My research focuses on the end-to-end design and testing of open, programmable, intelligent, and secure next-generation cellular networks. Most of this work is done with the team at the Institute for Intelligent Networked Systems (INSI) at Northeastern University, and is released as open-source software and testbeds.

• dApps and the E3 interface: real-time AI inference and control in the Open RAN, now part of commercial protocol stacks (NVIDIA Aerial, Nokia, Cohere, Radisys).
• AI-RAN: open architectures for the convergence of AI and the radio access network, agentic and LLM-driven RAN automation, and GPU-accelerated RAN.
• Spectrum sharing and coexistence: sharing between active and passive users above 100 GHz, the 7-24 GHz upper midband (FR3), and terrestrial/non-terrestrial coexistence.
• Open6G: Northeastern’s Open RAN testing and integration center (OTIC) and the X5G, Colosseum, and private 5G testbeds.

The O-RAN tutorial “Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges” (IEEE Communications Surveys & Tutorials, 2023; open access, 1500+ citations) is a good starting point for the Open RAN background. The full list of papers is on the publications page.