Rahman Doost-Mohammady

Rahman Doost-Mohammady

Assistant Research Professor

Rice University

I am an Assistant Research Professor in Electrical and Computer Engineering at Rice University. My research lies at the intersection of wireless networking, machine learning, and reconfigurable computing and software-defined systems. My current work focuses on developing intelligent and efficient wireless networks by leveraging AI-driven resource allocation, RAN virtualization, and large-scale MIMO architectures. I design and implement end-to-end systems that integrate real-time machine learning algorithms with advanced wireless protocols to optimize performance in next-generation networks, including 5G and beyond.

Projects

ETHOS: Multi-dimensional Approach to ML-Enabled RAN Software Testing

Website

3DML: Machine Learning-based Platform Design for Next-Gen Wireless Networks

A Platform for Data, Design and Deployed Validation of Machine Learning for Wireless Networks and Mobile Applications
Website

RENEW: Reconfigurable Eco-system for Next-generation End-to-end Wireless

Design and deployment of software-defined massive MIMO on the POWDER Platform
Website

Recent & Upcoming Talks

Recent Publications

  • A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks
    Qing An, Chris Dick, Santiago Segarra, Ashutosh Sabharwal, and Rahman Doost-Mohammady
    IEEE TMLCN 2023

  • Agora: Software-based real-time massive MIMO baseband processing
    Jian Ding, Rahman Doost-Mohammady, Anuj Kalia, and Lin Zhong
    CoNEXT 2020 [ PDF]

  • Good Times for Wireless Research
    Rahman Doost-Mohammady, Oscar Bejarano, and Ashutosh Sabharwal
    WiNTECH 2020 [ PDF]

  • Design and Implementation of Scalable Massive MIMO
    Clayton Shepard, Josh Blum, Ryan Guerra, Rahman Doost-Mohammady, and Lin Zhong
    OpenWireless 2020 [ PDF]

PhD Staff/Graduate Students

Postdoc

  • Zongshen Wu (with Ashutosh Sabharwal)

Current

  • Qing An

Alumni

  • Mehdi Zafari (MS'24)

Contact

  • doost AT rice DOT edu
  • 713-348-3291
  • 6100 Main St, Houston, TX 77005
  • O'Connor Engineering and Sciences Building - 438