Assist. Prof. Dr. Jiandong Huang | Numerical Simulation and Discontinuous Galerkin Method | Best Researcher Award

Assistant Professor at Sun Yat-sen University, China

Jiandong Huang is a dedicated and innovative researcher in the field of computational geophysics, with a focus on seismic wave simulation and digital signal processing techniques for oil and gas exploration. His academic and research journey reflects a consistent commitment to advancing computational methods such as the Discontinuous Galerkin Method and applying artificial intelligence in seismic imaging. His work contributes to solving complex geological problems and improving wavefield modeling accuracy. Jiandong’s diverse expertise spans across high-performance numerical methods, multi-porosity media modeling, and the integration of GPU computing in seismic simulation.

Profile

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Education

Jiandong began his academic path at the China University of Petroleum (Beijing), earning a bachelor’s degree in Surveying and Prospecting Technology and Engineering in 2017. He pursued a doctoral degree in Solid Geophysics at Peking University from 2017 to 2022, where he conducted pioneering research under the supervision of Professor Tianyue Hu. His PhD work laid the foundation for his future specialization in computational seismology. Currently, Jiandong is continuing his academic advancement as a postdoctoral fellow at Tsinghua University in the field of Computational Mathematics under the mentorship of Professor Dinghui Yang, from 2022 to 2024. His educational background combines strong theoretical grounding with advanced computational techniques, forming the basis for his research excellence.

Experience

Throughout his academic and research career, Jiandong has built experience in both theoretical and applied geophysics. He has been a principal investigator (PI) and co-PI on several national-level projects, including a Youth Program funded by the National Natural Science Foundation of China, focusing on reverse time migration in complex coupled media. As part of the China Postdoctoral Science Foundation, he leads a general program exploring poroelastic wave modeling using Discontinuous Galerkin methods. In addition, he serves as a co-PI on a major national project targeting seismic exploration in complex oil and gas reservoirs. Jiandong is also actively engaged in peer-review service for leading journals such as IEEE Transactions on Geoscience and Remote Sensing, Geophysics, and Geophysical Journal International, contributing to the global scientific community.

Research Interest

Jiandong Huang’s research interests span a variety of cutting-edge topics in geophysics and computational sciences. His core areas include digital signal processing, computational seismology, Discontinuous Galerkin Method, and the use of artificial intelligence for oil and gas exploration. He is particularly interested in high-order numerical modeling, wavefield separation, viscoacoustic and poroelastic wave equations, and the development of amplitude-preserving simulation methods on unstructured meshes. His work reflects a blend of deep theoretical understanding and practical algorithm development, aimed at addressing the computational challenges of subsurface exploration.

Award

Jiandong has received recognition for his impactful research in the geophysical sciences. He was honored with the Excellent Paper Award at the 5th Annual Meeting of Petroleum Geophysics and the Excellent Report Award at the 1st Youth Geophysical Conference hosted by the Chinese Geophysical Society. These accolades underscore his contribution to the geophysical community and his ability to communicate complex ideas effectively. His recognitions are a testament to his scholarly rigor and leadership in advancing seismic modeling methodologies.

Publication

Jiandong has published extensively in top-tier journals.

1. Huang J.D., Yang D.H., He X.J. (2023). Wavefield Separation Algorithm of Helmholtz Theory-Based Discontinuous Galerkin Method Using Unstructured Meshes on GPU. IEEE Transactions on Geoscience and Remote Sensing, 61, 5901410. (SCI Q1)

2. Huang J.D., Yang D.H., He X.J., Sui J.K., Wen J. (2023). Low- and High-order Unsplit ADE CFS-PML Boundary Conditions with Discontinuous Galerkin Method for Wavefield Simulation in Multi-porosity Media. IEEE Transactions on Geoscience and Remote Sensing, 61, 5914316. (SCI Q1)

3. Huang J.D., Yang D.H., He X.J., Liang S.L., Sui J.K., Wen J., Meng W.J. (2023). A Novel P/S Decoupling Scheme with An Exact Riemann Solver on Coupling Fluid-solid Media. IEEE Transactions on Geoscience and Remote Sensing, 61, 5914316. (SCI Q1)

4. Huang J.D., Yang D.H., He X.J. (2024). A Unified Higher-order Unsplit CFS-PML Technique for Solving Second-order Seismic Equations Using Discontinuous Galerkin Method. Journal of Computational Physics, 500, 112776. (SCI Q2)

5. Huang J.D., Yang D.H., He X.J., Liu T., Meng W.J. (2024). Amplitude-preserving P/S Wavefield Separation with the Discontinuous Galerkin Method on Unstructured Meshes. Geophysics, 89(2), P1–P14. (SCI Q2)

6. Huang J.D., Yang D.H., He X.J., Chang Y.F. (2023). Wavefield Simulation with the Discontinuous Galerkin Method for Poroelastic Wave Equation in Triple-porosity Media. Geophysics, 88(3), T121–T135. (SCI Q2)

7. Huang J.D., Yang D.H., He X.J., Sui J.K., Liang S.L. (2023). Double-pole Unsplit Complex-Frequency-Shifted Multiaxial Perfectly Matched Layer Combined with Strong-Stability-Preserved Runge-Kutta Time Discretization for Seismic Wave Equation Based on the Discontinuous Galerkin Method. Geophysics, 88(5), T259–T270. (SCI Q2)

Conclusion

Jiandong Huang is an emerging leader in computational geophysics whose research is shaping the next generation of seismic modeling and inversion technologies. His interdisciplinary approach, combining geophysics, applied mathematics, and artificial intelligence, allows him to tackle challenges in subsurface imaging with creativity and precision. With a strong publication record, prestigious awards, and leading roles in national research projects, Jiandong continues to contribute meaningfully to the advancement of oil and gas exploration science. His future work is poised to further impact high-resolution imaging and computational seismology, with potential applications in both academic research and industry practice.