Anhui Jianzhu University, China
Author Profile
Scopus
🌱 Early Academic Pursuits
Chen Yonglin’s academic journey began with a Bachelor of Engineering in Mechanical Design, Manufacturing, and Automation from Shenyang Ligong University (2011–2015). His foundational studies in mechanical engineering equipped him with a robust understanding of design principles and industrial automation. He further pursued a Master’s degree in Mechanical Engineering from Inner Mongolia University of Technology (2015–2018), where he was recognized as an Outstanding Student Cadre, highlighting his leadership potential.
🌐 Professional Endeavors
Chen Yonglin embarked on his professional journey as a Junior Researcher at the Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (2018–2020). During this period, he contributed to combustion performance detection projects in collaboration with China Tobacco, where he developed algorithms for image segmentation and key target detection in complex environments. His expertise in computer vision and algorithm design laid the foundation for his transition to a research-focused career.
In 2023, Chen Yonglin joined Anhui University as a Teaching and Research Faculty in the School of Electronics and Information Engineering. Here, he engages in teaching Python and artificial intelligence while conducting cutting-edge research in these fields.
🔬 Contributions and Research Focus
Chen’s research is primarily centered on artificial intelligence, medical imaging, and disease prediction. His notable contributions include a contrastive learning framework for Alzheimer’s disease classification using brain 18F-FDG PET (published in IEEE Journal of Biomedical and Health Informatics, JCR Q1, IF:7.7) and a multi-feature fusion model for Alzheimer’s prediction using EEG signals (Frontiers in Neuroscience, JCR Q2, IF:4.3). His ongoing work on multi-feature fusion learning for Alzheimer’s prediction using PET images is under review at IEEE Transactions on Medical Imaging (JCR Q1, IF:10.6).
🏆 Accolades and Recognition
Chen’s excellence has been recognized through several prestigious awards, including:
- 🥈 1st Runner-up in the Huawei Cloud PRCV Alzheimer’s Disease Classification Challenge (2021, National Level).
- 🥉 2nd and 3rd Prizes in the China Graduate Electronics Design Competition (North China Division, 2017 and 2018).
- 🎖️ Award from iFLYTEK Co., Ltd. (2024).
🌟 Impact and Influence
Beyond his research, Chen has served as a reviewer for high-impact journals such as Computers in Biology and Medicine, Physics in Medicine and Biology, and Scientific Reports. His role as an organizer and judge for the Disease Prediction Challenge (2020–Present) demonstrates his commitment to advancing medical AI research. The challenge, in partnership with iFLYTEK, has drawn over 2,000 teams (10,000+ participants) from institutions such as USTC, UESTC, and JDAI.
🚀 Legacy and Future Contributions
As Chen Yonglin continues his academic and research journey, his work in artificial intelligence and medical imaging is expected to make significant contributions to early disease detection and diagnosis. With his proven expertise and leadership in medical AI, he is poised to further influence the field, driving innovations that can enhance healthcare outcomes globally.”)}
An annotated heterogeneous ultrasound database
Authors: Yuezhe Yang, Yonglin Chen, Xingbo Dong, Zhe Jin, Yong Dai
Journal: Scientific Data
Year: 2025