邸江磊 教授

作者: 时间:2021-07-12 点击数:

邸江磊 Di Jianglei   教授

职称:教授

所属学院:信息工程学院

导师类别:博士生/硕士生导师

科研方向:计算光学成像,目标识别,光电信息处理

联系方式:13571922304,jiangleidi@gdut.edu.cn

博士招生学院:信息工程学院

硕士招生学院:信息工程学院


   


个人简述:邸江磊,广东工业大学百人计划特聘教授,博士生导师。主持国家重点研发计划项目课题、国家自然科学基金面上项目/NSAF联合基金项目、航空科学基金、国防单位委托课题等项目20余项,在国内外学术期刊发表论文100余篇,获授权国家发明专利20项。主要研究方向:

(1)基于人工智能的计算光学成像方法研究

将深度学习技术与信息光学相结合,开展基于深度学习的计算光学成像新方法研究,包括散射介质成像、水下成像、多模态信息融合等。

(2)数字全息技术

面向复杂物理场(湍流场、冲击波场、等离子场、火焰场等)和活性生物细胞、光学材料等折射率(或速度、密度、浓度、温度等)分布的高灵敏度动态可视化表征需要,开展数字全息干涉术及数字全息显微术的理论和实验研究;开展与数字全息技术相结合的TIE技术、层析技术、等离子体共振技术等的定量相位测量新技术的理论和实验研究。

3)精密光学测量仪器设计研发

根据不同的光学干涉测量系统原理方案,进行光学测量仪器的光机结构设计,及相应软件系统的整体架构及底层算法优化,进行光学精密测量仪器的设计与研发。


ResearchGate主页:https://www.researchgate.net/profile/Jianglei_Di


学科领域:

科学学位:信息与通信工程(0810)、光学工程(0803)等

专业学位:电子信息(0854)等


学术兼职:

1. 中国光学学会全息与光信息处理专业委员会 常务委员;

2. 中国仪器仪表学会图像科学与工程分会 理事;

3. OSA,SPIE and IEEE Member;

4. 中国光学学会 会员。


近三年发表的主要论文:

1. 谢俊邸江磊*秦玉文*深度学习在水下成像技术中的应用光子学报51(11): 1101001 (2022).(封面文章,特邀综述)

2. 陈建明曾祥津钟丽云邸江磊*秦玉文*基于深度学习的图像配准方法研究进展量子电子学报 39(6): 899-926 (2022).(特邀综述)

3. K. Wang, Q. Kemao*, J. Di*, J. Zhao*Deep learning spatial phase unwrapping: a comparative review, Advanced Photonics Nexus, 2022, 1(1): 014001.

4. W. Jiang, J. Wu, C. Chen, J. Chen, X. Zeng, L. Zhong, J. Di*, X. Wu*, Y. Qin, Registration of multi-modal images under a complex background combining multiscale features extraction and semantic segmentation, Optics Express, 30(20): 35596-35607 (2022).

5. J. Tang, J. Zhang, J. Dou, J. Zhang, J. Di*, J. Zhao*, Comparison of common-path off-axis digital holography and transport of intensity equation in quantitative phase measurement, Optics and Lasers in Engineering, 157:107126 (2022).

6. J. Tang, J. Zhang, J. Wu, J. Di*, J. Zhao*, Coherent noise suppression of single-shot digital holographic phase via an untrained self-supervised network [Invited], Frontiers in Photonics, 2022, 3: 907847.

7. J. Dou, C. Ma, K. Wang, J. Di, J. Zhang*, J. Zhao*, Light-field focusing and modulation through scattering media based on dual-polarization-encoded digital optical phase conjugation, Optics Letters, 47 (11), 2738-2741 (2022).

8. J. Wu, J. Tang, J. Zhang, J. Di*, Coherent noise suppression in digital holographic microscopy based on label-free deep learning, Frontiers in Physics, 10:880403 (2022).

9. M. Zhang, J. Liu, J. Dou, J. Zhang, L. Zhang, J. Di*, J. Zhao*, Simultaneous measurement of near-water-film air temperature and humidity fields based on dual-wavelength digital holographic interferometry, Optics Express, 30(10): 17278-17289 (2022).

10. J. Tan, W. Su, Z. He*, N. Huang, J. Di, L. Zhong, Y. Bai, B. Dong, S. Xie, Deep learning-based method for non-uniform motion-induced error reduction in dynamic microscopic 3D shape measurement, Optics Express, 30(14): 24245-24260 (2022).

11. J. Tang, J. Wu, J. Zhang, Z. Ren, J. Di*, J. Zhao, Single-Shot Diffraction Autofocusing: Distance Prediction via an Untrained Physics-Enhanced Network, IEEE Photonics Journal, 14(1): 5207106(2022).

