Tolulope Olugboji

Tolulope Olugboji is an Assistant Professor of Earth Science at the University of Rochester, with joint appointments in Electrical and Computer Engineering and affiliation with the Georgen Institute of Data Science. He leads the Earth Imaging Lab, focusing on planetary structure and dynamics using seismic data and computational methods. His research integrates ground vibrations, high-performance computing, AI algorithms, and signal processing to study lithosphere architecture and seismic signals.

Education:

• PhD in Geology and Geophysics (2014), Yale University
• M.Phil. (2011), Yale University
• B.Sc. in Computer Science (2008), Obafemi Awolowo University

Research Interests: Earth imaging with intelligent algorithms, lithosphere structure, seismic signal processing, mathematical geophysics, marine geophysics, and machine learning applications in computational imaging. His work emphasizes probabilistic inversion, CRISP-RF denoising filters, and global mantle stratification studies.

Publications: Recent work includes ADAMA (Africa’s crustal architecture), CRISP-RF discontinuity detection, and oceanic lithosphere imaging. His articles span seismic tomography, mantle dynamics, and algorithm development for noisy data.

Awards:

• NSF CAREER Award (2024)
• CIG Distinguished Lecturer (2021-2022)
• Carnegie Visiting Fellowship (2022)

Grants:

• NSF Geophysics+MG&G ($701k, 2024-2029)
• Georgen Institute Seed Funding ($20k, 2023)
• XSEDE HPC Resources ($3.5M SU allocation)

Teaching: Courses include Nature’s Fury, Earth Data Analysis, Seismology, and Signal Processing. He emphasizes computational methods and geophysical pedagogy.

Labs/Teams: The Earth Imaging Lab develops algorithms like CRISP-RF and SHARP-SS for seismic imaging. Collaborations include Carnegie, MIT, and global institutions.