Personal profile

Research interests

Matthew is working as a Research Fellow within the field of 6G communications; specifically targeting Software Defined Networking (SDN), Machine Learning (ML), Software Defined Radio (SDR) Satellite Communication, and Video Broadcasting Systems.


Matthew has worked in multiple European and commercially funded research projects at the University of Hertfordshire:


  • SAT>IP WiFi Live Mobile TV: in collaboration with Global Invacom, BBC R&D, funded by the European Space Agency: Bringing together Software Defined Networking, Forward Error Correction and WiFi to demonstrate an error free and adaptable Multicast Video system, allowing a WiFi access point to be turned into a TV station capable of broadcasting to 1000’s of smart devices at the same time.
    • Patent: Robinson, et al: “Improvements to video data distribution networks”. GB Patent Number: GB2612705A.
    • Website: Bx-WiFi ESA
    • REF 2021: Impact Case Study


  • EDIoT: in collaboration with Meazon, funded by H2020: Developing a Non-Intrusive Load Monitoring & Energy Disaggregation system for Smart Meters.
    • Publications: Robinson, et al: “Privacy and Security Threats from Smart Meters Technology”, ICCST 2021


  • AutoTrust: in collaboration with RL Automotive and the University of Surrey, funded by the European Space Agency: Developing an Unsupervised Machine Learning based Data Confidence system to determine the confidence of data being received from the sensors onboard commercial vehicles.
    • Publications: Robinson, et al: “AutoDetect: A Novel Real-Time Intelligent Sensor Failure Detection for Connected Vehicles”, 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET).
    • Website: AutoTrust ESA

Education/Academic qualification

Engineering, MEng, Digital Communications and Electronics, University of Hertfordshire

1 Sept 201031 Aug 2014

Award Date: 1 Sept 2014


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