⏳ Current PhD Students

This research explores integrating satellite, aerial (UAV), and high-altitude platform systems (HAPS) with terrestrial networks to ensure global coverage and resilience in communication infrastructure. It focuses on protocol design, mobility management, and latency optimization to support seamless communication in 6G and beyond.

The work focuses on developing cryptographic hardware architectures that are resistant to quantum attacks, ensuring long-term data security. It includes the evaluation of post-quantum algorithms and the implementation of lightweight secure designs suitable for IoT and embedded devices.

This project involves the design of smart inverters that adapt to consumer preferences while meeting real-time grid demands. It emphasizes AI-based energy control strategies, bidirectional communication, and interoperability with renewable energy sources.

The goal is to design and evaluate hybrid communication models combining DSRC, C-V2X, and 5G to support autonomous and connected vehicles. The research investigates seamless handover, latency reduction, and data reliability in high-mobility scenarios.

This work focuses on optimizing the selection of object information shared among vehicles to reduce network congestion while maintaining safety-critical awareness. It develops decision algorithms based on object relevance, prediction confidence, and spatiotemporal value.
🎓 Former PhD Students

This research focused on coding schemes that support progressive data decoding over unreliable channels, particularly in streaming and control feedback applications. It addressed challenges in latency, complexity, and error resilience, paving the way for robust low-delay communications.
💡 Current Master’s Project Students
- Ninglin OU – Reducing the Carbon Footprint of Electric Vehicle Charging
- Sudeep Nair – Cooperative Fountain Code for Enhanced UAV Video Transmission
- Maryanne Rego – Beyond the Helix: Error Analysis for DNA-Based Data Storage
- Jize Jiang – Performance Analysis of Sustainable Platooning on Irish Motorways
- Duo Zhang – Resource Allocation for LEO Satellite-Based Edge Computing