Intelligent Power Management & Task Scheduling for Real-Time Embedded Systems | Reinforcement Learning meets DVFS for Maximum Efficiency
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Updated
Apr 19, 2026 - Python
Intelligent Power Management & Task Scheduling for Real-Time Embedded Systems | Reinforcement Learning meets DVFS for Maximum Efficiency
CA-SDWN-WiFi-QoS: AI-Driven Knowledge-Defined Wireless Networks (KDWN)
Multi-agent reinforcement learning for cooperative UAV networks with safety-aware optimization, THz channel modeling, QoS constraints, and energy-efficient resource allocation.
[ScalCom'22] TESCO: Multiple Simulations based AI-augmented Fog computing for QoS Optimization
🔬 6G Network Slicing with AI-Driven Dynamic Resource Management | Multi-Agent DRL (SAC) | Explainable AI (SHAP) | Energy-Aware Optimization | Dynamic Soft Slicing | MLOps Pipeline | FastAPI | SimPy | PyTorch
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