University of North Texas 
Signal Processing and Communications
Research Focus
- 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
Research Highlights
Self-powered sensor, antenna design on flexible substrate and on-chip
Silver/Nickel 3D printed on Kaptone
Gold on PEN substrate
Silver nanoparticle ink-jet printed on Polyimide and paper substrates
Micro-photograph of the on-chip wireless power transfer system designed in CMOS process
Reverse Electrowetting Dielectric (REWOD) based self-powered Stress-strain/vibration sensor
Deep machine learning enabled cooperative perception
Convolutional Neural Network (CNN)
Spatial feature fusion
Intelligent edge computing for IoT
Edge-based streaming analytics and machine learning inferences achieve higher fidelity on live sensor data.
Edge intelligence for smart buildings and self-driving cars
Embedded sensor systems, networks and statistical signal processing
Integrated environmental monitoring system
IoT embedded sensor systems
Bayesian estimation, particle filtering for collaborative localization and tracking
Compressing sensing
Towards trustworthy IoT systems
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- Out-of-date software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
Potential Solution at edge layer
- Constructing the trust relations among connected devices in an IoT system
- Modelling the trust relations based on the cross validation of sensing data
- Identifying trustworthy devices to serve as the anchor nodes
- Inferring unknow trust relations via trust assessment algorithm
- Eliminating untrustworthy devices
Reconfigurable Phased-Array Antennas
Multi-Beam Lens Antennas for Millimeter-Wave Communications
