For Deborah Pereg’s PhD in Electrical Engineering at Technion–Israel Institute of Technology, she explored three-dimensional seismic imaging and sparse inversion methods. Seismic imaging reveals subsurface earth layers and geological structures, and can facilitate exploration of mineral deposits and energy sources, or provide geological information in many areas, such as engineering, geothermal energy surveys, or tsunami risk assessment. Dr. Pereg developed simpler and more efficient ways to improve 3D imaging and resolution.
When there is a great deal of data, the system takes a long time to form the images. Dr. Pereg trained the imaging system using only a minimal percentage of the seismic data. The system was then able to apply what it learned to the rest of the data, forming the images in much less time.
In the joint research program of Health Science and Technology (HST) at Harvard Medical School and MIT, Dr. Pereg further explores fast learning, domain adaptation, and few-shot learning from a sparse representations point of view, but this time instead of geological data, her data is medical imaging data. Her projects include: analyzing high dimensional biomedical data, optical coherence tomography (OCT) image enhancement and analysis, and investigating the use of pattern analysis methods in medical imaging.
Dr. Pereg has worked in industry, where she was responsible for algorithm development and implementation.