IoT United

Current project

Applications for the 2021 intake open 14 September 2020.

Fill out the Expression of Interest Form if you're interested in applying.

Spaces are limited!

VIP Snapshot

The scale and diversity of the IoT and all the different smart systems on offer presents a myriad of challenges in management and integration. This project is your chance to draw the strings together and create a centralised smart services integrator to improve the performance of the overall system.

IoT United

VIP ChallENG research goals

We’ll take a holistic view of the smart ecosystem and work towards creating a centralised smart services integrator to manage all the diverse services. The research challenges that must be addressed as part of this project include:

Algorithmic contributions

This theme will explore efficient algorithms to manage the following tasks using futuristic technologies such as federated learning, micro-services modular architecture and AI-driven decision making:   

  • Access policies and rules management 
  • Anomaly detection and response 
  • Device configuration profiling and management 
  • Privacy-preserving data sharing with other integrators
  • Vulnerability analysis and response  

Hardware based implementation

In this theme, the algorithms and system design for the smart services integrator will be implemented and benchmarked on real-world commodity hardware to leverage the low cost, high performance and trustworthiness offered by such hardware implementation.

Research, design or technical ChallENG

  • Automatic profiling of IoT devices 
  • Intelligent policy and configuration management for heterogeneous IoT devices 
  • Anomaly detection and response based on AI and machine learning 
  • Vulnerability identification and automatic response 
  • Data visualisation and representation 
  • Privacy-preserving data sharing e.g., privacy-preserving federated learning framework 
  • Data privacy/private information leakage 
  • Design of hardware-based services integrator 
  • Design optimisation of the necessary hardware 
  • Benchmarking the performance of various algorithms 

Desired Background

All degrees are welcome however, students specialising in the below areas are encouraged to apply.

Research Areas Desired Degrees

 

  • Internet of Things
  • Cybersecurity, Privacy and Security
  • Cloud/Fog/Edge Computing
  • Wireless Sensor Networks
  • Artificial Intelligence and Machine Learning
  • Distributed Systems
  • Embedded Systems

 

 

  • Computer Science/Information Technology, Software Engineering
  • Artificial Intelligence and Machine Learning
  • Embedded Systems
  • Hardware Software Co-design
  • Data Visualisation
  • Mathematics/Statistics
  • Security and Privacy-preserving design

 

 

Team Academic Lead