马坚伟 - 哈尔滨工业大学

个人简介

EDUCATION 1998.09 - 2002.08 Ph. D. Solid Mechanics, Tsinghua University 1994.09 - 1998.07 B. S. Engineering Mechanics, Dalian University of Technology WORK EXPERIENCE 2011.07 - Harbin Institute of Technology, Professor 2010.06 - 2011.06 Florida State University, Scientist 2006.02 - 2010.06 Tsinghua University, Assistant/Associate Professor 2005.01 - 2006.02 University of Grenoble, Postdoc Visiting Position 2017.11 - 2018.01 University of California, Los Angeles 2015.12 - 2016.01 University of Gottingen 2014.03 - 2014.09 University of Texas at Austin 2009.03 - 2009.09 Ecole des Mines de Paris 2008.05 - 2008.06 University of Grenoble 2007.06 - 2007.09 Florida State University 2006.06 - 2006.08 Ecole Polytechnique Federale de Lausanne HONOR World's Top 2% Scientists (1960-2021), 2022 CGS Science and Technology Progress Award (secod prize), 2022 Natural Science of Heilongjiang Province (first prize), 2019 CGS Technology Innovation Awards (second prize), 2018 National High Level Talent Plan, 2017 NSFC Distinguished Young Scholar, 2016 National High Level Talent Plan (Youth), 2011 Longjiang Chair Professor, 2011 New Century Excellent Talents by Ministry of Education of China, 2011 Cheng-Yi Fu Awards by Chinese Geophysical Society (CGS), 2011 China Top 100 Most Impact Papers Published in International Journals, 2010

研究领域

Seismic exploration: how to improve the resolution of oil/gas exploration by using mathematical methods? Compressed sensing: how to reconstruct unknown objects by using highly incomplete geophysical observation data? Sparse transforms: how to sparsely represent data by using less significant coefficients? Artificial intelligence: how to remove the seismic noise and improve imaging using deep learning? Data assimilation: how to optimize initial condition of equations for prediction by using real observation data?

近期论文

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Q. Liu, J. Ma*, Generative interpolation via diffusion probabilistic model, Geophysics, 2023, accepted. Z. Yu, J. Ma*, First arrival enhancement and extrapolation via third-order cumulant interferometry method, IEEE TGRS, 2023, accepted. L. Li, J. Ma*, ISANet: Deep neural network approximating image sequence assimilation for tracking fluid flows, IEEE TGRS, 2023, revised. X. Wu, J. Ma*, S. Xu, Z. Bi, J. Yang, H. Gao, D. Xie, Z. Guo, J. Zhang*, Sensing prior constraints in deep neural networks for solving exploration geophysical problems, Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023, 120, e2219573120. F. Yang, J. Ma*, FWIGAN: Full waveform inversion via a physics-informed generative adversarial network, Journal of Geophysical Research: Solid Earth, 2023, 128, e2022JB025493. W. Wang, G. McMechan, J. Ma*, Re-weighted variational FWI, Geophysics, 2023, 88 (4), R499-R512. X. Zhang, J. Ma*, S. Yu, Non-convex tensor completion for five-dimensional seismic data reconstruction, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-12. X. Wang, Y. Sui, W. Wang, J. Ma*, Random noise attenuation via an improved self-supervised deep learning method, Mathematical Geosciences, 2023, 55 (3), 401-422. Y. Wu, H. Aghamiry, S. Operto, J. Ma*, Helmholtz-equation solution in nonsmooth media by a physics-informed neural network incorporated quadratic terms and a perfectly matching layer condition, Geophysics, 2023, 88 (4), T185-T202. F. Yang, J. Ma*, Wasserstein distance-based full waveform inversion with a regularizer powered by learned gradient, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61. S. Yu*, J. Ma, Simultaneous off-the-grid regularization and interpolation for 3D seismic data by a new combined sampling operator, Geophysics, 2023, 88 (4), V291-V302. R. Zhang, P. Boue, M. Campillo, J. Ma*, Quantifying P-wave secondary microseism events: a comparison of