Mr. Zhaoli Su | Computational Materials Science | Best Researcher Award
Mr. Zhaoli Su is a Ph.D. candidate at the Beijing Institute of Technology, specializing in Optoelectronic Information Engineering with a focused application in medical multimodal artificial intelligence. His research bridges deep learning, radiology, and clinical decision support systems to develop intelligent diagnostic tools. With active involvement in medical image-text fusion and language model applications, Mr. Su’s academic pathway reflects innovation in healthcare AI. His early career shows promise in aligning technological advancement with medical utility.
Mr. Zhaoli Su | Beijing Institute of Technology | China
Profile
Education
Mr. Su is currently pursuing a Ph.D. in Optoelectronic Information Engineering. His academic training covers medical imaging, machine learning, and natural language processing, forming a robust foundation for intelligent healthcare systems development. Throughout his doctoral program, he has engaged in cutting-edge research that integrates clinical data with AI algorithms to solve diagnostic challenges in radiology.
Experience
His research experience includes developing advanced diagnostic systems by integrating medical image processing and large language models. He has contributed to projects involving radiology report generation and modeling disease progression using longitudinal imaging data. Through interdisciplinary collaboration, he applies deep learning techniques to improve the accuracy and efficiency of clinical decision-making. His work reflects a strong commitment to advancing intelligent healthcare technologies through AI innovation and applied research in medical informatics.
Contributions
Mr. Zhaoli Su’s research focuses on the advancement of intelligent systems for medical imaging analysis, with particular emphasis on multimodal data fusion, disease diagnosis, and radiology report generation. Utilizing large-scale clinical datasets and cutting-edge artificial intelligence models, he has developed automated tools that improve diagnostic precision and clinical workflow efficiency. His work is characterized by a strong interdisciplinary approach that combines optoelectronic engineering and healthcare technology. By addressing real-world clinical challenges through innovative AI applications, his contributions pave the way for more accurate, accessible, and scalable diagnostic support systems in modern medicine.
Research Focus
Mr. Su’s primary research areas include Medical Multimodal AI, Radiology Report Generation, and Clinical Decision Support Systems. He works on integrating textual and imaging data using deep learning to improve interpretability and accuracy in clinical diagnostics. His emphasis on modeling disease progression and developing tools for real-time clinical use makes his work valuable in advancing AI-powered healthcare solutions.
Publications
MedKit: Multi-level Feature Distillation with Knowledge Injection for Radiology Report Generation
Authors: Zhaoli Su, Hong Song, Yucong Lin, You Wu, Xutao Weng, Zhongxuan Mao, Bowen Liu, Hongxia Yin, Jian Yang
Journal: Expert Systems with Applications
PRTA: Joint Extraction of Medical Nested Entities and Overlapping Relation via Parameter Sharing Progressive Recognition and Targeted Assignment Decoding Scheme
Authors: Bowen Liu, Hong Song, Yucong Lin, Xutao Weng, Zhaoli Su, Xinyan Zhao, Jian Yang
Journal: Computers in Biology and Medicine
Conclusion
Mr. Zhaoli Su demonstrates strong research potential in the intersection of artificial intelligence and medical imaging. His early contributions to radiology report generation and clinical AI systems are promising and well-aligned with healthcare innovation. He is a fitting candidate for emerging research recognition, particularly the Best Research Scholar Award, and with continued scholarly growth, will be well-positioned for future recognition as a leading researcher in the field.