Zhang Bofeng | Data Mining | Best Researcher Award

Prof. Dr. Zhang Bofeng, Shanghai Polytechnic University, China .

Professor Zhang Bofeng is a renowned expert in intelligent systems, data mining, and cognitive computing . With a focus on innovative solutions for challenges such as earthquake prediction, human-machine interaction, and web services optimization, his work bridges theoretical research and real-world applications . Zhang has led numerous high-impact projects, including those funded by the National Natural Science Foundation of China and the Shanghai Municipal Science and Technology Commission . His contributions to fields like AI, BCI, and cloud computing have advanced scientific knowledge and improved technological capabilities, making him a leader in his field .

Publication Profile

Scopus

Education and Experience

Ph.D.: Shanghai Jiao Tong University – Specializing in intelligent systems
Postdoctoral Fellowship: Intelligent CAD Systems, funded by China Postdoctoral Science Foundation
Professor: Shanghai University – Leading innovative projects in AI and cognitive computing
Research Leadership: Directed high-impact national and international projects in data mining, BCI, and web services

Suitability For The Award

Prof.Dr. Zhang Bofeng, a renowned professor with a Ph.D. and a prolific research career, exemplifies excellence in advancing science and technology. His extensive contributions span intelligent systems, data mining, human-machine interaction, and cloud computing, showcasing his multidisciplinary expertise. With over 18 major research projects supported by prestigious grants, Zhang has delivered groundbreaking innovations in decision-support systems, service optimization, and adaptive technologies. His work not only addresses complex theoretical challenges but also offers practical solutions with significant societal impact. These achievements make Zhang Bofeng a highly suitable candidate for the Best Researcher Award, recognizing his unparalleled dedication to research and innovation.

Professional Development

Professor Zhang Bofeng’s career reflects a relentless pursuit of innovation and knowledge-sharing . His projects span intelligent CAD systems, earthquake prediction models, and cutting-edge web services optimization . Zhang’s expertise in combining AI theories with real-world applications has fueled advancements in cloud computing, BCI systems, and mobile e-commerce recommendations . Through collaboration with prestigious organizations like the National Natural Science Foundation of China and the Shanghai Municipal Science and Technology Commission, he consistently pushes technological boundaries . His contributions have significantly shaped fields like cognitive computing and intelligent perception systems .

Research Focus

Professor Zhang Bofeng’s research centers on intelligent systems and their applications . He specializes in data mining and knowledge discovery, cognitive computing for human-machine interaction, and advanced web services composition . His work also addresses practical challenges in education platforms, mobile e-commerce, and earthquake prediction through innovative computational models . By integrating AI, BCI, and cloud computing methodologies, Zhang focuses on creating adaptive, user-centered technologies that improve quality of life and advance scientific understanding .

Awards and Honors

China Postdoctoral Science Foundation Award (1999)
Shanghai Municipal Education Commission Youth Science Award (2003)
National Natural Science Foundation Major Research Grant (2006)
Shanghai Pujiang Program Recognition (2009)
Innovation Program of Shanghai Municipal Education Commission Award (2012)
Specialized Research Fund for the Doctoral Program of Higher Education (2024 )

Publication Top Notes

Selecting reliable instances based on evidence theory for transfer learning – 5 citations, 2024
Dynamic bipartite network model based on structure and preference features – 2024
FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction – 2024
Deep latent representation enhancement method for social recommendation – 2 citations, 2024
Predictive Modeling and Feature Analysis for Clinical Prognosis in Hemorrhagic Stroke Patients Using Machine Learning – 0 citations, 2024
TEDC: Temporal-aware Edge Data Caching with Specified Latency Preference – 2024
User Profiling for Personalized Service Recommendation with Dual High-order Feature Learning – 2024
Named entity recognition method of blockchain patent text based on deep learning – 1 citation, 2024