observed and modeled back projection, Geophysical Journal International, 2023, 234 (2), 933-947. H. Zhang, W. He, J. Ma*, The back-and-forth method for the quadratic Wasserstein distance-based full-waveform inversion, Geophysics, 2023, 88 (4), R469-R483. F. Bossmann*, J. Ma, ORKA: Object reconstruction using a K-approximation graph, Inverse Problems, 2022, 38 (12), 125009. L. Zhang, G. Zhang*, Z. Fan, J. Ma, A multi-task deep learning for simultaneous denoising and inversion of 3D gravity data, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 1-17. Y. Chen, S. Yu*, J. Ma, A projection-onto-convex-sets network for 3D seismic data interpolation, Geophysics, 2023, 88 (3), V249-V265. Y. Sui, X. Wang, J. Ma*, Deep unfolding dictionary learning for seismic denoising, Geophysics, 2023, 88 (1), WA129-WA147. J. Ma, Q. Cheng, S. Fomel, M. Sacchi, R-S. Wu, Y. Liu, Y. Elita Li, Advances in mathematical geophysics--Introduction, Geophysics, 88 (1), WAI-WAII. X. Zhang, J. Ma*, H. Zhang, Curveture regularized manifold for seismic data interpolation, Geophysics, 2023, 88 (1), WA37-WA53. L. Liu, J. Ma*, DL2: Dictionary learning regularized with deep learning prior for simultaneous denoising and interpolation, Geophysics, 2023, 88 (1), WA13-WA25. H. Sun, F. Yang, J. Ma*, Seismic random noise attenuation via self-supervised transfer learning, IEEE Geoscience and Remote Sensing Letters, 2022, 19. C. Ding, J. Ma*, Automatic migration velocity analysis via deep learning, Geophysics, 2022, 87 (4), U135-U153. Y. Wu, J. Ma*, Rayleigh wave equations with couple stress: modeling and dispersion characteristic, Geophysics, 2022, 87 (1), T1-T13. L. Li, J. Ma*, F. Le Dimet, A. Vidard, Assimilation of images via dictiornary learning-based sparsity regularization strategy: an application for retrieving fluid flows, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 5907120. S. Yu, J. Ma*, Deep learning for geophysics: current and future trends, Reviews of Geophysics, 2021, 59 (3), e2021RG000742. F. Yang, T. Pham, N. Brandenberg, M. Lutolf, J. Ma*, M. Unser, Robust phase unwrapping via deep image prior for quantitative phase imaging, IEEE Transactions on Image Processing, 2021, 30, 7025-7037. W. Wang*, G. McMechan, J. Ma, Elastic isotropic and anisotropic full wave-form inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks, Geophysics, 2021, 86 (6), R795-R810. S. Yu, W. Yang, H. Li, X. Wang, J. Ma*, Scattered ground roll intelligent attenuation based on deep learning, Chinese Science Bulletin, 2021, 66 (18), 2343-2354. W. Wang*, G. McMechan, J. Ma, F. Xie, Automatic velocity picking from semblances with a new deep learning regression strategy: comparison with a classification approach, Geophysics, 2021, 86 (2), U1-U13. J. Zhang, H. Zhu, S. Yu, J. Ma*, Constructing the seismograms of future earthquakes in Yunnan, China using compressed sensing, Seismological Research Letters, 2021, 92 (1), 261-274. H. Zhang, J. Ma*, Hartley spectral pooling for deep learning, CSIAM Transactions on Applied Mathematics, 2020,1 (3), 518-529. Y. Sui, J. Ma*, Blind sparse spike deconvolution with thin layers and structure, Geophysics, 2020, 85 (6), V481-V496. J. Ma*, Random low patch-rank method for interpolation of regularly missing traces, Journal of Harbin Institute of Technology (new series): special issue for the 100th anniversary, 2020, 27 (3), 205-216. F. Yang, T. Pham, H. Gupta, M. Unser, J. Ma*, Deep learning projector for optical diffraction tomography, Optics Express, 2020, 28 (3), 3905-3921. H. Zhang, X. Yang, J. Ma*, Can learning from natural image denoising be used for seismic data interpolation?, Geophysics, 2020, 85 (4), WA115-WA136. S. Yu, J. Ma*, B. Zhao, Off-the-grid VSP data regularization by a compressive sensing method, Geophysics, 2020, 85 (2), V157-V168. W. Wang*, J. Ma, Velocity