Sen Named Global Lecturer for AI-Driven Seismic Imaging Course
December 8, 2024
Mrinal Sen, a professor and a pioneer in machine learning for seismic imaging, has been selected by the Society of Exploration Geophysicists (SEG) as the speaker for its 2024 Distinguished Lecture Short Course.
Sen will set off on a global tour to present his research to the SEG’s worldwide members and non-members. Sen was announced as the 2024 instructor at SEG’s International Meeting for Applied Geoscience & Energy (IMAGE) conference in Houston in August, where he presented the first course. In preparation for the tour, Sen has written a short book about machine learning in seismic imaging that participants will receive as part of the course.
“I was both happy and honored that they asked me to present the course,” Sen said. “It’s obviously a lot of work, but it’s very close with my current research, so I think I can offer something that companies, researchers and students will find valuable.”
Sen is a professor in the Department of Earth and Planetary Sciences and conducts research at the University of Texas Institute for Geophysics.
In the 1990s Sen was among the first to use an early form of artificial intelligence called neural networking to fill gaps in patchy seismic data. Since then, his research group has developed numerous methods combining mathematics with the latest computational technology. These accomplishments have led to academic and industry accolades for Sen, his research colleagues and students. This includes Sen earning SEG’s prestigious Virgil Kauffman Gold Medal in 2018.
In addition to speaking to global audiences, Sen has played a key role in advancing machine learning for seismic imaging at the Jackson School. This year, the school launched a new certificate program in machine learning and data analytics for geosciences, developed and taught by Sen.
Sen’s short course, “Physics and Data Driven Seismic Data Analysis: A Narrative of Two Approaches,” is open to members and non-members of SEG. Learn more or register at