Signal Processing and Communications

  • Integrated Antennas
  • Low power antennae materials and designs
  • Systems on flexible substrates
  • Printed antennas
  • Sensor connectivity, learning and IoT
  • Sensor stochastically networks and resiliency
Faculty working in the area

 

Self-powered sensor, antenna design on flexible substrate and on-chip

 

  • Silver/Nickel 3D printed on Kaptone

    Silver/Nickel 3D printed on Kaptone

  • Gold on PEN substrate

    Gold on PEN substrate

  • Silver nanoparticle ink-jet printed on Polyimide and paper substrates

    Silver nanoparticle ink-jet printed on Polyimide and paper substrates

  • Micro-photograph of the on-chip wireless power transfer system designed in CMOS process

    Micro-photograph of the on-chip wireless power transfer system designed in CMOS process

  • Reverse Electrowetting Dielectric based self-powered Stress-strain/vibration sensor

    Reverse Electrowetting Dielectric (REWOD) based self-powered Stress-strain/vibration sensor

 

Deep machine learning enabled cooperative perception

 

  • Convolutional neural network block diagram

    Convolutional Neural Network (CNN)

  • Spatial feature fusion block diagram

    Spatial feature fusion

system diagram for voxel feature fusion and spatial feature fusion

 

Intelligent edge computing for IoT

 

  • waveforms showing Efficient and intelligent edge processing for sensors

    Edge-based streaming analytics and machine learning inferences achieve higher fidelity on live sensor data.

  • block diagram for edge intelligence for smart buildings and self-driving cars

    Edge intelligence for smart buildings and self-driving cars

 

Embedded sensor systems, networks and statistical signal processing

 

  • Integrated environmental monitoring system

    Integrated environmental monitoring system

  • IoT embedded sensor systems

    IoT embedded sensor systems

  • Bayesian estimation, particle filtering for collaborative localization and tracking

    Bayesian estimation, particle filtering for collaborative localization and tracking

  • Compressing sensing

    Compressing sensing

 

Towards trustworthy IoT systems

 

  • system layer diagram

    Lack of Trust in Connected Devices
    • Misconfiguration or weak password
    • DoS attack or Botnet
    • Out-of-date software
     
    Opportunities in the Era of IoT
    • Huge amount of devices
    • Cross validation is possible
    • Trust computation and trust inference
  • figure illustrates potential solution

    Potential Solution at edge layer
    1. Constructing the trust relations among connected devices in an IoT system
    2. Modelling the trust relations based on the cross validation of sensing data
    3. Identifying trustworthy devices to serve as the anchor nodes
    4. Inferring unknow trust relations via trust assessment algorithm
    5. Eliminating untrustworthy devices

 

Reconfigurable Phased-Array Antennas

 

  • Reconfigurable Phased-Array Antennas 1

  • Reconfigurable Phased-Array Antennas 2

 

Multi-Beam Lens Antennas for Millimeter-Wave Communications

 

  • Multi-Beam Lens Antennas for Millimeter-Wave Communications 1

  • Multi-Beam Lens Antennas for Millimeter-Wave Communications 2

 

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