Rahman Doost-Mohammady

Rahman Doost-Mohammady is an Assistant Research Professor in the Department of Electrical and Computer Engineering at Rice University. He specializes in wireless networking, machine learning, and reconfigurable computing, focusing on AI-driven resource allocation, RAN virtualization, and large-scale MIMO systems. His work contributes to platforms like RENEW, ETHOS, and Houdini, aiming to optimize next-generation networks.

Education:

• PhD in Computer Engineering, Northeastern University (2015)
• MSc in Embedded Systems, Delft University of Technology (2009)
• BSc in Computer Engineering, Sharif University of Technology (2006)

Research Interests:

His research bridges wireless systems, machine learning, and software-defined networking. Key areas include 5G/6G architectures, dynamic spectrum access, and end-to-end system design for massive MIMO. Recent work emphasizes AI integration into wireless protocols to enhance efficiency and scalability.

Publications Trends:

Recent articles focus on DRL-based resource scheduling, MIMO detection algorithms, and open RAN frameworks. His work addresses challenges in multi-user beamforming, adversarial network resilience, and real-time baseband processing.

Awards:

• 2012 IEEE Best Paper Award (Cognitive Radio Networks)
• TU Delft Graduate Fellowship (2007)

Advising & Grants:

He advises over 20 graduate and undergraduate students, focusing on wireless systems and ML integration. Current grants include NSF-funded projects like Houdini ($4.5M) and ETHOS ($1.9M), emphasizing open spectrum platforms and ML-enabled RAN testing.

Labs/Teams:

Leads the RENEWLab at Rice, developing software-defined massive MIMO platforms. Collaborates with NSF PAWR initiatives and industry partners like Facebook (MagmaML) and Skylark Wireless.