Al-Rizzo Hussain Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Little Rock

unknown

5 pubs

Research Areas

Advanced Neural Network Applications Semiconductor materials and devices Telemedicine and Telehealth Implementation Technology Adoption and User Behaviour Mobile Health and mHealth Applications

Links

Lab Website

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OverviewAI-generated summary

Al-Rizzo Hussain's research focuses on advancements in wireless communication systems, particularly for future applications like 6G networks. His work investigates the use of cooperative multi-agent deep reinforcement learning to enhance spectral efficiency in downlink beamforming. Additionally, Hussain has studied the application of maximum ratio transmission to improve pedestrian safety at crosswalks within vehicle-to-everything (V2X) environments operating at 28 GHz. He also explores channel modeling techniques using deep neural networks in conjunction with reconfigurable intelligent surface (RIS)-powered wireless communication systems. Hussain has authored five publications, with his most recent work appearing in 2026.

Metrics

  • Publications: 5

Selected Publications

  • Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning (2026) DOI
  • Maximum Ratio Transmission for Pedestrians’ Safety at Crosswalks in An Outdoor V2X Environment at 28 GHz (2026) DOI
  • Channel Modeling using Deep Neural Network with RIS-powered Wireless Communication Systems (2026) DOI

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