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ORCIDMichael S. Zhdanov
Person information
- affiliation: University of Utah, Consortium for Electromagnetic Modeling and Inversion (CEMI)
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2020 – today
- 2024
[j23]Rui Wang
, Yaming Ding, Zhengwei Xu, Michael S. Zhdanov, Minghao Xian, Yu Zhang, Jun Li, Chao Jiang, Ziqing Guo:
Employing MS-UNets Networks for Multiscale 3-D Gravity Data Inversion: A Case Study in the Nordkapp Basin, Barents Sea. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024)- [j22]Rui Wang, Zhengwei Xu, Changjie Lai, Xuben Wang, Michael S. Zhdanov, Guowei Li, Zhiyao Cheng, Jun Li, Guangdong Zhao, Shengxian Liang, Hua Li, Yuxin Zhang:
Reconstructing 2-D Basement Relief Using Gravity Data by Deep Neuron Network: An Application on Poyang Basin. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j21]Yu Zhang, Zhengwei Xu, Minghao Xian, Michael S. Zhdanov, Changjie Lai, Rui Wang, Lifeng Mao, Guangdong Zhao:
3-D Basement Relief and Density Inversion Based on EfficientNetV2 Deep Learning Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j20]Zhengwei Xu, Rui Wang, Michael S. Zhdanov, Xuben Wang, Jun Li, Bing Zhang, Shengxian Liang, Yang Wang:
Inversion of the Gravity Gradiometry Data by ResUnet Network: An Application in Nordkapp Basin, Barents Sea. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - 2022
- [j19]Juntao Lu, Xuben Wang, Zhengwei Xu, Michael S. Zhdanov, Ming Guo, Minqiang Teng, Zhen Liu:
Quasi-2-D Robust Inversion of Semi-Airborne Transient Electromagnetic Data With IP Effects. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - 2021
- [j18]Nikolay B. Yavich, Nikolay I. Khokhlov, Mikhail S. Malovichko, Michael S. Zhdanov:
Contraction operator transformation for the complex heterogeneous Helmholtz equation. Comput. Math. Appl. 86: 63-72 (2021) - [j17]Xiaolei Tu, Michael S. Zhdanov:
Least Squares Migration of Synthetic Aperture Data for Towed Streamer Electromagnetic Survey. IEEE Geosci. Remote. Sens. Lett. 18(1): 97-101 (2021) - 2020
- [j16]Xiaolei Tu, Michael S. Zhdanov:
Robust Synthetic Aperture Imaging of Marine Controlled-Source Electromagnetic Data. IEEE Trans. Geosci. Remote. Sens. 58(8): 5527-5539 (2020)
2010 – 2019
- 2018
- [j15]Mikhail S. Malovichko, Nikolay I. Khokhlov, Nikolay B. Yavich, Michael S. Zhdanov:
Acoustic 3D modeling by the method of integral equations. Comput. Geosci. 111: 223-234 (2018) - 2017
- [j14]Hongzhu Cai, Xiangyun Hu, Bin Xiong, Michael S. Zhdanov:
Finite-element time-domain modeling of electromagnetic data in general dispersive medium using adaptive Padé series. Comput. Geosci. 109: 194-205 (2017) - [j13]Mikhail S. Malovichko, Nikolay I. Khokhlov, Nikolay B. Yavich, Michael S. Zhdanov:
Approximate solutions of acoustic 3D integral equation and their application to seismic modeling and full-waveform inversion. J. Comput. Phys. 346: 318-339 (2017) - [j12]Michael S. Zhdanov, Daeung Yoon, Johan Mattsson:
Rapid Imaging of Towed Streamer EM Data Using the Optimal Synthetic Aperture Method. IEEE Geosci. Remote. Sens. Lett. 14(2): 262-266 (2017) - [j11]Hongzhu Cai, Michael S. Zhdanov:
Joint Inversion of Gravity and Magnetotelluric Data for the Depth-to-Basement Estimation. IEEE Geosci. Remote. Sens. Lett. 14(8): 1228-1232 (2017) - 2016
- [j10]Hongzhu Cai, Michael S. Zhdanov:
Three-Dimensional Inversion of Magnetotelluric Data for the Sediment-Basement Interface. IEEE Geosci. Remote. Sens. Lett. 13(3): 349-353 (2016) - [j9]Mikhail S. Malovichko, Nikolay I. Khokhlov, Nikolay B. Yavich, Michael S. Zhdanov:
Parallel algorithm for 3D modeling of monochromatic acoustic field by the method of integral equations. Supercomput. Front. Innov. 3(4): 74-78 (2016) - 2015
- [j8]Daeung Yoon, Michael S. Zhdanov:
Optimal Synthetic Aperture Method for Marine Controlled-Source EM Surveys. IEEE Geosci. Remote. Sens. Lett. 12(2): 414-418 (2015) - [j7]Hongzhu Cai, Michael S. Zhdanov:
Modeling and Inversion of Magnetic Anomalies Caused by Sediment-Basement Interface Using Three-Dimensional Cauchy-Type Integrals. IEEE Geosci. Remote. Sens. Lett. 12(3): 477-481 (2015) - [j6]Zhengwei Xu, Michael S. Zhdanov:
Three-Dimensional Cole-Cole Model Inversion of Induced Polarization Data Based on Regularized Conjugate Gradient Method. IEEE Geosci. Remote. Sens. Lett. 12(6): 1180-1184 (2015) - [c1]Martin Cuma, Alexander V. Gribenko, Michael S. Zhdanov:
Inversion of magnetotelluric data using integral equation approach with variable sensitivity domain: application to earthscope MT data. XSEDE 2015: 12:1-12:10 - 2014
- [j5]Martin Cuma, Michael S. Zhdanov:
Massively parallel regularized 3D inversion of potential fields on CPUs and GPUs. Comput. Geosci. 62: 80-87 (2014) - [j4]Hongzhu Cai, Bin Xiong, Muran Han, Michael S. Zhdanov:
3D controlled-source electromagnetic modeling in anisotropic medium using edge-based finite element method. Comput. Geosci. 73: 164-176 (2014) - 2013
- [j3]Michael S. Zhdanov, Leif H. Cox:
Multinary Inversion for Tunnel Detection. IEEE Geosci. Remote. Sens. Lett. 10(5): 1100-1103 (2013)
2000 – 2009
- 2009
- [i1]Krzysztof Sikorski, Bhagirath Addepalli, Eric R. Pardyjak, Michael S. Zhdanov:
Quasi-Monte Carlo, Monte Carlo, and regularized gradient optimization methods for source characterization of atmospheric releases. Algorithms and Complexity for Continuous Problems 2009 - 2007
- [j2]Michael S. Zhdanov, Vladimir I. Dmitriev, Alexander V. Gribenko:
Integral Electric Current Method in 3-D Electromagnetic Modeling for Large Conductivity Contrast. IEEE Trans. Geosci. Remote. Sens. 45(5-1): 1282-1290 (2007) - 2006
- [j1]Takumi Ueda, Michael S. Zhdanov:
Fast numerical modeling of multitransmitter electromagnetic data using multigrid quasi-linear approximation. IEEE Trans. Geosci. Remote. Sens. 44(6): 1428-1434 (2006)
Coauthor Index
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