model building in a cross-well acquisition geometry with image-trained artificial neural networks, Geophysics, 2020, 85 (2), U31-U46. X. Wang, J. Ma*, Adaptive dictionary learning for blind seismic data denoising, IEEE Geoscience and Remote Sensing Letters, 2020, 17 (7), 1273-1277. F. Bossmann, J. Ma*, Enhanced image approximation using shifted rank-1 reconstruction, Inverse Problems and Imaging, 2020, 14 (2), 267-290. X. Wang, B. Wen, J. Ma*, Denoising with weak feature preservation by group-sparsity transform learning, Geophysics, 2019, 84 (6), V351-368. S. Yu, J. Ma*, W. Wang, Deep learning for denoising, Geophysics, 2019, 84 (6), V333-V350. F. Yang, J. Ma*, Deep-learning inversion: a next generation seismic velocity model building method, Geophysics, 2019, 84 (4), R583-R599. Y. Sui, J. Ma*, A nonstationary sparse spike deconvolution with anelastic attenuation, Geophysics, 2019, 84 (2), R221-R234. L. Li, A. Vidard, F. Le Dimet, J. Ma*, Topological data assimilation using Wasserstein distance, Inverse Problems, 2019, 35, 015006. K. Cai, J. Ma*, Robust estimation of multiple local dips via multidirectional component analysis, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (5), 2798-2810. Z. Liu J. Ma*, X. Yong, Line survey joint denoising via low rank minimization, Geophysics, 2019, 84 (1), V21-V32. L. Liu, J. Ma*, Structured graph dictionary learning and application on the seismic denoising, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57 (4), 1883-1893. D. Gemechu, J. Ma*, X. Yong, A compound method for noise attenuation, Geophysical Prospecting, 2018, 66, 1548-1567. L. Liu, J. Ma*, G. Plonka, Sparse graph-regularized dictionary learning for random seismic noise, Geophysics, 2018, 83 (3), V213-V231. S. Yu, J. Ma*, S. Osher, Geometric mode decomposition, Inverse Problems and Imaging, 2018, 12 (4), 831-852. Y. Jia, S. Yu, J. Ma*, Intelligent interpolation by Monte Carlo machine learning, Geophysics, 2018, 83 (2), V83-V97. S. Yu, J. Ma*, Complex variational model decomposition for slop-preserving denoising, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56 (1), 586 - 597. J. Ma*, S. Yu, Sparsity in compressive sensing, The Leading Edge, 2017, 36 (8), 308-314. (an invited short review). L. Li, F. Le Dimet, J. Ma*, A. Vidard, A level-set based image assimilation method: applications for predicting the movement of oil spills, IEEE Transactions on Geoscience and Remote Sensing, 2017, 55 (11), 6330-6343. L. Liu, G. Plonka, J. Ma*, Seismic data interpolation and denoising by learning a tensor tight frame, Inverse Problems, 2017, 33 (10), 105011. S. Yu, S. Osher, J. Ma*, Z. Shi, Noise attenuation in a low dimensional manifold, Geophysics, 2017, 82 (5), V321-V334. Y. Jia, J. Ma*, What can machine learning do for seismic data processing? an interpolation application, Geophysics, 2017, 82 (3), V163-V177. J. Fitschen*, J. Ma, S. Schuff, Removal of curtaining effects by a variational model with directional first and second order differences, Computer Vision and Image Understanding, 2017, 155, 24-32. H. Wang, M. Sacchi, J. Ma*, Linearized dynamic warping with L1-norm constraint for multi-component registration, Journal of Applied Geophysics, 2017, 139, 170-176. F. Bossmann, J. Ma*, Asymmetric chirplet transform--Part 2: phase, frequency, and chirp rate, Geophysics, 2016, 81 (6), V425-V439. C. Zhang, B. Sun*, J. Ma, H. Yang, Y. Hu, Splitting algorithm for high-order compact finite difference scheme in wave equation modeling, Geophysics, 2016, 81 (6), T295-T302. S. Yu, J. Ma*, S. Osher, Monte Carlo data-driven tight frame for seismic data recovery, Geophysics, 2016, 81 (4), V327-V340. Y. Chen, J. Ma*, S. Fomel, Double sparsity dictionary for seismic noise attenuation, Geophysics, 2016, 81 (2), V17-V30. F. Bossmann, J. Ma*, Asymmetric chirplet transform for sparse representation of seismic data, Geophysics, 2015, 80 (6), WD89-WD100. S. Yu, J. Ma*, X. Zhang, M. Sacchi, Interpolation and denoising of high-dimensional seismic data by learning a tight frame, Geophysics, 2015, 80 (5), V119-V132. S. Beckouche, J. Ma*, Simultaneously dictionary learning and denoising for seismic data, Geophysics, 2014, 79 (3), A27-A31. J. Liang, J. Ma*, X. Zhang, Seismic data restoration via data-driven tight frame, Geophysics, 2014, 79 (3), V65-V74. H. Wang, Y.