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SIRIUS
Home
People
Research
Communication theory
Electromagnetic information theory interface
Advanced material empowered communications
Machine learning empowered communications and advanced signal processing
Empowered Communications & Networking
Semantic communications
Communications for biomedical applications
Ultra-dense networking
Publications
Books
Conferences
Journals
Open Datasets
Patents
White Papers
Projects
In-Progress
Completed
Contact
News
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Electromagnetic information theory interface
Key Research Areas & Activities
Key LIMITS of electromagnetic information theory
Studying the Shannon-theoretic capacity of electromagnetic channels.
Analyzing wave propagation effects on information density (e.g., near-field vs. far-field regimes).
Investigating the role of entropy and mutual information in EM wave scattering.
Waveform Design & Modulation for Wireless Systems
Developing novel modulation schemes for metasurfaces and reconfigurable intelligent surfaces (RIS).
Developing metasurface/RIS-assisted waveforms
Optimizing time-domain and spatial-domain signal encoding for ultra-wideband (UWB) and THz communications.
Exploring joint radar-communication waveforms for dual-function systems.
Electromagnetic Metamaterials & Information Processing
Designing metamaterial-based antennas and absorbers for controlled information transfer.
Studying information-theoretic limits of metasurface-aided wireless networks.
Developing programmable EM environments for enhanced MIMO and beamforming.
Quantum Electromagnetic Information Theory
Investigating quantum noise and decoherence in electromagnetic information channels.
Exploring quantum radar and quantum-enhanced sensing.
Analyzing entanglement-assisted communication in the EM domain.
Computational Electromagnetic & Machine Learning for Information Extraction
Using numerical methods (MoM, FDTD, FEM) to model Electromagnetic-information interactions.
Applying deep learning for inverse scattering and electromagnetic signal reconstruction.
Designing on-the-wave signal processing approaches
Developing AI-driven optimization of electromagnetic wavefronts for data transmission.