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On the Study of Planetary Vibrations: Earth Imaging with Signals and Intelligent Algorithms

Tolulope Olugboji, Assistant Professor, Earth and Environmental Science, University of Rochester

1400 Wegmans Hall

I use our planet’s vibrations to understand its internal anatomy and trace its dynamic history. I share highlights of this exciting and intriguing science with a focus on my group’s recent contributions in earth imaging using novel signals and algorithms. A recently completed study of the entire African continent uses machine learning on noise maps to refine insights into crustal architecture and taxonomy. A (re) view of rock layering beneath the oldest continental rocks in North America show intriguing results that challenge our understanding of continental stability and longevity. Finally, I describe a grand vision to explore unanswered questions in plate tectonics that involve earth imaging in an ocean-word. Here, the goal is the design of intelligent algorithms that allow signal detection in noisy and data-poor environments.

Short Bio

Dr. Tolulope Olugboji is an Assistant Professor at the University of Rochester (UR). He is a NEF fellow - a select program that recognizes Africa’s best young scientists and technologists. At UR, he leads the Earth Imaging Lab. His group uses ground vibrations from seismic sensors across the globe coupled with high- performance computation, artificially intelligent algorithms, and signal processing to address problems of planetary structure and dynamics. He teaches courses in Nature’s Fury, Data Analysis, Earth imaging, and Signal Processing (@URSeismoCourses).

His research on ocean imaging with machine learning has won an NSF Career Award. (Tolu Olugboji: TOE-LOO OH-LOO-BOW-JI)

www.ees.rochester.edu/urseismo
https://twitter.com/UofRSeismo

 Refreshments will be provided.