Dr. Olugboji leads the Earth imaging lab at the UofR. In addition to teaching and research, he promotes earth science education through public outreach lectures and invited talks: 
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Steve Carr holds a Master's degree from Bowling Green University. He studied crustal stress changes along border faults caused by hydrological loading. He is now working on the seismic imaging of global mantle discontinuities.
Joel received his BSc in Geophysics from the University of Oklahoma, with research experience in seismic anisotropy and surface wave inversion. Joel is interested in geophysical modeling & subsurface imaging.
Sayan is our first ECE/EES student. He holds an MS degree in Data Science from UR. He is leveraging ideas in compressed sensing and deep learning to tackle problems in ambient noise monitoring and imaging.
Molly received her Master’s degree from the University of Delaware, working with ambient seismic noise to evaluate impact of precipitation on seismic velocities. She is interested in using and developing techniques to monitor the near-surface environment.
Tejwaswini is a first year masters student in Computer. She holds a Bachelor’s degree in Computer Science. She will be supporting the research project called Wavenet - developing a seismic benchmark for training and testing AI models that extract signals from seismic data.
Chris is a undergraduate majoring in Data Science with interests in Artificial Intelligence, Geoscience and Robotics. He has a mission to gain as much research experience in seismology in order to better understand the Earth.
Tianhao Zhang is a senior majoring in Physics and Astronomy, with minors in Mathematics and Computer Science. He aims to gain research experience in seismology with the goal of connecting these techniques to planetary astrophysics.
Baowei is a senior scientific programmer at Rochester (since 2012). He manages our computational infrastructure and supports the computing needs of the group's members. Baowei has experience in Physics and Simulations, High-Performance Computing, Data Analysis, and Visualization.
Canberk is a Ph.D. candidate in the Signal, Data, and Imaging Sciences (SDIS) Lab with the Department of Electrical and Computer Engineering at the University of Rochester. He is working on improving earth imaging with machine learning.