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Xiangyang Tang

Xiangyang Tang brings a wealth of experience in the field of biomedical engineering, particularly in the realm of CT physics and technology. As an Associate Professor and Director of the Laboratory of Translational Research in CT at the Georgia Institute of Technology, he has been an integral part of the Bioengineering faculty for nearly two years. His research is deeply rooted in advancing image reconstruction algorithms, cardiac imaging, and 4D CT applications for radiation therapy treatment planning. Tang is particularly passionate about developing innovative solutions for CT x-ray dose reduction, aiming to enhance patient safety without compromising diagnostic quality. In addition to his primary research interests, Tang's expertise encompasses architecture design and imaging chain performance analysis, as well as system integration for volumetric CT. His contributions to the field are recognized through his receipt of the prestigious GE Curie Award, underscoring his commitment to excellence and innovation in biomedical engineering. Tang's prolific career is marked by an impressive portfolio of 22 patents, reflecting his ability to translate complex scientific concepts into practical applications. His scholarly output includes over 67 publications and presentations, which have significantly impacted the field and contributed to the advancement of CT technology. His work not only pushes the boundaries of current imaging technologies but also sets the stage for future innovations in medical imaging and radiation therapy. Through his leadership at the Laboratory of Translational Research in CT, Tang continues to mentor the next generation of engineers and researchers, fostering an environment of creativity and collaboration. Tang's dedication to his field and his ongoing research endeavors make him a valuable asset to the Georgia Institute of Technology and the broader biomedical engineering community. His contributions are paving the way for safer, more effective imaging solutions that have the potential to transform patient care.

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