Earth Imaging: Signals & Algorithms

Tolulope Olugboji (Principal Investigator)

Launch YoUR Career @UR

The Olugboji Earth imaging lab uses our planet’s vibrations to understand its internal anatomy and trace its dynamic history. This involves conducting planetary imaging using novel algorithms that enable Earth exploration. Our group comprises earth scientists, electrical engineers, computer and data scientists. Our research spans the entire globe and out to Mars. To discuss research interests please come up with creative ideas that overlap with current research themes before scheduling a meeting.

Projects @ URSeismo

Earth Imaging with Ground Vibration

Our research integrates innovative algorithms and large datasets, leveraging high-performance computing. We focus on: Global ocean structure, crust and mantle imaging, probabilistic deconvolution, Earth imaging with AI, Mars crustal structure, global Earth modeling with large arrays, noise monitoring, signal reconstruction, stress modeling with earthquakes, and machine learning on vast datasets. These efforts advance Earth system science, offering new insights into terrestrial and planetary structures.

Research @ URSeismo

Learn about our Dynamic Planet

Our courses equip students with the knowledge and skills to tackle pressing global challenges. Earth imaging and remote sensing uncover the planet's details and reveal natural hazards like severe weather, landslides, and tsunamis. Topics such as signal estimation and earthquake detection enhance early warning systems. Enroll in Nature’s Fury, Data Analysis, Earth Imaging, and Signal Processing, available for all levels. Check our listings for available courses today!

Courses @ URSeismo

We are Open for Science

Our people, space, and collaborative culture drive innovation in science! We are Open for Science with a modern computing lab featuring teleconference capabilities, dedicated spaces for research and software development, and multi-core, dual-display iMacs. Leverage advanced high-performance computing with GPUs and hundreds of compute cores. Navigate to the ‘people’ section to learn about our team and their current projects. Join us in advancing scientific exploration!

Facilities @ URSeismo

Preprint Alert: Taxonomy of Upper Mantle Layering in US

Read preprint submitted to JGR here: Steve Carr** and Tolulope Olugboji. A Taxonomy of Upper Mantle Stratification in the US, in review at AGU-Advances. (DOI: 10.22541/essoar.170533935.54641104/v1)

Grant Alert: Joel wins SSA Travel Grant (Twice)

Second time in a row (2023 and 2024) See news here: https://www.seismosoc.org/awards/travel-grant-types/past-annual-meeting-travel-grant-recipients/

PhD Paper Alert: Crust Imaging with Noisy Data (CRSIP-RF)

Read paper by: Ziqi Zhang** and Tolulope Olugboji. Crustal Imaging with Noisy Receiver Functions, BSSA, https://doi.org/10.1785/0120230254. [preprint-pdf].

PhD preprint Alert: Intraplate Stress in West Africa

Paper by Joel Legre under review, see Jean-Joel Legre** and Tolulope Olugboji. The Intraplate Stress Field of West Africa (DOI: 10.22541/au.170258905.55906211/v1)

Paper Alert: Detecting Mantle Reflectors with CRISP-RF

See new paper: Tolulope Olugboji, Ziqi Zhang**, Steve Carr**, Canberk Ekmecki** and Mujdat Cetin. On the Detection of Upper Mantle Discontinuities with Radon-Transformed Ps Receiver Functions (CRISP-RF), GJI, https://doi.org/10.1093/gji/ggad447. [pdf].

Congrats! Evan’s Second PhD paper Published

Evan’s paper has been accepted for publication by JGR, Solid Earth. His paper addresses a fundamental question in submarine seismic imaging using high-frequency body waves. This is often referred to as “reverberation,” waves that “echo” or “sing” again and again.

Grant News: Steve wins SSA Travel Grant

See details here: https://www.seismosoc.org/awards/travel-grant-types/

Drs. Olugboji (PI) & Baowei Liu (Comp. Scientist) win NSF ACCESS award

Drs. Olugboji (PI) & Baowei Liu (Comp. Scientist) win NSF ACCESS award to construct new maps of Africa’s subsurface using high-performance computing and machine learning. New constraints will help understand Africa’s lithospheric structure, seismicity, tectonics, and interior dynamics.

Congrats Siyu! First Undergrad Paper Published @SRL

Our latest research paper, titled “A Short-Period Surface-Wave Dispersion Dataset for Model Assessment of Africa’s Crust: ADAMA”, co-authored by Dr. Tolulope Olugboji and Siyu Xue, an undergraduate research assistant, has just been published in Seismological Research Letters. doi: 10.1785/0220210355

Dr. O gives virtual talk @ McGill

Dr. Tolulope Olugboji gave a virtual talk at McGill University on Oct 22, 2021, titled “The Structure of Oceanic Plates using Machine Learning on Seafloor Vibrations Event”. In this talk, Dr. O described a technique for silencing the singing of