12. S. Dai, J. Mi, J. Dou, H. Lu, C. Dong, L. Ren, R. Zhao, W. Shi, N. Zhang, Y. Zhou, J. Zhang*, J. Di*, J. Zhao*, microscopy for characterizing cell-substrate interactions under noninvasive optical force stimuli, Biosensors and Bioelectronics, 26: 114131(2022).

13. S. Dai, J. Mi, J. Dou, T. Yu, M. Zhang, J. Di, J. Zhang*, J. Zhao*, Dual-wavelength surface plasmon resonance holographic microscopy for simultaneous measurements of cell adhesion gap and cytoplasm refractive index, Optics Letters, 47(9): 2306-2309(2022).

14. J. Dou, C. Dong, S. Dai, J. Mi, X. Luo, J. Di, J. Zhang*, J. Zhao*, High-resolution surface plasmon resonance holographic microscopy based on symmetrical excitation, Optics and Lasers in Engineering, 153(17): 107000(2022).

15. J. Wu, J. Tang, M. Zhang, J. Di*, L. Hu, X. Wu, G. Liu, J. Zhao*, PredictionNet: a long short-term memory-based attention network for atmospheric turbulence prediction in adaptive optics, Applied Optics, 61(13): 3687-3694(2022).

16. J. Zhang, S. Dai, C. Ma, T. Xi, J. Di*, J. Zhao*, A review of common-path off-axis digital holography: towards high stable optical instrument manufacturing, Light: Advanced Manufacturing, 2: 23(2021).

17. 柯宝生,李颖,任振波,邸江磊*,赵建林*,基于深度学习的活体细胞有丝分裂检测方法,光学学报41(15): 1511001(2021).

18. S. Wang, N. Zhang, J. Di, W. Zhao, G. Shi, R. Xie, B. Hu, H. Yang*, Analysis of the effects of magnetic levitation to simulate microgravity environment on the Arp2/3 complex pathway in macrophage, Journal of Biological Physics, 47, 323-335(2021).

19. J. Tang, Z. Ren, X. Wu, J. Di*, G. Liu, J. Zhao*, Object-independent tilt detection for optical sparse aperture system with large-scale piston error via deep convolution neural network, Optics Express, 29(25): 41670-41684(2021).

20. 邸江磊*唐雎吴计王凯强张蒙蒙赵建林*卷积神经网络在光学信息处理中的应用研究进展激光与光电子学进展58(16): 1600001 (2021).(封面文章,特邀综述)

21. S. Dai, T. Yu, J. Zhang, H. Lu, J. Dou, M. Zhang, C. Dong, J. Di* and J. Zhao*, Real-time and wide-field mapping of cell-substrate adhesion gap and its evolution via surface plasmon resonance holographic microscopy, Biosensors and Bioelectronics, 174: 112826 (2021).

22. K. Wang, M. Zhang, J. Tang, L. Wang, L. Hu, X. Wu, W. Li, J. Di, G. Liu, J. Zhao*, Deep learning wavefront sensing and aberration correction in atmospheric turbulence, PhotoniX, 2(1): 1-11 (2021).

23. J. Tang, J. Wu, K. Wang, Z. Ren, X. Wu, L. Hu, J. Di*, G. Liu*, J. Zhao*, "RestoreNet-Plus: Image restoration via deep learning in optical synthetic aperture imaging system," Optics and Lasers in Engineering 146, 106707 (2021).

24. Y. Li, J. Di*, L. Ren, J. Zhao*, "Deep-learning-based prediction of living cells mitosis via quantitative phase microscopy," Chinese Optics Letters 19 (5), 051701 (2021).

25. J. Dou, S. Dai, C. Dong, J. Zhang, J. Di*, J. Zhao*, "Dual-channel illumination surface plasmon resonance holographic microscopy for resolution improvement," Optics Letters 46 (7), 1604-1607 (2021).

26. J. Di*, J. Wu, K. Wang, J. Tang, Y. Li, J. Zhao*, "Quantitative phase imaging using deep learning-based holographic microscope," Frontiers in Physics 9, 113 (2021).

27. J. Tang, K. Wang, Z. Ren, W. Zhang, X. Wu, J. Di*, G. Liu*, J. Zhao*, "RestoreNet: a deep learning framework for image restoration in optical synthetic aperture imaging system," Optics and Lasers in Engineering139, 106463 (2021).

28. J. Di*, W. Han, S. Liu, K. Wang, J. Tang, and J. Zhao*, "Sparse-view imaging of a fiber internal structure in holographic diffraction tomography via a convolutional neural network," Applied Optics 60(4): A234-A242 (2021).

