Drone

Research Themes

A brief overview of the cutting-edge research

"The important thing is to not stop questioning. Curiosity has its own reason for existing."

Albert Einstein

Our research

Our research brings together researchers and industrial experts focusing on the integration of three main themes:

 

Edge Computing and IoT/UAV Networks

Our research develops AI for low-power and limited communication, computation resources on edge devices on ground and UAV. Learning algorithms to update models on the edge and in distributed environments. 5G-enabled UAV for autonomous navigation and relays.

5G Communications

Our research shall address limitations of current 5G for different domains including air-to-ground and air communications. This in combination with novel approaches in interference mitigation and channel modeling enables deployment in urban environments and will bring together 5G on edge with AI analytics

Data Engine and Machine Learning

Machine learning with explainability and uncertainty: the ability to assess the performance and relay it to operators for AI-assisted decision making. This will enable data models to explain its current situation and to adapt to unfamiliar environments by training with new data. 

The research will also develop methods of information fusion and situation awareness in producing a common operational picture for modernized command and control systems.


Research Applications and Outcomes

Research in edge computing and IoT, UAV networks, 5G communications, data engine with machine learning

The research is integrated together as a development in architecture for defence/security and demonstrated at test sites in collaboration with City of Calgary.

Drone image
5G Image
AI Robot holding moon replica

Framework for edge-to-core data processing

Edge algorithms for object detection, tracking, mapping

Distributed data analysis

New Federated/ML methods and analysis for network performance

Synthetic data generation

Enhancing 5G and 5G-enabled UAV

Transceiver designs for 5G                                         Multi-UAV adaptivity and access points

Interference mitigation for A2G                                   Approaches for UAV as a relay

Beamforming or UAV/ground                                      UAV-aided networks for ultra-dense IoT

Enhanced AI capability for 5G network                       Frameworks, network resource allocation

Application Demonstration

Software libraries for visualizing Common Operational Picture

Multiple data source fusion

5G-capable UAV for smart city

Feasibility and performance testing