Hao Jiang
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Hao Jiang (Jeremy) |
About me
Hao Jiang (Jeremy) is a Ph.D. candidate in Electronic Engineering at Queen Mary University of London (QMUL), where he has passed his viva subject to minor corrections. He received his B.S. and M.S. degrees from Nankai University, China. His research focuses on near-field sensing and communications, pinching-antenna systems (PASS), beamforming, and machine learning for wireless networks.
His previous research investigated spectrum sharing between Internet of Things (IoT) devices and legacy users. He has experience in optimization, deep learning, reinforcement learning, and cross-layer performance analysis across the physical (PHY) and medium access control (MAC) layers.
Recent highlights
Sept. 2026: Passed Ph.D. viva with minor corrections.
Jun. 2026: Third Place in the IEEE ComSoc Four Minute Thesis (4MT) Competition.
Apr. 2026: CSR Seminar 63 on segmented waveguide-enabled pinching-antenna systems at QMUL.
Research interests
Near-field sensing and communications
Pinching-antenna systems (PASS) and segmented waveguide-enabled architectures (SWANs)
Beamforming and multi-antenna signal processing
Machine learning for wireless networks
Spectrum sharing, symbiotic radio, and IoT networks