计算编码光谱成像、焊接质量诊断、工业检测

2019.01-2021.05，南京理工大学，电子工程与光电技术学院，博士后

2021.05-至今，南京理工大学，电子工程与光电技术学院，副教授

1、江苏省科学技术一等奖，机载全天候智能感知系统关键技术及应用，2020.11；
2、国防技术发明二等奖，窄带光谱扫描红外探测技术及应用，2020.12；
3、中国光学工程学会科技进步一等奖，高灵敏高分辨快速编码光谱成像感知技术，2022.12；
4、南京理工大学科技成果一等奖，熔焊增材成形多物理场在线智能检测技术，2022.09；
5、中国图象图形学学会高等教育教学成果一等奖，国防特色智能光电传感研究生培养探索与实践，2022.11；
6、全国“互联网+”大学生双创大赛金奖，焊接相机—国内首创瞬态光谱成像焊接质量在线监控系统，2019.11，优秀创新创业导师。

中国图象图形学会CSIG视觉检测专委会委员，30余种国际知名SCI期刊审稿人。

1、国家自然科学基金，面上项目，62271263，面向无人机载农业监测的欠采样编码快速光谱成像技术研究，2023.1-2026.12，54万元，在研，主持；

2、国家自然科学基金，重大仪器项目，61727802，熔焊与增材成形熔池多物理场在线测量仪，2018.01-2022.12，966万元，结题，为主参与；

3、国家自然科学基金，青年科学基金项目，61901220，焊接诊断中瞬态光谱单次编码可靠降噪机理研究，2020.1- 2022.12，25万元，结题，主持；

4、装备发展部领域基金，61404160203，超高光谱分辨红外辐射特性被动快速测量技术，2019.1-2020.12，50万元，结题，主持；

5、国家自然科学基金，重点项目，62031018，高灵敏多光谱微光散射成像理论与方法，2021.1-2025.12，300万元，在研，为主参与；

6、江苏省重点研发计划-现代农业重点项目，BE2022391，水产养殖要素全光智能监测技术和装备研制，2022.7-2026.6，450万元，在研，为主参与。

1、Zhuang Zhao, Lianfa Bai, Jing Han, Jiang Yue*. High-SNR snapshot multiplex spectrometer with sub-Hadamard-S matrix coding[J]. Optics Communications, 2019, 453: 124322.

2、Zhuang Zhao, Lisheng Deng, Lianfa Bai*, Yi Zhang, Jing Han. Optimal imaging band selection mechanism of weld pool vision based on spectrum analysis[J]. Optics & Laser Technology, 2019, 110: 145-151.

3、Rongwei Yu, Jing Han, Lianfa Bai, Zhuang Zhao*. Identification of butt welded joint penetration based on infrared thermal imaging[J]. Journal of Materials Research and Technology, 2021, 12: 1486-1495.

4、Jun Lu, Huiying He, Yuming 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.

5、Zhuang Zhao*, Jun Luo, Yeyu Wang, Lianfa Bai, Jing Han. Additive seam tracking technology based on laser vision[J]. The International Journal of Advanced Manufacturing Technology, 2021: 1-15.

6、Yiming Wang, Jun Lu, 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.

7、Yiming Wang, Xingwang Xu, Zhuang Zhao*, Wenxiang Deng, Jing Han, Lianfa Bai, Xiaowei Yang, Jianyong Yao. Coordinated monitoring and control method of deposited layer width and reinforcement in WAAM process[J]. Journal of Manufacturing Processes, 2021, 71: 306-316.

8、Rongwei Yu, Huiying He, Jing Han, Lianfa Bai, Zhuang Zhao, Jun Lu. Monitoring of back bead penetration based on temperature sensing and deep learning[J]. Measurement, 2021: 110410.

9、Huiying He, Jun Lu, 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.

10、Bingchen Wei, Zhuang Zhao*, Jing Han, Jun Lu, Haocun Qi. Rapid Hyperspectral Imaging System Via Sub-Sampling Coding[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.

11、Haocun Qi, Shu Zhang, Zhuang Zhao*, Jing Han*, Lianfa Bai. A super-resolution fusion video imaging spectrometer based on single-pixel camera[J]. Optics Communications, 2022: 128464.

12、Hui Xie, Zhuang Zhao*, Jing Han, Yi Zhang, Lianfa Bai, Jun Lu. Dual camera snapshot hyperspectral imaging system via physics-informed learning[J]. Optics and Lasers in Engineering, 2022, 154: 107023.

13、Bin Shen , Jun Lu, 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.

14、Zijian Wu, Peng Gao, Jing Han, Lianfa Bai, Jun Lu, Zhuang Zhao*. Real-time segmentation network for accurate weld detection in large weldments[J]. Engineering Applications of Artificial Intelligence, 2022: 105008.

15、Hui Xie, Jun Lu, Jing Han, Yi Zhang, Fengchao Xiong, Zhuang Zhao*. Fourier coded aperture transform hyperspectral imaging system[J]. Optics and Lasers in Engineering, 2023, 163: 107443.

16、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

柏连发，韩静，赵壮；熔焊增材成形熔池多物理场在线测量技术, 科学出版社, 2020 (学术专著).

申请发明国家专利超30项，授权20余项