-F. Chen, J. Ma*, Curvelet-based registration of multi-component seismic waves, Journal of Applied Geophysics, 2014, 104, 90-96. Y. Yang*, J. Ma, S. Osher, Seismic data reconstruction via matrix completion, Inverses Problem and Imaging, 2013, 7 (4), 1379-1392. J. Ma*, Three-dimensional irregular seismic data reconstruction via low-rank matrix completion, Geophysics, 2013, 78 (5), V181-V192. R. Shahidi*, G. Tang, J. Ma, F. Herrmann, Application of randomized sampling schemes to curvelet-based sparsity-promoting seismic data recovery, Geophysical Prospecting, 2013, 61 (5), 973-997. Q. Li, J. Ma*, G. Erlebacher, A new reweighted algorithm with support detection for compressed sensing, IEEE Signal Processing Letters, 2012, 19 (7), 419-422. Y. He, M. Y. Hussaini, J. Ma*, B. Shafei, G. Steidl, A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data, Pattern Recognition, 2012, 45, 3463-3471. J. Ma*, G. Plonka, M. Y. Hussaini, Compressive video sampling with approximate message passing decoding, IEEE Transactions on Circuits and Systems for Video Technology, 2012, 22 (9), 1354-1364. J. Wang, J. Ma*, B. Han, Qin Li, Split Bregman iterative algorithm for sparse reconstruction of electrical impedance tomography, Signal Processing, 2012, 92, 2952-2961. J. Xu, J. Ma*, D. Zhang, Y. Zhang, S. Lin, Improved total variation minimization method for compressive sensing by intra prediction, Signal Processing, 2012, 92, 2614-2623. S. Yu, A. S. Khwaja, J. Ma*, Compressed sensing of complex-value data, Signal Processing, 2012, 92, 357–362. K. Tsai, J. Ma*, D. Ye, J. Wu, Curvelet processing of MRI for local image enhancement, Int. J. Numerical Methods in Biomedical Engineering, 2012, 28 (6-7), 661-677. G. Tang*, J. Ma, H. Yang, Seismic denoising via learning sparse dictionary, Applied Geophysics, 2012, 9, 27-32. J. Ma*, M. Y. Hussaini, Extensions of compressed imaging: flying sensor, coded mask, and fast decoding, IEEE Transactions on Instrumentation and Measurement, 2011, 60 (9), 3128-3139. A. S. Khwaja, J. Ma*, Applications of compressed sensing for SAR moving target velocity estimation and image compression, IEEE Transactions on Instrumentation and Measurement, 2011, 60 (8), 2828-2860. B. Sun, H. Chauris*, J. Ma, 3D post-stack one-way migration using curvelets, Journal of Seismic Exploration, 2011, 20 (3), 257-271. G. Plonka*, J. Ma, Curvelet-wavelet regularized split Bregman iteration for compressed sensing, Int. J. Wavelet, Multiresolution Information Processing, 2011, 9 (1), 79-110. J. Ma*, Improved iterative curvelet thresholding for compressed sensing, IEEE Transactions on Instrumentation and Measurement, 2011, 60 (1), 126-136. J. Ma*, Compressed sensing by iterative thresholding of geometric wavelets: a comparing study, Int. J. Wavelet, Multiresolution Information Processing, 2011, 9, 63-77. G. Tang, J. Ma*, Applications of total variation based curvelet shrinkage for three-dimensional seismic denoising, IEEE Geoscience and Remote Sesing Letters, 2011, 8 (1), 103-107. J. Ma*, G. Plonka, The curvelet transform, IEEE Signal Processing Magazine, 2010, 27 (2), 118-133. J. Krommweh, J. Ma*, Tetrolet shrinkage with anisotropic TV minimization for image approximation, Signal Processing, 2010, 90, 2529-2539. J. Ma*, G. Plonka, H. Chauris, A new sparse representation of seismic data using