Undergraduate Dissertations

• Toby Claxton (2024/25, Client Security and Orchestration in a Hostile Physical Environment)
• Ryan Gray (2024/25, Scalable Factory Management Platform using LoRaWAN)
• Janiru Fonseka (2024/25, Auditable and tamper-proof compensation tracking using blockchain)
• Callum Doherty (2024/25, Interactive visualisation of an autonomous aerial drone using a digital twin)
• Bradley Hanna (2024/25, Cross-Libraries Malware Scanner for Aerial Drones)
• Callum Neill (2023/24, Logical puzzle generating web application for the development of critical thinking)
• Matthew Hanna (2023/24, Safety Assessment of the Internet of Medical Things (IoMT) using a digital twin)
• Matthew Newell (2023/24, Generative AI and 3D Modelling)
• Nathan Neville (2023/24, Threat intelligence of autonomous ground robots)
• Fannya Ratana Sandjaja (2023/24, Software as a Service for Secure Drone Communication and Swarming)
• Dylan Smith (2023/24, Safety Assessment of Autonomous Aerial Vehicles Using Digital Twins)
• Xinrui Wang (2023/24, Inventory Management Software as a Service using Lightweight Blockchain)
• Aish Singh (2022/23, Hey Q!: Speech content independent Speaker Verification System)
• Blazej Nowakowski (2022/23, Safety Assurance Mapping of Autonomous Vehicles Through a Digital Twin)
• Ronan Cartin (2022/23, Intelligent Mapping of Similar Exemplars Across Different Modules)
• Ronan Bloomer (2021/22, Non-repetitive multi-factor authentication for home automation systems)
• Gyan Wickremasinghe (2021/22, B-BOM - Blockchain-based bill of material for aircraft industry)
• Evan Wellard-McMillan (2021/22, Process management and verification of industrial control systems with blockchain)
• Ronan Mac Devit (2021/22, A flexible and robust monitoring system for distributed IoT networks)
• Dawson Mckee (2021/22, Automated event verification of autonomous vehicles)
• Jack Foy (2021/22, Digital twin for identifying smart adversaries in the Industrial Internet of Things)
• Aileen Tracey (2020/21, Legal document management via a private blockchain)
• Conor Browne (2020/21, Efficient multi-factor authentication system for Industrial Internet of Things (IIoT))
• Hannah Cunningham (2020/21, Geometry security to enhance authentication mechanisms for smartphones)
• Jamie Mcilwrath (2020/21, Lightweight mechanism for data privacy via on-device federated learning for IoT)
• Matthew Wallace (2020/21, Behaviour-rules verification system for Medical Internet of Things (MIoT))