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Dan Ruan is an Assistant Professor specializing in Radiation Oncology and is a member of the Biomedical Engineering and Biomedical Physics Interdepartmental Programs at UCLA. His research centers around medical imaging, particularly in the areas of tomography and parametric estimation. He focuses on dynamic systems and general inverse problems related to medical signal processing. With a strong emphasis on system modeling and characterization, Ruan works on the development of algorithms that enhance performance analysis and integration of software and hardware systems, ensuring rigorous validation processes. His academic pursuits are aimed at enhancing the understanding of mathematics and physics in the fields of diagnostic radiology and radiation oncology. Ruan's notable contributions include several published studies that have addressed prediction errors in medical imaging and techniques for real-time motion tracking in radiotherapy.
Department of Economics admits primarily for the PhD program.