Our research was covered by Science 26 Aug 2016

Welcome to Noiselab
University of California, San Diego
9500 Gilman Dr, La Jolla, CA 92093-0238
Directions to office

The group focuses on physics-based machine learning and signal processing mostly using just weak noise as a source. We have demonstrated this in ocean acoustics, seismology, and radar. For more details see Publications.


News

February 2024: Venkatesh Sathyanarayanan graduated with a PhD thesis "Characterization of intended and unintended RF emissions".

February 2024: Peter Gerstoft gave a talk for National Academies of Science "Machine learning for ocean sciences 2025-2035.

November 2023: Billy Jenkins graduated with a PhD thesis "Listening to Ice and Ocean: Machine Learning for Seismic and Acoustic Environmental Characterization".

September 2023: Ruixian Liu graduated with a PhD thesis "Machine learning based partial differential equation (PDE) recovery".

September 2023: Yifan Wu graduated with a PhD thesis "Data-driven and Model-based Methods for Wideband Source Localization".

June 2023: Peter Gerstoft gave the Keynote lecture on "Machine learning in room acoustics" at the 2023 Danish Acoustics day.

March 2023: Chih-Chieh Chien qualified.

January 2023: NoiseLab is using GitHub: https://github.com/NoiseLabUCSD

November 2022: Peter Gerstoft is honoured to become IEEE Fellow in the class of 2023 for contributions to environmental signal processing and geoacoustic array processing.

September 2022: Peter Gerstoft gave the Keynote lecture on "Machine learning in ocean acoustics" at the 2022 International Conference on Information Processing in Ocean Science and Technology (ICIPOST 2022).

September 2022: Byungjun Kim qualified.

April 2022: Zheng Zhou qualified.

March 2022: Venkatesh Sathyanarayanan qualified.

February 2022: Billy Jenkins qualified.

December 2021: Yifan Wu qualified.

October 2021: Brian Witheaker qualified.

August 2021: Peter Gerstoft gave a lecture on Machine learning and applications to Tomography(video link) at the LANLs Machine Learning in Solid Earth Geoscience Lecture

June 2021: Ruixian Liu qualified.

December 2020: Emma Ozanich has graduated with the PhD thesis "Machine learning for localizing and characterizing underwater passive acoustics". Dr Emma is now PostDoc at WHOI.

June 2020: Mark Wagner has graduated with the PhD thesis "Array Processing for Atmospheric Sensing". Dr Mark Wagner is now Reseach Scientist at Northrop Grumman.

May 2020: Dylan Snoover has graduated with an MSc thesis "Urban seismic noise identified with deep embedded clustering using a dense array in Long Beach, CA". Dylan is now Reseach Scientist at Boston Fusion.

February 2020: Dylan Snoover gave a talk ITA (Information Teory and Aplications) conference.

December 2019: Peter Gerstoft was Chair for Acoustic Society of America Conference at Hotel Del in Corronado. Mike Bianco and Emma Ozanich gave invited presentations.

December 2019: Dylan Snover and Peter Gerstoft both gave talks at the AGU in San Francisco.

August 2019: the Plenary lecture at the NOISE-CON 2019 Aug 27–29, 2019 on the subject of ‘’Exploring the earth with seismic noise: Anthropogenic and exogenic noise sources’’.

July 2019: Peter Gerstoft gave a 2-week course on machine learning in seismology at University of Science and Technology China (USTC) and one the way home visited and gave talks at China Earthquake Authority and Institute of Acoustics both in Beijing.

July 2019: Peter Gerstoft gave the plenary talk at the UACE conference in July 2019 on Machine Learning and applications to ocean acoutics

April 2019: Zhao Chen has graduated. Congratulations Dr Chen!

March 2019: Peter Gerstoft gave the Plenary lecture at the NOISE-CON 2019 Aug 27–29, 2019 on the subject of ‘’Using seismic noise to track cars, trains, airplanes and Greens functions’’.

February 2019: Peter Gerstoft will give the Pleneary lecture at the Underwater Acoustics Conference and Excebtion in Heraklion, Crete, June 30th – July 5th, 2019 on the subject of ‘’Machine learning and applications to ocean acoustics’’.

