Michael Bianco

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Postdoctoral Scholar
Marine Physical Laboratory
Scripps Institution of Oceanography
University of California San Diego (UCSD)

9500 Gilman Dr. MC 0238
La Jolla, CA 92037
E-mail: mbianco [@] ucsd [DOT] edu

My Google Scholar profile

About me

I am a postdoctoral scholar in the UCSD Noiselab with Dr. Peter Gerstoft, where I am developing machine learning-based approaches to geoscience problems.

I obtained my B.S. degree in Aeronautical and Astronautical Engineering from Purdue University in 2007 and my Ph.D. from the UCSD Scripps Institution of Oceanography in 2018. My dissertation work focused on the development of machine learning and sparse modeling-based methods for geophysical inverse problems. Prior to UCSD, I was an engineer at Rocketyne, where I designed and analyzed rocket engine hardware for commerical and manned spaceflight.


2018/10/21 - Mike is attending the UMN IMA Workshop: Recent advances in machine learning and computational methods for geoscience
2018/09/27 - Mike defended his PhD! Dissertation title: “Machine learning and sparse modeling for geophysical inverse problems”
2018/06/25 - Two UCSD SRIP interns, Ruixian Liu and Hao Zhang, joined the NoiseLab to work on machine learning in geoscience
2018/06/08 - Mike gave a talk at the Berkeley Seismological Laboratory
2018/06/07 - Mike gave a talk at the Scripps Intitution of Oceanography AOS seminar series
2018/05/17 - Mike gave an invited talk at the 2018 Seismological Society of America meeting in Miami, FL [Slides]
2018/05/09 - Mike gave a lecture on dictionary learning in the UCSD ECE course ECE228: Machine learning for physical applications [Slides]
2018/04/15 - Mike gave a poster at IEEE International Conference on Acoustics, Speech, and Signal Processing in Calgary, Canada
2018/02/20 - Mike gave a talk at the Machine Learning in Solid Earth Geoscience Workshop in Santa Fe, NM


My research concerns the development of physics-based machine learning and signal processing theory for geophysical inference problems, e.g. imaging the structures of the Earth and oceans using seismic and acoustic data. My research topics include:

  • Sparse modeling, compressive sensing

  • Seismic and acoustic tomography

  • Machine Learning


  1. Q. Kong, D.T. Trugman, Z.E. Ross, M.J. Bianco, B. Meade, and P. Gerstoft, "Machine learning in seismology-Turning data into insights", Seismological Research Letters, 2018 (accepted).

  2. M.J. Bianco and P. Gerstoft, "Travel time tomography with adaptive dictionaries", IEEE Transactions on Computational Imaging, 2018, [DOI: 10.1109/TCI.2018.2862644] [arXiv]

  3. M. Wagner, M. Bianco, S. Nannuru, and P. Gerstoft, ‘‘Array Shape Calibration using Low Rank Projections," 52nd IEEE Asilomar Conf. on Signals, Systems, and Computers, 2018 (accepted).

  4. P. Gerstoft, C.F. Mecklenbrauker, W. Seong, and M. Bianco, ‘‘Introduction to compressive sensing in acoustics," Journal of the Acoustical Society of America}, 143, pp. 3731–3736, 2018.

  5. M. Bianco and P. Gerstoft, " Adaptive travel time tomography with local sparsity ", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018. [pdf]

  6. M. Bianco and P. Gerstoft, "Regularization of geophysical inversion using dictionary learning", ICASSP, 2017. [pdf]

  7. M. Bianco and P. Gerstoft, "Dictionary learning of sound speed profiles", Journal of the Acoustical Society of America, 141(3), pp. 1749-1758, 2017. [pdf]

  8. M. Bianco and P. Gerstoft, "Compressive acoustic sound speed profile estimation", Journal of the Acoustical Society of America, 139(3), pp. EL90-94, 2016. [pdf]

My CV can be downloaded here