Earth Imaging: Signals & Algorithms

Huge congratulations to former lab member Siyu Xue (now PhD at Cornell) on her new paper! AkiNet: A Physics-Informed AI for Wave Extraction from Noise is now published in JGR: Machine Learning and Computation. This work advances seismic imaging by

Our 2nd PhD, Dr. Carr, successfully defended his four-paper dissertation: “Seismic Constraints on the Origins of Continental Mantle Stratification.” A phenomenal 4.5-year journey culminates in this achievement. We are immensely proud and excited for his future!

Dr. Olugboji presented research on planetary imaging and continental evolution at historic campuses (Oxford, Cambridge), GFZ, and Gordon Conferences (Cambridge). Check out the recordings, including the Rifts Seminar lecture, here: [Link: https://www.sas.rochester.edu/ees/urseismo/presentation/].

The Olugboji Imaging Lab is co-convening the AfricaArray Workshop (Jan 12-15, 2026, SAfrica). Theme: “Bridging Tectonics and Societal Needs” to explore geoscience’s role in Africa’s green economy transition. Funded by NSF & U. of Witwatersrand. [Link: https://sites.google.com/vt.edu/africaarraymeeting2026/agenda?authuser=0]

Fresh off his travels presenting at the CIG and Gordon research conferences, our PhD student Jean-Joel Legre has just published his latest paper. In this new work, Jean-Joel tackles a fundamental question: what creates the distinct layers, or “discontinuities,” deep

At the recent EarthScope conference, our very own grad student Swar took the stage to share an exciting advance in seismic signal processing: a fast, sharp algorithm that teases out Love waves buried deep in seismic noise. His method uses

Our student Steve Carr has just published his second paper, and it’s a deep one—literally. Using a novel seismic denoising method called CRISP-RF (Clean Receiver function Imaging with Sparse Radon Filters), Steve reveals new insights into Earth’s interior. His work

Scientists use seismic waves, generated by earthquakes, to peer deep into the Earth’s mantle—the vast layer beneath the crust. One powerful tool for this is the analysis of SS waves, which reflect off structures within the mantle. However, these reflections

Here is a link to journal: https://link.springer.com/journal/10712/editorial-board