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Research Themes
Novel wireless radio access techology such as NOMA, massive MIMO, OAM, OTFS, OCDM, etc. for new waveform, AI-native, enhanced spectrum efficiency, high mobility support
Various umanned mobility (UAV, UGV, USV, UUV), their collabortive operations, bio-inspired intelligent swarm and collaboration
Develop/optimize supervised, unsupervised, reinforcement, and hybrid learning-based deep learning models and algorithms for various applications such as wireless communications, robotics, video processing, etc.
Quantum Neural Networks for leveraging quantum computing principles to enhance machine learning algorithms and models