Prof. Dr. Wei Fang, Nanjing University of Information Science & Technology, China
Prof. Dr. Wei Fang is a Professor in the Department of Computer Science at Nanjing University of Information Science & Technology, China, and a member of the State Key Laboratory for Novel Software Technology, Nanjing University. He holds a Ph.D. and M.Sc. in Computer Science from Soochow University. Wei was a visiting scholar at the University of Florida in 2015-2016. His research interests include Artificial Intelligence, Big Data, Data Mining, and Meteorological Information Processing. He has led several research projects funded by the National Natural Science Foundation of China and is an active reviewer for international journals. Wei is a senior member of the CCF and ACM.
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Summary of Suitability for Best Researcher Award – Prof. Wei Fang
Prof. Wei Fang of Nanjing University of Information Science & Technology stands out as a highly meritorious candidate for the Best Researcher Award. With a solid academic foundation, national and international research exposure, and extensive contributions in Artificial Intelligence, Big Data, Computer Vision, and Applied Meteorology, his work bridges theoretical innovation with real-world application.
🎓 Education
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Ph.D. in Computer Science – Soochow University, China
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M.Sc. in Computer Science – Soochow University, China
📚 Visiting Scholar – University of Florida, USA (Faculty of Computer Science, Sept 2015 – Sept 2016)
💼 Work Experience
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👨🏫 Professor, Department of Computer Science, NUIST
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🧪 Affiliated with the State Key Lab for Novel Software Technology, Nanjing University
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🤝 Program Committee Member for multiple international conferences
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📝 Reviewer for various international journals
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🌍 International Research Scientist
🏆 Achievements & Honors
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🧠 Recognized for impactful research in:
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🔬 Project Leader of national and industrial research projects funded by:
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National Natural Science Foundation of China
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Guodian Nari Nanjing Control System Co., Ltd.
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Baoshan Iron and Steel Co., Ltd.
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🎖️ Senior Member of CCF (China Computer Federation) & ACM
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📈 Cited in SCI-indexed journals
Publication Top Notes:
A rapid learning algorithm for vehicle classification
CITED: 562
A Method for Improving CNN-Based Image Recognition Using DCGAN.
CITED: 230
Efficient feature selection and classification for vehicle detection
CITED: 220
A survey of big data security and privacy preserving
CITED: 117
Survey on research of RNN-based spatio-temporal sequence prediction algorithms
CITED: 100