Research
AI assisted Wireless System Design and Optimization
AI assisted Wireless System Design and Optimization
- Novel design of deep-learning and convolutional neural network approaches for wireless system applications and services.
- Novel design of machine-learning and pattern recognition algorithms for wireless communication technologies.
- Applications of AI for optimizing wireless communication systems, including channel models, channel state estimation, beamforming, code book design and signal processing.
- Applications of AI for 5G and 6G wireless transmission technologies, including coordinated multiple points transmission/reception, large scale antenna array, and multi-hop relay.
- Applications of AI for 5G and 6G mobile management, including user association, handoff strategy, and backhaul technology.
- Applications of AI for 5G and 6G resource management, including spectrum resources, energy sources, cloud resources, computing resources, and communication infrastructure.
- The analysis and prediction of 5G and 6G network behaviour via AI technologies, including the multi-media traffic load, network overhead, and network collision.
- Evaluating the scope for and potential limitations of AI solutions in wireless communications.
AI based Cellular System Design
AI based Cellular System Design
AI based IoT System Design
AI based IoT System Design
Information Theory
Information Theory
- Network information theory: Investigation on the fundamental limits and practical code design for data transfer and compression in multi-user networks
- Cache aided networks: Investigation on the fundamental limits and network coding of cache aided content delivery networks
- Joint source–channel coding: Joint source–channel coding architecture design for efficient description of multiple sources over noisy networks with applications to sensor networks
- Computation over networks (compute–forward): Investigation on the fundamental limits and practical code design of distributed computation over interference and multihop networks
- Network optimization for drones and vehicles: Optimal network resource allocation and base station placement for drone and vehicle networks
- Machine learning based communication techniques: Creating new communication architec- tures and protocols bases on deep learning and reinforcement learning
AI-5G/6G System Implementation
AI-5G/6G System Implementation
- Enabling 5G PHY Research through Prototyping: Developing PoC (Proof-of-Concept) using open SDR (software-defined-radio) products, USRP
- AI in Communication Systems Physical Layers: Applying AI to end-to-end communication systems, massive MIMO with AI, spectrum sharing with AI
- Autoencoder based modems for next generation communication systems
Machine-Learning for Medical Imaging
Machine-Learning for Medical Imaging
- Segmentation of MRI brain scans for tumor detection
- Generative adversarial networks for data augmentation in MRI brain scans
Data augmentation for brain MRI
Data augmentation for brain MRI
Medical Image Segmentation for Tumor Detection
Medical Image Segmentation for Tumor Detection