Research AI/ML for High-Speed Softwarized Networks (2022 - Present) A framework for non-intrusive performance intelligence and drift-resilient MLOps in NFV data planes. Large-scale Modeling of NGMA Networks (2024 - Present) Unified analytical framework for uplink RSMA, NOMA, and OMA under spatial randomness and discrete rate adaptation. Spatiotemporal Modeling & Learning for Dynamic Networks Ph.D. Research: Integrating Stochastic Geometry, Queueing Theory, and Reinforcement Learning for Network Stability.
