Dr. Bingbing Sun

Research Scientists



B1/L3 - 3203-CU07


My name is bingbing sun and I’m from China. I am a Research Scientist in KAUST currently. I have been a Postdoctoral Fellow in KAUST since Aug 2016 to March 2019. My major study is seismic imaging and inversion. Before coming to KAUST, I worked as a Research Geophysicist in Saudi Aramco (Beijing) from June, 2012 to June 2016.
I received my Ph.D. major in mechanics in July 2012 from Tsinghua university, China.
I received my B.Ed  major in mechanics engineering in July 2007 from China university of Mining and Technology.

Research Interests

     My research interest is mostly focused on seismic imaging and macro velocity model building. In Aramco, I am part of the project for 3D advanced Reverse Time Migration, I developed a code for compressing the wavefield and the compression ratio can be up to 40x. The code is routinely used in production by Aramco, and Aramco are applying for a US patent for this efficient compression technology: 
     Compressing seismic wavefields in three-dimensional reverse time migration. Saudi Aramco, first author.
     In KAUST, I developed a Robust method of combining optimal transport and matching filter in full-waveform inversion for reducing cycle skipping. This technique is applying for a US patent currently: 
     A method for a robust full waveform inversion. KAUST, first author. 
     Now, as AI becomes popular, I am also interested in applying machine learning technology to seismic imaging and inversion problem. Specially, I designed to using neural network to formulate a misfit function in full waveform inversion and such technology is applying US patent:
     A method for using a neural network to formulate an optimization problem. KAUST, first author.
     Neural networks were also adjusted to formulate a generate framework for processing seismic datasets:
     A framework for seismic data processing using machine learning. KAUST, first author. 

Selected Publications

  • B. Sun*, T. Alkahlifah, 2020, ML-descent: an optimization algorithm for FWI using machine learning, Geophysics, 85(6): R477-R492.
  • B. Sun*, T. Alkhalifah, 2020, Joint minimization of the mean and information entropy of the matching filter distribution for a robust misfit function in full-waveform inversion, IEEE Transactions on geoscience and remote sensing, 58(7): 4704-4720.
  • B. Sun*, T. Alkhalifah, 2019, The application of an optimal transport to a preconditioned data matching function for robust waveform inversion, Geophysics,84(6): R923-R945.
  • B. Sun*, T. Alkhalifah, 2019, Adaptive traveltime inversion, Geophysics. 84(4): U13-U29.
  • B. Sun*, T. Alkhalifah, 2019, Robust Full-Waveform Inversion with Radon-domain Matching filter, Geophysics, 84(5): R707-R724.


  • 2007.9 -- 2012.6  Department of Mechanics, School of Aerospace, Tsinghua Univeristy(TU), for Phd (thesis titled: wavefield modeling using curvelet and migration velocity analysis by adjoint state method).
  • 2009.10 -- 2010.10  Equipe de Geophysique, Centre de Geosciences, Ecole des Mines de Paris, one year visit supported by China scholarship project.
  • 2003.9 -- 2007.7  Department of Mechanics, School of Science, China University of Mining and Technology (CUMT),  B.D.​

Professional Profile

  • 2019.4 -- now     King Abdullah University of Science and Technology, Research Scientist 
  • 2016.7 -- 2019.3  King Abdullah University of Science and Technology, Postdoctoral Fellow
  • 2012.6 -- 2015.6  Beijing Research Center, EXPERC ARC, Saudi Aramco, Research Geophysicist

Scientific and Professional Membership

  • ​SEG
  • EAGE


  • ​Top-class scholarship of CUMT (2005, 2006, 2007)
  • Second class award of the advanced math competition in Jiangsu providence (2004)
  • Second class scholarship of TU (2009)
  • Third class scholarship of TU (2007)

KAUST Affiliations

  • SWAG
  • PSE

Research Interests Keywords

Seismic imaging Large scale/High capacity computing Machine learning