re-ranking. IEEE Transactions on Image Processing. 2021, 30: 3705-3719.

[10] Jianchao Fan, Xiaoxin Liu, Xinzhe Wang, Deyi Wang, Min Han. Multiple Background Island Bird Detection Based on Faster R-CNN. Cybernetics and Systems, 2021, 52(1): 26-35.

[11] Jianchao Fan, Jianhua Zhao, Wentao An, Yuanyuan Hu. Marine Floating Raft Aquaculture Detection of GF-3 PolSAR Images Based on Collective Multi-kernel Fuzzy Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12(8): 2741-2754.

[12] Jianchao Fan, Xiang Wang, Xinxin Wang, Jianhua Zhao, Xiaoxin Liu. Incremental Wishart Broad Learning System for Fast PolSAR Image Classification. IEEE Geoscience and Remote Sensing Letter. 2019, 16(12): 1854-1858.

[13] Jianchao Fan, Kai Lin, Min Han. A Novel Joint Change Detection Approach Based on Weight-clustering Sparse Autoencoders. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12(2): 685-699.

[14] Jianchao Fan, Jun Wang. A Two-phase Fuzzy Clustering Algorithm Based on Neurodynamic Optimization with Its Application for PolSAR Image Segmentation. IEEE Transactions on Fuzzy Systems, 2018, 26(1): 72-83.

[15] Yuanyuan Hu, Jianchao Fan* and Jun Wang, Classification of PolSAR Images Based on Adaptive Nonlocal Stacked Sparse Autoencoder, IEEE Geoscience and Remote Sensing Letters, 2018, 15(7): 1050-1054.

[16] Jianchao Fan, Jun Wang. A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(10): 2344-2356.

[17] Yan Zheng, Jianchao Fan, Jun Wang. A Collective Neurodynamic Approach to Constrained Global Optimization. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(5): 1206-1215.

[18] Jianchao Fan, Jun Wang, Min Han. Cooperative Coevolution for Large-scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods. IEEE Transactions on Fuzzy Systems. 2014, 22(4): 829-839.