Skip to main content

Research profile

Research

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.

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
Study mode
Full time

Advisory team

Interactive model · Physical-layer security

Steer the channel, not just the signal

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.

Explore the full playground
Secrecy Beam Lab Secure beam steering · 30 sec–3 min Open standalone

This model needs a little more screen width to keep its controls usable. Open standalone

Research trajectory

The progression from systems and resource cooperation to secure wireless optimization is part of one continuous research story.

  1. Now

    Secure and resilient wireless intelligence

    Physical-layer security and dependable learning-enabled communications for energy-constrained IoT and IoE systems under adversarial interference.

  2. M.Eng.

    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.

  3. 2021–26

    Collaborative and wireless-powered edge computing

    Research on incentive mechanisms, social-welfare-aware allocation, and online energy management for cooperative and wireless-powered edge systems.

  4. 2020–22

    Nonlinear signal analysis and plasma turbulence

    First-author work on bispectral methods for nonlinear wave coupling, followed by collaborative applications to plasma-turbulence analysis.

  5. B.Eng.

    5G control and embedded intelligent systems

    The undergraduate thesis studied adaptive antenna-feed control for 5G base stations, alongside collaborative work on embedded vision, edge offloading, and robotic tracking.

Academic background & selected recognition

Education and selected recognition spanning doctoral, graduate, and undergraduate study.

Education

  • PhD in Engineering — Electrical & Computer Engineering, Khalifa University (current)
  • M.Eng. in Information and Communication Engineering, UESTC (2024)
  • B.Eng. in Internet of Things Engineering and B.Econ. in Finance, UESTC (2021)
  • Graduate exchange in Computer Science, Khalifa University (Spring 2024)

Selected recognition

  • National Scholarship Awarded three times: twice during undergraduate study and once during master’s study.
  • First-Class University Scholarship Awarded in every academic year at UESTC.
  • Best Paper Award IEEE iWRF&AT 2024
  • National First Prize National Embedded Chip and System Design Competition · 2022
  • Sichuan Province Outstanding Graduate Awarded upon undergraduate graduation