陆骏 副教授

陆骏，副教授，硕士研究生导师。2013年本科毕业于南京理工大学，2015年于南京理工大学转为硕博连读，2021年于南京理工大学获博士学位，2021-2024年在南京理工大学从事博士后研究，主要研究方向为光电探测与信号处理，在此期间获得国家青年基金和国家博士后基金资助，同年作为高层次引进人才进入南京农业大学农学院工作，在国家信息农业工程技术中心从事农业传感器、农业环境信息获取的研究工作。

主要研究方向：

1.多/高光谱相机

2.农业环境抗干扰成像

3. 农业多源信息融合解析

部分发表论文：

Jun Lu, Jun Zhang, Jun Luo, Aodong Yang, Jing Han, Zhuang Zhao*. Plate additive, seam tracking technology based on feature segmentation[J]. Optics and Laser Technology, 2024, 168:109848.

 Ri Lyu^1co, Jun Lu^1co, Zhuang Zhao*, Yi Zhang, Jing Han, Lianfa Bai. Welding defects on new energy batteries based on 2D pre-processing and improved-region-growth method in the small field of view[J]. Measurement Science and Technology, 2024, 35:015409.

Jun Lu, Yang Zhao, Xiaoyu Chen, Jing Han, Zhuang Zhao*, Detection of reinforcement of multi-bead and multi-layer weld in additive manufacturing based on on-line visual information of weld pool[J]. Journal of Materials Research and Technology, 2023, 23:4678-4690.

Bin Shen^1co, Jun Lu^1co, Yiming Wang, Dongli Chen, Jing Han, Yi Zhang, Zhuang Zhao*. Multimodal-based weld reinforcement monitoring system for wire arc additive manufacturing[J]. Journal of Materials Research and Technology, 2022, 20:561-571.

Jun Lu, Aodong Yang, Xiaoyu Chen, Xingwang Xu, Ri Lv, Zhuang Zhao*. A Seam Tracking Method Based on an Image Segmentation Deep Convolutional Neural Network[J]. Metals, 2022, 12:1365.

Jun Lu, Huiying He, Yumin Shi, Lianfa Bai, Zhuang Zhao*, Jing Han*. Quantitative prediction for weld reinforcement in arc welding additive manufacturing based on molten pool image and deep residual network[J]. Additive Manufacturing, 2021, 41: 101980.

Huiying He^1co, Jun Lu^1co, Yi Zhang, Jing Han, Zhuang Zhao*. Quantitative prediction of additive manufacturing deposited layer offset based on passive visual imaging and deep residual network[J]. Journal of Manufacturing Processes, 2021, 72: 195-202.

Yiming Wang^1co, Jun Lu^1co, Zhuang Zhao*, Wenxiang Deng*, Jing Han, Lianfa Bai, Xiaowei Yang, Jianyong Yao. Active disturbance rejection control of layer width in wire arc additive manufacturing based on deep learning[J]. Journal of Manufacturing Processes, 2021, 67:364:375.

Jun Lu, Housen Xie, Xiaoyu Chen, Jing Han, Lianfa Bai, Zhuang Zhao*. Online welding quality diagnosis based on molten pool behavior prediction[J]. Optics and Laser Technology, 2020, 126: 106126.

Jun Lu, Zhuang Zhao, Jing Han, Lianfa Bai*. Hump weld bead monitoring based on transient temperature field of molten pool[J]. Optik, 2020, 208: 164031.

Jun Lu, Yumin Shi, Lianfa Bai, Zhuang Zhao, Jing Han. Collaborative and Quantitative Prediction for Reinforcement and Penetration Depth of Weld Bead Based on Molten Pool Image and Deep Residual Network[J]. IEEE Access, 2020, 8:126138-126148. 

主持项目：

1.基于热循环控制的熔焊增材质量监测方法研究，国家自然科学基金委员会，青年科学基金，2022-01至2024-12，30万元，主持

2. 基于热循环控制的熔焊增材质量监测方法研究，中国博士后科学基金会，面上资助，2021-07-2023-07，8万元，主持

接收愿意从事电子信息类及光学工程方向研究的硕士研究生，热枕欢迎具备相关专业背景的学生报考或申请！