Hussain Al-Rizzo
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Hussain Al-Rizzo's research focuses on advanced antenna systems and communication technologies, particularly in the realm of massive multiple-input multiple-output (MIMO) systems and millimeter-wave communication. His work investigates novel approaches to channel estimation and direction of arrival estimation, utilizing techniques such as transformer-based models and deep learning frameworks. Al-Rizzo has published on topics including modern printed-circuit antennas and hybrid transformer-based channel estimation for massive MIMO systems. His recent publications explore the application of low-rank adaptation optimization for channel estimation and deep learning-based electromagnetic frameworks for direction of arrival estimation in millimeter-wave systems.
Metrics
- Publications: 5
Selected Publications
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Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization (2026)
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Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization (2026)
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Deep Learning-Based Rigorous Electromagnetic Framework for Direction of Arrival Estimation in Millimeter-Wave Communication Systems Based on Embedded Radiation Patterns (2026)
Collaboration Network
Top Collaborators
- Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization
- Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization
- Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization
- Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization
- Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization
- Hybrid Transformer-Based Channel Estimation for Massive Multiple-Input Multiple-Output Systems Using Low-Rank Adaptation Optimization
- Deep Learning-Based Rigorous Electromagnetic Framework for Direction of Arrival Estimation in Millimeter-Wave Communication Systems Based on Embedded Radiation Patterns
- Deep Learning-Based Rigorous Electromagnetic Framework for Direction of Arrival Estimation in Millimeter-Wave Communication Systems Based on Embedded Radiation Patterns
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