adaptive easy-path wavelet transform, IEEE Geoscience and Remote Sensing Letters, 2010, 7 (3), 540-544. H. Shan, J. Ma*, Curvelet-based geodesic active contours for multiple objects image segmentation, Pattern Recognition Letters, 2010, 31 (5), 355-360. J. Liu*, J. Ba, J. Ma, H. Yang, An analysis of seismic attenuation in random porous media, Science in China, Series G, 2010, 53, 628-637. J. Ma*, Compressed sensing for surface characterization and metrology, IEEE Transactions on Instrumentation and Measurement, 2010, 59 (6), 1600-1615. T. Mi, J. Ma, H. Chauris*, H. Yang, Multilevel adaptive mesh modeling for wave propagation in layer media, Journal of Seismic Exploration, 2010, 19 (2), 121-139. J. Ma*, F.-X. Le Dimet, Deblurring from highly incomplete measurements for remote sensing, IEEE Transactions on Geoscience and Remote Sensing, 2009, 47 (3), 792-802. J. Ma*, A single-pixel imaging system for remote sensing using two-step iterative curvelet thresholding, IEEE Geoscience and Remote Sensing Letters, 2009, 6 (4), 676-680. J. Ma*, Single-pixel remote sensing, IEEE Geoscience and Remote Sensing Letters, 2009, 6 (2), 199-203. J. Ma*, M. Y. Hussaini, O. Vasilyev, F. Le Dimet, Multiscale Geometric analysis of turbulence by curvelets, Physics of Fluids, 2009, 21, 075104. H. Shan, J. Ma*, H. Yang, Comparisons of wavelets, contourlets and curvelets for seismic denoising, Journal of Applied Geophysics, 2009, 69, 103-115. B. Sun, J. Ma, H. Chauris*, H. Yang, Solving the wave equation in the curvelet domain: a multi-scale and multi-directional approach, Journal of Seismic Exploration, 2009, 18, 385-399. G. Plonka*, J. Ma, Nonlinear regularized reaction-diffusion filters for denoising of images with textures, IEEE Transactions on Image Processing, 2008, 17 (8), 1283-1294. X. Jiang*, W. Zeng, P. Scott, J. Ma, L. Blunt, Linear feature extraction based on complex ridgelet transform, Wear, 2008, 265, 428-433. J. Ma*, G. Plonka, Combined curvelet shrinkage and nonlinear anisotropic diffusion, IEEE Transactions on Image Processing, 2007, 16 (9), 2198-2206. J. Ma*, M. Y. Hussaini, There-dimensional curvelets for coherent vortex analysis of turbulence, Applied Physics Letters, 2007, 91, 184101. J. Ma*, Curvelets for surface characterization, Applied Physics Letters, 2007, 90, 054109. J. Ma*, Characterization of textual surfaces using wave atoms, Applied Physics Letters, 2007, 90, 264101. J. Ma*, Deblurring using singular integrals and curvelet shrinkage, Physics Letters A, 2007, 368, 245-250. G. Plonka*, J. Ma, Convergence of an iterative nonlinear scheme for denoising of piecewise constant images, Int. J. Wavelet, Multiresolution and Information Processing, 2007, 5, 975-995. J. Ma*, M. Fenn, Combined complex ridgelet shrinkage and total variation minimization, SIAM Journal on Scientific Computing, 2006, 28 (3), 984-1000. J. Ma*, A. Antoniadis, F.-X. Le Dimet, Curvelets-based snake for multiscale detection and tracking for geophysical fluids, IEEE Transactions on Geoscience and Remote Sensing, 2006, 44 (12), 3626-3638. J. Ma*, J. Xiang, P. Scott, Complex ridgelet for shift invariant characterization of surface topography with line singularities, Physics Letters A, 2005, 344, 423-431. J. Ma*, An exploration of multiresolution symplectic scheme for wave propagation using second generation wavelets, Physics Letters A, 2004, 328 (1), 36-46. SELECTED CONFERENCES H. Zhang, J. Ma, Optimal transport with a new preprocessing for deep-learning full waveform inversion, IEEE International Conference on Image Processing (ICIP), 2022, 1446-1450 W. Wang, G. McMechan, J. Ma, Elastic full wave-form inversion with recurrent neural networks, 90th SEG Annual Meeting, 2020. W. Wang, J. Ma, VMB-Net: A deep learning network for velocity model building in a cross-well acquisition geometry, 89th