معرفی
Hao Tian is a professor at Georgia State University's Department of Computer Science, with affiliations at institutions including Hubei University of Economics, University of Alberta, and Shanghai Key Laboratory of Trustworthy Computing. His research spans interdisciplinary domains at the intersection of computer science, applied mathematics, and engineering.
Key research areas include:
- Machine learning architectures for image and signal processing
- Graph-theoretical methods for pattern recognition
- Federated learning and edge computing frameworks
- Fuzzy systems for industrial process control
- Numerical methods in computational mechanics
Recent publications demonstrate trends in:
- Higher-order network representation and learning
- Physics-informed neural networks for financial modeling
- Peridynamic models for crack propagation analysis
- Transformer-based approaches in point cloud processing
His work has been applied to municipal solid waste incineration, biomedical imaging, and smart city infrastructure, reflecting a strong engineering focus.
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