Assoc Prof Dr. Wenlong Hang, Nanjing Tech University, China
Wenlong Hang holds a Doctor of Engineering degree from Jiangnan University, where he graduated in June 2017, specializing in Light Industry Information Technology. During his doctoral studies, he visited both Hong Kong Polytechnic University and the Shenzhen Institutes of Advanced Technology. Since September 2017, Dr. Hang has been a faculty member at the School of Computer Science and Technology at Nanjing Tech University. His research interests primarily focus on artificial intelligence and machine learning, with a particular emphasis on medical image analysis and EEG signal processing. He has published more than 30 papers in reputable journals and conferences, contributing significantly to semi-supervised learning, federated learning, and EEG classification techniques. His representative works include research on medical image segmentation, reliability-aware semi-supervised frameworks, and domain-generalized EEG classification.
Professional Profile:
Summary of Suitability for Best Researcher Award :
Wenlong Hang is highly suitable for the Best Researcher Award based on his extensive research and contributions in the fields of artificial intelligence, machine learning, and medical image processing. His academic background, with a Doctor of Engineering degree from Jiangnan University, and professional experiences at institutions like Hong Kong Polytechnic University and Shenzhen Institutes of Advanced Technology, demonstrates his deep involvement in advanced technological research.
Education:
- Doctor of Engineering (Graduated in June 2017)
- Major: Light Industry Information Technology
- Institution: Jiangnan University
- Doctoral Visits: Hong Kong Polytechnic University, Shenzhen Institutes of Advanced Technology
Work Experience:
- Since September 2017: Faculty Member
- Position: Professor at the School of Computer Science and Technology
- Institution: Nanjing Tech University
Research Areas:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Medical Image Segmentation
- EEG Classification
Publication top Notes:
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