My research aims to develop AI-native wireless systems for 6G and beyond that are reliable, secure, energy-efficient, and capable of supporting future digital infrastructure with broad societal and economic impact. I work at the intersection of information theory, estimation theory, statistical signal processing, optimization, and machine learning to understand the fundamental trade-offs between reliability, latency, security, sensing, and environmental awareness in emerging networks. My goal is to bridge rigorous model-based design with data-driven intelligence, enabling wireless systems that can adapt to complex environments, resist adversarial disruption, and support high-impact applications such as autonomous systems, smart cities, critical infrastructure, remote connectivity, and next-generation mobile services. Current directions include integrated sensing and communications, reconfigurable intelligent surfaces, non-terrestrial networks, finite-blocklength secure communications, and learning-driven network control using reinforcement learning, generative models, and foundation-model-based approaches.
A research program developing physical-layer security solutions for Integrated Sensing and Communications (ISAC) systems, using Stackelberg game theory and deep reinforcement learning to protect dual-function base stations against intelligent mobile adversaries.
An ARC-funded project developing new theoretical frameworks and transmission designs to secure wireless IoT and machine-type communications in the finite blocklength regime — the critical operating mode for 6G networks where short packets and strict latency constraints invalidate classical security results.
A PhD research program designing and optimizing physical-layer security frameworks for UAV-assisted wireless networks, combining convex optimization and deep reinforcement learning to achieve secure, energy-efficient aerial communications in beyond-5G systems.
An early-career research program on physical-layer security for two-way relay networks where the forwarding node is inherently untrusted, exploiting cooperative jamming and wireless energy harvesting to achieve information-theoretic security without additional power infrastructure.