Jiangbowu头像

Jiangbowu

Lecturer

Department College of Mechanical and Electrical Engineering

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Emails: bowu.jiang@mail.buct.edu.cn

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ORCID:

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10 Visits

  • Introduction
  • Research
  • Teaching
  • Funding
  • Publications
  • Awards
  • Honor Reward
  • Admission

Introduction

Dr. Bowu Jiang's research focuses on  the fields of deep learning, machine learning, digital signal processing, image processing, and elastic wave dynamics modeling, imaging, and inversion. He currently serves as a lecturer at the School of Mechanical and Electrical Engineering at Beijing University of Chemical Technology (BUCT). Prior to this position, he completed his postdoctoral research at the Department of Automation, Tsinghua University, and obtained his Ph.D. from the Institute of Geology and Geophysics, Chinese Academy of Sciences. His academic background also includes a bachelor's degree from the College of Earth Science and Technology at China University of Petroleum (East China).

Dr. Jiang has achieved significant research outcomes, particularly in multidimensional data processing and imaging. He has published papers in several high-impact international journals, including IEEE Transactions on Image Processing, IEEE Transactions on Geoscience and Remote Sensing, Petroleum Science, and GEOPHYSICS. Moreover, Dr. Jiang has been responsible for or significantly involved in multiple research projects, including the National Natural Science Foundation of China (NSFC) Youth Science Fund Project , the China Postdoctoral Science Foundation, and the Sub-project of the National Key R&D Program. These projects highlight his extensive experience in applying advanced artificial intelligence technologies to solve geophysical problems.

For more detailed information or if you are interested in learning about Dr. Jiang's specific research, you can contact him via email at bowu.jiang@mail.buct.edu.cn.


Education

Work Experience

Social Position

Social Activities

Research

1. Yonghao Wang; Bowu Jiang; Zhefeng Wei; Wenkai Lu. “Deep Velocity Generator: A Plug-In Network for FWI Enhancement, in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023, pp. 1-17, Art no. 5904217. 

2. Xingyu Tian; Wenkai Lu; Yanda Li; Jinpeng Liu; Mingrui Zhong; Hongxun Pan; Bowu Jiang. Improved seismic residual diffracted multiple suppression method based on object detection and image segmentation, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023, pp. 1-16, Art no. 5901213. 

3. Bowu Jiang and Wenkai Lu. Fast least squares prestack time migration via accelerating the explicit calculation of the Hessian with dip-angle Fresnel zone, Petroleum Science, vol. 19, no. 3, 2022, pp. 1031-1047,. 

4. Yile Ao, Wenkai Lu, Pengcheng Xu, Bowu Jiang. Seismic Dip Estimation With a Domain Knowledge Constrained Transfer Learning Approach, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022, pp. 1-16. 

5. Bowu Jiang and Wenkai Lu. Adaptive Multiple Subtraction Based on an Accelerating Iterative Curvelet Thresholding Method, IEEE Transactions on Image Processing, vol. 30, 2021, pp. 806–821. 

6. Yile Ao, Wenkai Lu, Bowu Jiang, Patrice Monkam. Seismic Structural Curvature Volume Extraction With Convolutional Neural Networks, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, 2021, pp. 7370-7384. 

7. Bowu Jiang and Wenkai Lu. Primal–Dual Optimization Strategy With Total Variation Regularization for Prestack Seismic Image Deblurring, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 1, 2021, pp. 884–893. 

8. Yile Ao, Wenkai Lu, Qiuyuan Hou, Bowu Jiang.  Sequence-to-sequence borehole formation property prediction via multi-task deep networks with sparse core calibration, Journal of Petroleum Science and Engineering, 2021, 208. 

9. Yile Ao, Wenkai Lu, Qiuquan Hou, Bowu Jiang, Synthesize Nuclear Magnetic Resonance T2 Spectrum From Conventional Logging Responses With Spectrum Regression Forest, IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 10, 2021, pp. 1726-1730. 

10. Bowu Jiang and Wenkai Lu. Adaptive multiple subtraction using a hybrid L2-L1 pattern-learning approach, GEOPHYSICS, vol 85, no. 6, 2021, V443-V456. 

11. Bowu Jiang and Jianfeng Zhang. Least-squares migration with a blockwise Hessian matrix: A prestack time-migration approach, GEOPHYSICS, vol 84, no. 4, 2019, pp. R625-R640. 

12. Bowu Jiang , Jinpeng Liu and Wenkai Lu. Adaptive multiple subtraction based on pattern-learning method using pseudo-seismic data. GEOPHYSICAL PROSPECTING FOR PETROLEUM.2022(3):423-432+443. 

