Dr. Felix Herrmann

Biography

Felix J. Herrmann graduated from Delft University of Technology in 1992 and received his Ph.D. in engineering physics in 1997. He has held research positions at Stanford University and the Massachusetts Institute of Technology, returning in 2002 as faculty at the University of British Columbia. In 2017, he joined the Georgia Institute of Technology, where he is a Georgia Research Alliance Scholar Chair in Energy, cross-appointed in the Schools of Earth and Atmospheric Sciences, Computational Science and Engineering, and Electrical and Computer Engineering. His cross-disciplinary research program spans computational imaging, seismic imaging, medical imaging, and related fields. Herrmann is widely recognized for addressing challenging problems in imaging sciences by adapting techniques from randomized linear algebra, PDE-constrained convex optimization, high-performance computing, machine learning, and uncertainty quantification. Throughout his career, he has been responsible for cost-saving innovations in industrial time-lapse seismic data acquisition and wave-equation-based imaging. In 2019, he presented the SEG Distinguished Lecture titled 'Sometimes It Pays to Be Cheap – Compressive Time-Lapse Seismic Data Acquisition.' In 2020, he received the SEG Reginald Fessenden Award for his contributions to seismic data acquisition and compressive sensing. At Georgia Tech, he leads the Seismic Laboratory for Imaging and Modeling and co-founded and directs the Center for Machine Learning for Seismic (ML4Seismic), designed to foster industrial research partnerships and drive innovations in artificial-intelligence-assisted seismic imaging, interpretation, analysis, and time-lapse monitoring.

Research Interests