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Prof. Xiaoyan Huang | The physics of radiation therapy | Best Researcher Award 

Deputy Director of Department of Radiotherapy, Sun Yat-sen University Cancer Center, China

A distinguished expert in Clinical Radiotherapy Physics, specializing in dosimetry, radiotherapy planning, AI-driven adaptive therapy, and ion beam therapy. With a mission to advance standardized precision radiotherapy, they have authored nearly 100 peer-reviewed papers (30+ as first/corresponding author), significantly contributing to radiation oncology research and technology development.

Profile

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Education 🎓

Holds a Ph.D. in Medical Physics, with specialized training in clinical radiotherapy physics, AI-driven adaptive radiotherapy, and ion beam therapy. Completed postdoctoral research in advanced dosimetry and radiotherapy technologies, enhancing expertise in precision cancer treatment and radiation safety.

Experience 🏥

Brings extensive experience in clinical practice, research, and education, contributing to radiotherapy planning, quality assurance/control (QA/QC), and novel radiotherapy techniques. Has led multi-disciplinary teams in developing next-generation AI-based radiotherapy solutions and standardized QA systems.

Awards & Honors 🏆

Recipient of prestigious awards in radiation oncology, dosimetry, and AI-driven radiotherapy innovations, recognizing contributions to precision medicine and cancer treatment advancements. Honored by medical physics associations and oncology societies for groundbreaking research and clinical excellence.

Research Focus 🔬

Dedicated to Clinical Radiotherapy Physics, with expertise in dosimetry, radiotherapy QA/QC, AI-powered adaptive therapy, ion beam therapy, and novel radiotherapy technologies. Aims to revolutionize precision radiotherapy and enhance cancer treatment efficacy through advanced technology integration.

Publications

MRI guided online adaptive radiotherapy and the dosimetric impact of inter- and intrafractional motion in patients with cervical cancer

Risk assessment and quality management in AIO based on CT‐linac for nasopharyngeal carcinoma: An improved FMEA and FTA approach

 

Conclusion

Xiaoyan Huang is a highly suitable candidate for the Best Researcher Award based on a prolific publication record, groundbreaking work in clinical radiotherapy physics, and advancements in AI-driven adaptive radiotherapy. Expanding global collaborations and industry impact could further strengthen an already outstanding profile. 🚀

Xiaoyan Huang | The physics of radiation therapy | Best Researcher Award

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