29. 唐雎,王凯强,张维,吴小龑,刘国栋,邸江磊*,赵建林*,一种基于深度学习的光学合成孔径成像系统图像复原方法,光学学报40(21): 2111001 (2020).

30. K. Wang, K. Qian*, J. Di*, and J. Zhao*, "Y4-Net: a deep learning solution to one-shot dual-wavelength digital holographic reconstruction," Optics Letters 45(15):4220-4223 (2020).

31. Y. Li, J. Di*, K. Wang, S. Wang, and J. Zhao*, "Classification of cell morphology with quantitative phase microscopy and machine learning," Optics Express 28(16): 23916-23927 (2020).

32. 戴思清,豆嘉真,张继巍,邸江磊*,赵建林*,基于数字全息术的近场成像与应用,光学学报 40(1)0111008 (2020).

33. K. Wang, J. Di, Y. Li, Z. Ren, Q. Kemao*, and J. Zhao*, "Transport of intensity equation from a single intensity via deep learning," Optics and Lasers in Engineering 134: 106233 (2020).

34. C. Ma, J. Di, J. Dou, P. Li, F. Xiao, K. Liu, X. Bai, and J. Zhao*, "Structured light beams created through a multimode fiber via virtual Fourier filtering based on digital optical phase conjugation," Applied Optics 59(3), 701-705 (2020).

封面文章


近五年授权的发明专利:

1.邸江磊,王凯强,李颖,豆嘉真,戴思清,赵建林, 一种基于深度学习的全息重建算法,专利号:ZL201910000496.5;

2. 邸江磊,豆嘉真,王凯强,赵建林, 一种基于渥拉斯顿棱镜的测量样品偏振态的方法与系统,专利号:ZL201711154680.2

3. 邸江磊,王凯强,豆嘉真,赵建林, 一种基于偏振分光棱镜的测量样品偏振态的方法与系统,专利号:ZL201711154502.X

4.邸江磊,唐雎,吴计,韩文宣,许星星,张佳伟,赵建林,一种基于深度学习的复杂流场测量方法与系统,专利号:ZL202110506788.3;

5.吴小龑,刘国栋,唐雎,邸江磊,任振波,胡流森,赵建林,基于光学合成孔径成像的图像复原处理方法,专利号:ZL202110308146.2;

6.张维,张继巍,邸江磊,赵建林,一种基于温度控制的自动变焦薄膜液体透镜及制备方法,专利号:ZL202010733528.5;

7.邸江磊,王凯强,李颖,豆嘉真,戴思清,席特立,赵建林,一种基于深度学习的相位显微成像方法,专利号:ZL201910000530.9;

8.赵建林,张继巍,戴思清,邸江磊,一种具有亚纳米分辨率的薄膜厚度分布测量方法,中国发明专利,专利号:ZL201710613735.5;

9.赵建林,张继巍,戴思清,邸江磊,一种用于表面等离子体共振成像的数字全息记录方法,中国发明专利,专利号:ZL201710614343.0;


近五年主持的科研项目:

1. 国家重点研发计划课题,2021YFB2900903,面向多工业协议的容器化架构及算力增强的融合网关,2021/12-2024/11,主持;

2. 国家自然科学基金面上项目,62075183,基于深度学习的数字全息显微成像方法研究,2021/01-2024/12,主持;

3. 国家自然科学基金NSAF联合基金,U1730137,光学元件亚表面残余应力三维分布测量方法研究,2018/01-2020/12,主持;

4. 中国空空导弹研究院,XXX验证,2022/01-2022/12,主持;

5. 中国人民解放军XXX部队,XXX研制,2022/06-2022/12,主持;

6. 中国工程物理研究院流体物理研究所, XXX目标识别,2021/01-2022/12,主持;

7. 中国工程物理研究院激光聚变研究中心,XXX检测系统,2021/01-2021/12,主持;

8. 国家自然科学基金国家重大科研仪器研制项目,61927810,面向多参量动态测量的宽场无标记表面等离子体共振全息显微镜,2020/01-2024/12,参与;

9. 中国载人航天工程空间站实验舱流体物理实验柜项目,空间数字全息干涉仪,2014/01-2022/12,参与。


教学活动:

1. 教育部高等教育司产学合作协同育人项目,人工智能课程体系建设,2023/01-2023/12,主持。


我的团队:

隶属于广东工业大学先进光子技术研究院,团队专注光纤通信、光纤传感、计算光学成像、光电检测及器件等方面的研究工作。


联系方式:

指导学生参加大学生创新创业项目,并在全国各类科技竞赛多次获奖,推荐优秀学生赴欧美等高校访学深造,推荐学生赴国防院所和广深相关企业实习锻炼。感兴趣同学请联系:


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