职  称:编辑
研究方向:
办公电话:85099569
办公地点:401

个人简历

赵辰一,女,《物理实验》期刊编辑,理学博士。主要从事数字图像处理,模式识别与深度学习方法,核物理学与核电子技术等研究。先后主持国家自然科学基金青年项目、中国博士后科学基金项目、中央高校基本科研项目、吉林省科技厅创新平台(基地)和人才专项青年成长科技计划项目、吉林省教育厅项目等。 工作与教育经历: 2021-08至今 《物理实验》期刊 编辑 2018-11至2021-07 东北师范大学 博士后 2015-09至2018-07 东北师范大学 粒子物理与原子核物理 博士 2012-09至2015-07 东北师范大学 电路与系统 硕士 2008-09至2012-07 东北师范大学 电子信息科学与技术 学士

社会兼职

  • 2021-07至今 高等学校物理演示实验教学研究会 常务理事
  • 2022-08至今 全国高等学校实验物理教学研究会 副秘书长、常务理事

获奖情况 (数据来源:科学技术处、社会科学处)

教学信息 (数据来源:教务处)

科研信息

  • 项目:
    1. 基于瞬态场分布的小型中子照相系统超分辨率重建方法研究,国家自然科学基金青年项目,12105040,2022.01-2024.12
    2. 基于可移动中子管的中子照相图像增强方法研究,吉林省科技厅创新平台(基地)和人才专项青年成长科技计划项目,20210508027RQ,2021.07-2023.06
    3. 降质中子图像高斯与白斑噪声去除方法研究,吉林省教育厅项目, JJKH20211277KJ,2021.01-2022.12
    4. 小型中子照相系统中降质中子图像复原方法研究,中国博士后科学基金面上资助项目,2019M661186,2019.11-2021.12
    5. 降质中子图像亮斑噪声去除及模糊去除方法研究,中央高校科研启动基金,2412019QD016,2019.01-2020.12
    
    论文:
    1.H Chen, S Qiao, C Y Zhao*,T Zhang,X Y Yao,Design of moderator and collimator based on compact D-T neutron source for neutron imaging, Journal of Nuclear Science and Technology,2024:1-7.
    2. X Liu, S Qiao, T Zhang, C Y Zhao*, X Y Yao.Single-image super-resolution based on an improved asymmetric Laplacian pyramid structure, Digital Signal Processing,2024,145:104321.
    3. C Y Zhao#, W Q Yin, T Z,X Y Yao, S Qiao*. Neutron image denoising and deblurring based on generative adversarial networks, Nuclear Inst. and Methods in Physics Research, A,2023,1055:168505.
    4. J R Yang, C Y Zhao*, S Qiao, T Zhang, X Y Yao. Deep learning methods for neutron image restoration. ANN NUCL ENERGY, 2023,188:109820.
    5. S Qiao, J R Yang, T Zhang, C Y Zhao*. Layered input GradiNet for image denoising,KNOWLEDGE-BASED SYSTEMS,2022,254:109587. (1区 TOP期刊)
    6. S Qiao, Q H Yu, Z W Zhao, L Y Song, H Tao, T Zhang, C Y Zhao*. Edge extraction method for medical images based on improved local binary pattern combined with edge-aware filtering, BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2022,74:103490. 
    7. Y Pan, S Qiao, C Y Zhao*. Noise intensity estimation nethod based on PCA and weak textured block selection for neutron image,2020 International Conference on Physics and Engineering Mathematics, ICPEM 2020,1739:012023-1-6.
    8. C Y Zhao#, Y Yan, Y M Wang, S Qiao*. White spots noise removal of neutron images using improved robust principal component analysis, FUSION ENG DES,2020,156:111739.
    9. C Y Zhao#, Y Yan, H Y Li, T Zhang, S Qiao*. An effective gamma white spots removal method for CCD-based neutron images denoising, FUSION ENG DES,2020,150:111375.
    10. H Ye, S Qiao, C Y Zhao*. Improved PM Method for Neutron Image Denoising,12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, 2019,8965744:1-6.
    11. C Y Zhao#, Z Q Wang, H Y Li, X Y Wu, S Qiao*, J N Sun**. A new approach for medical image enhancement based on luminance-level modulation and gradient modulation, BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2019,48:189-196.
    12. C Y Zhao#, Z Q Wang, H Y Li, S Qiao*, J N Sun**. A Novel Images Enhancement strategy Based on Dynamic Range Compression and Details Enhancement for MRI images, 5th International Conference on Systems and Informatics,2018:993-997.
    13. 乔双, 吴晓阳, 赵辰一*, 王泽琦. 基于PCA和BM3D的噪声估计方法及其在中子图像去噪中的应用, 原子能科学技术,2018,52(4):729-736.
    14. C Y zhao#, J N sun*, S Qiao**. An investigation of p-normed sparsity evaluation for SS-LBP-based edge extraction, NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A,2017,844:77-80.
    15. C Y zhao#, J N sun*, S Qiao**, R K Zhao, W Wu. Sparsity-based shrinkage approach for practicability improvement of H-LBP-based edge extraction, NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A,2016,825:1-5.
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