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Syed Danial Ali Shah
Flinders University, University of Leeds, RMIT University, Adelaide University
Research areas: Computer Science · Computer Networks and Communications · Software-Defined Networks and 5G · IoT and Edge/Fog Computing · Vehicular Ad Hoc Networks (VANETs)
Employment
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Flinders University Lecturer in Cloud Computing2026 - Present
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Adelaide University Lecturer in Networking2025 - 2026
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University of Leeds Research Fellow2024 - Present
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UNSW Sydney Postdoctoral Research Associate2022 - 2024
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RMIT University Teaching and Research Sessional (Casual Associate Lecturer)2020 - 2022
Education
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RMIT University PhD (Computer Science & Engineering)2019 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- Collaborative Intelligence Save
- Semantic-Aware 6G Networking Save
- Lightweight Differential Privacy for Federated Learning on Consumer AIoT Devices Save
- Agentified 6G Edge Intelligence: Exploring Embodied AI in Open RAN and Future Research Directions Save
- Channel-Aware Federated Unlearning With Gradient Perturbation in Open Radio Access Networks Save
- Consumer Data Privacy-Aware Federated Orchestration for Communication, Computing, and Control in 6G Consumer Services Save
- Enabling Multi-Operator AI-RAN Coexistence Through Federated Edge Orchestration Save
- EcoFL Save
- Dynamic AI-Driven Network Slicing With O-RAN for Continuous Connectivity in Connected Vehicles and Onboard Consumer Electronics Save
- EcoFL: Resource Allocation for Energy-Efficient Federated Learning in Multi-RAT ORAN Networks Save
- From connectivity to autonomy: the dawn of self-evolving communication systems Save
- Modelling 6Dof Vr Gaming Traffic for Next-Generation Networks Save
- Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Save
- The Interplay of AI-and-RAN: Dynamic Resource Allocation for Converged 6G Platform Save
- The Interplay of AI-and-RAN: Dynamic Resource Allocation for Converged 6G Platform Save
- A Fully Open-Source End-to-End Private 5G Network over Unlicensed Frequency Bands Save
- Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks Save
- Toward Network-Slicing-Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility Save
- Towards trust-based routing for data plane security in heterogeneous Software-Defined Wireless Networks Save
- Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility Save