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Advanced Wireless System Design:
Design and evaluate 6G systems featuring MIMO, XL-MIMO, cell-free massive MIMO, near-field and holographic MIMO, URLLC, mMTC, MEC, SWIPT, UAV-assisted networking, and ISAC—emphasizing scalability, energy efficiency, and low-latency, in line with ITU IMT-2030 goals and use cases like XR, IoT, and semantic communication.
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Reconfigurable and Holographic Surface Optimization:
Design and optimize next-generation metasurfaces—including intelligent reflecting surfaces (IRS 2.0) and reconfigurable holographic surfaces (RHS)—for dynamic beam control, spectrum reuse, and joint communication-sensing tasks in complex, non-stationary propagation environments.
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Physical Layer Channel Modeling and System Simulation:
Simulate large-scale, spatially and temporally consistent environments using QuaDRiGa (in MATLAB), and Sionna (with TensorFlow in Python). Develop and apply advanced channel models capturing high frequency mm-Wave and THz propagations, non-stationarity, and high-mobility scenarios to support realistic evaluation of 6G-enabling technologies.
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Signal Processing & AI/ML Integration:
Develop learning-based algorithms for adaptive beamforming, CSI compression, channel estimation, and predictive feedback, leveraging neural networks, attention mechanisms, and self-supervised learning to meet real-time and resource-constrained physical-layer requirements in dynamic 6G environments.