معرفی
Dr. Daniel Trad is Associate Professor and Canadian Society of Exploration Geophysicists Chair in Exploration Geophysics at the University of Calgary. His research develops computational methods for seismic data analysis, with applications in energy exploration and environmental monitoring.
Core innovations include machine learning-enhanced full-waveform inversion techniques and high-dimensional seismic data reconstruction algorithms. His lab focuses on solving inverse problems in geophysics through integrated mathematical modeling and high-performance computing.
Teaching includes advanced courses in Geophysical Signal Processing and Imaging/Inversion. Research outputs contribute to improved subsurface characterization for resource exploration and carbon sequestration projects.
