IoT United

Current project

Applications now open for VIP 2022 via a wait-list!


Academics will be in touch throughout the year to arrange an interview 

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.

Desired Research Areas Desired Skills


  • 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