Research output per year
Research output per year
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.
Overview
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 2010 → 31 Aug 2014
Award Date: 1 Sept 2014
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Collaborations and top research areas from the last five years
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RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles
Pooranian, Z., Shojafar, M., Asef, P., Robinson, M., Lees, H. & Longden, M., 3 Nov 2023, 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Los Alamitos, CA, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 495-503 9 p. 00081. (International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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AutoDetect: A Novel Real-Time Intelligent Sensor Failure Detection for Connected Vehicles
Robinson, M., Asef, P., Shojafar, M., Pooranian, Z., Lees, H. & Longden, M., 21 May 2023, 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET). MA, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 1-6 6 p. 10150095Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Privacy and Security Threats from Smart Meters Technology
Mporas, I., Robinson, M. & Schirmer, P., 2021.Research output: Contribution to conference › Paper › peer-review
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Proceedings of Abstracts Engineering and Computer Science Research Conference 2019
Coudron, L. (Editor), Nwawe, R., Grasso, M., CHEN, Y. K., Klusak, J., Rosiello, V., Counsell, N., Herfatmanesh, M. R., Partou, H., Menon, C., Barker, T., Veneziano, V., Kirner, R., Tveretina, O., Verma, A., Lane, P., Lilley, M., Canoville, P., Robinson, M. & Crook, B. & 63 others, , 1 Sept 2019, University of Hertfordshire. 82 p.Research output: Book/Report › Anthology
Open AccessFile487 Downloads (Pure) -
Low Latency, Optical Back-and-Front-hauling for 5G Networks
Kourtessis, P., Milosavljevic, M. & Robinson, M., 15 Sept 2017, Access, Fronthaul and Backhaul Networks for 5G & Beyond. Imran , M. A., Zaidi , S. A. R. & Shakir, M. Z. (eds.). The Institution of Engineering and Technology, p. 419 –460 42 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
1394 Downloads (Pure)