معرفی
Jia Hu is an Associate Professor in Computer Science at the University of Exeter. He holds a PhD in Computer Science from the University of Bradford (2010), and M.Eng/B.Eng degrees in Electronic Engineering from Huazhong University of Science and Technology. His research specializes in edge-cloud computing, federated learning, and AI-driven optimization for networks and IoT systems.
Research Interests: Hu's work spans resource optimization, applied machine learning (particularly in distributed settings), network security, blockchain integration, and intelligent systems for electric vehicles and Industry 4.0. His recent projects focus on federated edge AI, 6G-enabled industrial IoT, and real-time federated learning via hardware-algorithm co-design.
Publications: His 150+ papers emphasize federated learning, edge computing, and reinforcement learning applications. Recent works (2020–2025) show a strong trend toward optimizing AI at the network edge, with themes like digital twins, blockchain security, and EV-integrated systems dominating.
Awards & Recognition:
- Best Paper Awards: IEEE SOSE'16, IUCC'14
- Outstanding Service & Leadership Awards for IEEE conferences
- Top 4% contributor to EPSRC Peer Review
- Fellow of the Higher Education Academy (HEA)
Grants & Projects: Secured €4.7M+ funding from EU Horizon, EPSRC, and Royal Society for projects including:
- SAILING (Secure AI for Smart Internet-of-Energy, €3.6M)
- REFINE (Real-time Air Quality Monitoring with UAVs, €897K)
- SustainAIRA6G (Energy-Efficient AI for 6G Networks, £118K)
Advising: Supervised 12 PhD students to completion; currently mentoring 7 students in federated learning, edge computing, and AIoT.