Janurary 2019: Emma Ozanich was awarded 2nd prize for best student presentation at the Acoustical Society fall meeting!

December 2018: Zhao Chen delivered an excelent thesis defense. Congratulations.

October 2018: Stephen Colbert has discovered my research on Antarctica!

October 2018: Michael Bianco has Graduated. Congratulations, Dr Bianco! Michael is now PostDoc in NoiseLab :-)

July 2018: The special issue Compressive Sampling in Acoustics is published in Journal of Acoustical Society of America.

June 2018: Welcome to ECE MSC students Ali Dormiani, Hao Zheng, and Ruixian Liu.

Feb 2018: Teaching Machine learning for physical applications in the spring quarter.

Dec 2017: Peter Gerstoft is giving a month-long class at Zhejian University, China, on Priciples of Underwater Acoustics.

Dec 2017: Scientic American highlighted our work on machine leaning for source localization in the ocean The 60-second science can be read here .

Dec 2017: Emma Ozanich qualified!

Nov 2017: NoiseLab is very interested in data science and its implementation at SIO/USCD. The memorandum can be read here .

Nov 2017: Peter gave talks at Seoul National University and ADD in Korea on "Machine learning in ocean acoustics".

Aug 2017: Peter gave an invited talk at Eurosip on graph signal processing.

June 2017: The group is giving five talks (two invited) (Haiquag Niu, kay Gemba, Mike Bianco, Emma Reves, Peter Gerstoft) at the Acoustical Society of America meeting spring meeting in Boston.

May 2017: The group is giving four talks (Haiquag Niu, Santosh Nannuru, Mike Bianco, Peter Gerstoft) at the workshop Big Data and The Earth Sciences: Grand Challenges Workshop .

April 2017: Teaching Machine learning for physical applications in the spring quarter.

April 2017: Gave an invited talk at Seismological Society of America's meeting on Using Graph Clustering to Locate Sources within a Dense Sensor Array .

March 2017: We have 3 presentations at the International Conference on Acoustics, Speach and Signal Processing ICASSP.

December 2016: Peter Gerstoft and Jie Li are giving a month-long class at Zhejian University, China, on Priciples of Underwater Acoustics.

November 2016: We have 4 invited talks, and 4 regular talks at Acoustical Society of America Fall meeting.

September 2016: Mike Bianco qualified. Congratulations!

August 2016: Peter Gerstoft and Peter Bromirski published a paper in Science.

June 2016: Mark Wagner qualified. Congratulations!

March 2016: Zhao Chen qualified. Congratulations!

Novenmber 2016: Zhao Chen and Anja Diez installed seimometers on the Ros Ice Shelf, Antarctica.Background webpage and blog

October 2015Post Doc Haquiang Niu and Visiting Student Jie Li joined the group. Welcome!

September 2015: Peter visited China in September 2015, mostly staying at University of Science and Technology of China in Hefei working with Professor Huajian Yao . He also gave talks at Institute of Acoustics, State Key Laboratory of Acoustics in Beijing hosted by Professor ZHANG Renhe. and at Institute of Geophysics, Chinese Academy of Sciences,in Wuhan hosted by Professor Sidau Ni.


Antarctica

Peter was in Antarctica November 2014, and Zhao and Anja followed in Antarctica November 2015.
Background webpage and blog
Scripps news release --- San Diego Union Tribune --- Antarctic Sun.


Antropogenic noise sources in Long Beach

We track cars, trains, and airplanes using 5200 element seismic array in a 7x10km area. Phys.org --- livescience.com


Classes

Class SIO202B Seismology
Class ECE295 Data Assimilation and Inverse Problems


SAGA 5.5: Seismo-acoustic inversion code using genetic algorithms or a Metropolis-Hastings sampling with ocean acoustic and electromagnetic codes.
Cabrillo 1.0: Acoustic, elastic and poroelastic wave propagation code using a finite difference Fourier spectral method on a staggered grid.
Ocean Acoustics Library/ Other I maintain part of the Ocean Acoustics Library.

Remote sensing with noise: Popular presentation of a 2009 paper at the Acoustical Society of America.
Comment on Wired to Earth hum tomography on Mars!. From 2009.

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