My work connects secure wireless communications with learning-based optimization. The broader trajectory runs from nonlinear signal analysis and cooperative edge systems to physical-layer security for energy-constrained wireless networks.
Current doctoral research
Physical-layer security for zero-energy 6G IoT and IoE systems
My doctoral research studies secure and resilient transmission for future wireless systems, with particular interest in learning-enabled decision making under practical constraints.
Program
PhD in Engineering — Electrical & Computer Engineering
Dissertation
PHYSICAL LAYER SECURITY ON ZERO ENERGY 6G IOT AND IOE SYSTEMS
Adjust Alice's antenna azimuth and compare Bob's and Eve's achievable rates on a full-room energy map. Opaque obstacles block line of sight; optional walls join the same lossy specular model for up to three reflections in total.
Open Resource-as-a-Service and collaborative fog computing
A systems-and-decision track on exposing heterogeneous compute and storage resources as cooperative services. OpenRaaS provides the system foundation, while FogCom provides an experimental scheduling environment.
The undergraduate thesis studied adaptive antenna-feed control for 5G base stations, alongside collaborative work on embedded vision, edge offloading, and robotic tracking.