13. Bowu Jiang and Jianfeng Zhang. The Split-Bregman Algorithm for Least Squares Migration in Imaging-Domain. 80th EAGE Conference and Exhibition 2018. Vol. 2018. No. 1. European Association of Geoscientists & Engineers, 2018. EI

14. Bowu Jiang and Wenkai Lu. The Split-Bregman Algorithm for Least Squares Migration in Imaging-Domain. 82nd EAGE Annual Conference & Exhibition. Vol. 2021. No. 1. European Association of Geoscientists & Engineers, 2021. EI

15. Bowu Jiang and Wenkai Lu. Fast and Robust Primary-Multiple Separation in the Curvelet Domain. 82nd EAGE Annual Conference & Exhibition. Vol. 2021. No. 1. European Association of Geoscientists & Engineers, 2021. EI


Teaching

Course NameYearHoursNumber of StudentsCourse Type
Artificial Intelligence and Applications202332153Elective
Neural Networks and Deep Learning20234889Elective
Fundamentals of Artificial Intelligence20234821Elective
Python Programming20233254Elective
Python Programming20233258Elective
Fundamentals of Artificial Intelligence20234821Elective
Artificial Intelligence and Applications20223271Elective
Python Programming20223287Elective
Python Programming20223287Elective
Artificial Intelligence and Applications20213231Elective


Postgraduates

Funding

NSFC Youth Science Fund Project: Least-Squares Migration Based on Closed-Loop CNN+RNN Hybrid Model (2021-2022), where he explored the integration of deep learning with traditional seismic imaging techniques to improve the accuracy and efficiency of subsurface imaging.

China Postdoctoral Science Foundation Grant: Least-Squares Migration and Uncertainty Quantification Based on DNN in Imaging Domain (2020-2021), focusing on the application of deep neural networks (DNN) to enhance seismic imaging and quantify uncertainties.

National Key R&D Program Sub-project: Research on Multi-source Information Compatibility Expression Based on Artificial Intelligence (2019-2024), where he investigates how AI can be used to integrate and analyze multiple sources of geophysical data for more comprehensive subsurface characterization


Vertical Project

Horizontal Project

Publications

1. Yonghao Wang; Bowu Jiang; Zhefeng Wei; Wenkai Lu. “Deep Velocity Generator: A Plug-In Network for FWI Enhancement, in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023, pp. 1-17, Art no. 5904217. 

2. Xingyu Tian; Wenkai Lu; Yanda Li; Jinpeng Liu; Mingrui Zhong; Hongxun Pan; Bowu Jiang. Improved seismic residual diffracted multiple suppression method based on object detection and image segmentation, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023, pp. 1-16, Art no. 5901213. 

3. Bowu Jiang and Wenkai Lu. Fast least squares prestack time migration via accelerating the explicit calculation of the Hessian with dip-angle Fresnel zone, Petroleum Science, vol. 19, no. 3, 2022, pp. 1031-1047,. 

4. Yile Ao, Wenkai Lu, Pengcheng Xu, Bowu Jiang. Seismic Dip Estimation With a Domain Knowledge Constrained Transfer Learning Approach, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022, pp. 1-16. 

5. Bowu Jiang and Wenkai Lu. Adaptive Multiple Subtraction Based on an Accelerating Iterative Curvelet Thresholding Method, IEEE Transactions on Image Processing, vol. 30, 2021, pp. 806–821. 

6. Yile Ao, Wenkai Lu, Bowu Jiang, Patrice Monkam. Seismic Structural Curvature Volume Extraction With Convolutional Neural Networks, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, 2021, pp. 7370-7384. 

7. Bowu Jiang and Wenkai Lu. Primal–Dual Optimization Strategy With Total Variation Regularization for Prestack Seismic Image Deblurring, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 1, 2021, pp. 884–893. 

8. Yile Ao, Wenkai Lu, Qiuyuan Hou, Bowu Jiang.  Sequence-to-sequence borehole formation property prediction via multi-task deep networks with sparse core calibration, Journal of Petroleum Science and Engineering, 2021, 208. 

9. Yile Ao, Wenkai Lu, Qiuquan Hou, Bowu Jiang, Synthesize Nuclear Magnetic Resonance T2 Spectrum From Conventional Logging Responses With Spectrum Regression Forest, IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 10, 2021, pp. 1726-1730. 

10. Bowu Jiang and Wenkai Lu. Adaptive multiple subtraction using a hybrid L2-L1 pattern-learning approach, GEOPHYSICS, vol 85, no. 6, 2021, V443-V456. 

11. Bowu Jiang and Jianfeng Zhang. Least-squares migration with a blockwise Hessian matrix: A prestack time-migration approach, GEOPHYSICS, vol 84, no. 4, 2019, pp. R625-R640. 

12. Bowu Jiang , Jinpeng Liu and Wenkai Lu. Adaptive multiple subtraction based on pattern-learning method using pseudo-seismic data. GEOPHYSICAL PROSPECTING FOR PETROLEUM.2022(3):423-432+443. 

13. Bowu Jiang and Jianfeng Zhang. The Split-Bregman Algorithm for Least Squares Migration in Imaging-Domain. 80th EAGE Conference and Exhibition 2018. Vol. 2018. No. 1. European Association of Geoscientists & Engineers, 2018. EI

14. Bowu Jiang and Wenkai Lu. The Split-Bregman Algorithm for Least Squares Migration in Imaging-Domain. 82nd EAGE Annual Conference & Exhibition. Vol. 2021. No. 1. European Association of Geoscientists & Engineers, 2021. EI

15. Bowu Jiang and Wenkai Lu. Fast and Robust Primary-Multiple Separation in the Curvelet Domain. 82nd EAGE Annual Conference & Exhibition. Vol. 2021. No. 1. European Association of Geoscientists & Engineers, 2021. EI



Awards

patent

Honor Reward

Admissions Information