SEG Annual Meeting, 2019. X. Wang, J. Ma, Transform learning with group sparsity for random noise attenuation, 89th SEG Annual Meeting, 2019 Y. Sui, X. Wang, J. Ma, Seismic deconvolution with weak reflection using atomic norm optimization, 89th SEG Annual Meeting, 2019. W. Wang, J. Ma, PS wavefield decomposition with CNN-learned filters, 81th EAGE Annual Meeting, 2019. L. Long, A. Vidard, F. X. Le Dimet, J. Ma, Adaptive image assimilation for 2D velocity reconstruction, AOGS 16th Annual Meeting, 2019. W. Wang, F. Yang, J. Ma, Velocity model building with a modified fully convolutional network, 88th SEG Annual Meeting, 2018, pp. 2086-2090. W. Wang, F. Yang, J. Ma, Automatic salt detection with machine learning, 80th EAGE Annual Meeting, 2018. S. Yu, J. Ma, Deep learning for attenuating random and coherence noise simultaneously, 80th EAGE Annual Meeting, 2018. S. Yu, J. Ma, Deep learning for denoising, SEG International Geophysical Conference, 2018, pp. 461-464. J. Ma, Compressed sensing based high performance computing for seismic inversion, SEG Workshop on High Performance Computing, 2016, pp. 43. J. Ma, S. Yu, Seismic data interpolation with polar Fourier transform, SPG/SEG International Geophysical Conference, 2016, pp. 480-481. G. Tang, R. Shahidi, F. Herrmann, J. Ma, Higher dimensional blue-noise sampling schemes for curvelet-based seismic data recoery, 79th SEG Annual Meeting, 2009, pp. 191-195. X. Zhang, Z. Chen, J. Wen, J. Ma, Y. Han, J. Villasenor, A compressive sensing reconstruction algorithm for trinary and binary sparse signals using pre-mapping, Data Compression Conference (DCC), 2011, pp. 203-212. J. Xu, J. Ma, D. Zhang, Y. Zhang, S. Lin, Compressive video sensing based on user attention model, 28th Picture Coding Symposium (PCS), 2010, pp. 90-93. F. Le Dimet, A. Antoniadis, J. Ma, I. Herlin, E. Huot, J. Berroir, Assimilation of images in geophysical models, International Science and Technology for Space, 2006. INVITED BOOK CHAPTER J. Ma, A. S. Khwaja, M. Y. Hussaini, Compressed remote sensing, in Signal and Image Processing for Remote Sensing (Editor by Chi H. Chen), the second version, 2012, 73-90. G. Plonka, J. Ma, Curvelets, in Encyclopedia of Applied and Computational Mathematics (Editor by Bjorn Engquist), Springer Berlin, 2013.

学术兼职

Director, Professional Committee on AI Geophysics, Chinese geophysical Society, 2022 Vice Director, Professional Committee on Data Driven and Geoscience Development, Geological Society of China, 2022 Board of Directors, SEG Global Inc., 2020-2022 Member, SEG China Advisory Committee, 2021-2023 Guest Associate Editor: Geophysics, Special issue: advances in mathematical geophysics, 2022 Guest Associate Editor: The Leading Edge, Special issue: exploration geophysics in China, 2019 Associate Editor: IEEE Transactions on Geoscience and Remote Sensing (2022-2025), IEEE GRSL (2019-2022), Journal of Geophysics and Egnineering (2020-2023) Organizer for Workshop on AI Geophysics (2022) Technical Co-Chair for SEG 4th International Workshop on Mathematical Geophysics: Traditional & Learning (2021) Technical Co-Chair for SEG 3rd International Workshop on Mathematical Geophysics: Traditional vs Learning (2019) Organizer for HIT International Summer School on Mathematics and AI (2015, 2017, 2018, 2021) Technical Co-Chair for CPS/SEG International Geophysical Conference and Exposition (2018) Co-Chair for CPS/SEG Artificial Intelligence and Compressed Sensing Geophysical Workshop (2018) Co-Chair for International Workshop on Mathematical Geophysics (2015, 2017) Technical Co-Chair for SEG Workshop on Geophysical Compressed Sensing (2015) Co-Chair for International Workshop on Signal Processing, Optimization and Compressed Sensing (2013) Committee membe of CSIAM (2016-2021) IEEE Senior Member, SEGActive Member, EAGE member