Understanding how our planet works means learning to see what is unseen and hear what is unheard. The Olugboji Planetary Imaging and Earth Hazards Lab images Earth's interior and listens to its earthquakes and volcanoes, turning sparse, noisy seismic and acoustic recordings into sharp maps and catalogs of Earth's hazards and interiors.

One methods program, four research streams

Each stage answers a harder version of the same problem: recovering reliable structure from the sparsest, noisiest recordings. Together the stages feed four research streams.

Stage 1
Advanced Signal Denoising

Separates true signals from reverberations, multiples and noise in receiver functions and mantle precursors.

Stage 2
AI-Powered Seismic Refinery

Physics-informed AI that turns raw vibration into high-fidelity structural information.

Stage 3
Interpretable AI

Physically meaningful features that sort planetary signals even when labels are scarce.

Research streams

Actively funded research

The R/V Marcus G. Langseth at sea during the 2010 Shatsky Rise expedition in the North Pacific
NSF CAREERRecruiting

Imaging the oceanic plate

Uses seismology and machine learning to image the Pacific, the largest ocean basin, from existing seismic data on a sparsely instrumented, noisy seafloor. AI-cleaned signals feed uncertainty-aware 3-D images that test how ocean plates form and evolve, and what sets the boundary between the stiff lithosphere and the weak asthenosphere.

Animation: seismic ray paths that sample Africa at 590 km depth accumulate year by year
NSF collaborative awardRecruiting

Africa's crust and mantle in motion

Unusually hot mantle lies beneath Africa and the East African Rift, the most active continental rift on Earth. With Virginia Tech and Colgate, this project builds open, high-resolution models of Africa's crust and mantle from AfricaArray seismic and GNSS data, and tests how strongly the plate is coupled to the convecting mantle below.

New research themes

The next five years extend the same methods to global scales and new worlds.

A global, explainable model of Earth's platesA physics-guided, explainable AI model of the continental lithosphere, probabilistic at every point and consistent from regional to global scales, built with colleagues in Electrical and Computer Engineering.
An atlas of terrestrial and ocean soundscapesInterpretable AI that runs where decades of acoustic and ocean-bottom recordings live, building a searchable atlas for detecting submarine eruptions and telling geological sound from other noise.
A global map of mantle stratificationTaking CRISP-RF and SHARP-SS beyond North America and the Central Pacific toward an uncertainty-aware map of layering in Earth's mantle.
From Mars to the MoonMethods proven on the sparse InSight record from Mars, ready for the next sparse seismic datasets from the Moon.
Explore the publications

Every paper, grouped by research stream and method, with citation counts, open-access PDFs, code and data.

Also: Projects · Software · Open Data · Join us

Drawn from the lab’s research statement and research plan. Updated November 2026.

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