معرفی
Jianping Gao is a Professor in applied mathematical modeling and control systems, with significant contributions to vehicular networks, privacy protection algorithms, and nonlinear dynamical systems. His work spans interdisciplinary domains including intelligent transportation, federated learning, and biomechanical engineering.
- Core Research Areas:
- Mathematical modeling of chemotaxis and ecological systems
- Secure computation offloading in vehicle edge networks
- Federated learning optimization for Internet of Vehicles
- Privacy-preserving algorithms in social networked transportation
- Recent Trends:
- 2025 publications focus on dynamic gradient compression strategies and 3D radar sensing for autonomous vehicles
- 2024 work emphasizes blockchain-based privacy methods and Gaussian process vehicle state estimation
- 2023 studies include comprehensive surveys on social IoV security and contraflow control optimization
The most frequent co-authors include Ling Xing (13 collaborations), Honghai Wu (12), Huahong Ma (8), and Kaikai Deng (4), indicating sustained interdisciplinary team efforts.
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