Amirhossein Azarbahram

Orcid: 0009-0005-1494-5309

According to our database1, Amirhossein Azarbahram authored at least 13 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Sequential Monte Carlo for Resilient Networks: Assessment, Mitigation, and Generative Modeling.
CoRR, May, 2026

Beamforming and Waveform Optimization for RF Wireless Power Transfer With Beyond Diagonal Reconfigurable Intelligent Surfaces.
IEEE Trans. Wirel. Commun., 2026

Bat Algorithm-Based Energy Beamforming for Wireless Power Transfer With Dynamic Metasurface Antennas.
IEEE Trans. Commun., 2026

End-to-End Joint Waveform and Beamforming Optimization for RF Wireless Power Transfer With Hybrid Transmit Architecture and Nonlinear Energy Harvesters.
IEEE Internet Things J., 2026

2025
Zero-Energy Devices for 6G: Technical Enablers at a Glance.
IEEE Internet Things Mag., May, 2025

Waveform Optimization and Beam Focusing for Near-Field Wireless Power Transfer With Dynamic Metasurface Antennas and Non-Linear Energy Harvesters.
IEEE Trans. Wirel. Commun., February, 2025

Beyond Diagonal Reconfigurable Intelligent Surfaces for Multi-Carrier RF Wireless Power Transfer.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

2024
High-Power and Safe RF Wireless Charging: Cautious Deployment and Operation.
IEEE Wirel. Commun., December, 2024

Energy Beamforming for RF Wireless Power Transfer With Dynamic Metasurface Antennas.
IEEE Wirel. Commun. Lett., March, 2024

Energy-Autonomous Roadside Nodes in V2I Using RF Energy Harvesting.
IEEE Open J. Commun. Soc., 2024

On the Radio Stripe Deployment for Indoor RF Wireless Power Transfer.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

End-to-End Waveform and Beamforming Optimization for RF Wireless Power Transfer.
Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Deep Reinforcement Learning for Multi-User RF Charging with Non-linear Energy Harvesters.
Proceedings of the 2024 IEEE Global Communications Conference, 2024


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