Organisation profile
Organisation profile
The Centre for Visual and Immersive Computing (CVIC) focuses on regional and international dimensions of knowledge/technology innovation, application and practice development, academic networking, and social service innovation. It investigates research concepts, algorithms and systems in VIV domains for the development of seamless communication mechanisms between humans and computer systems. Examples include the use of image processing to detect security threats from CCTV and the application of cognitive and engineering psychology to facilitate human behaviour in socio-technical systems. The vision of the centre for the next 5 years can be summarised as:
- Establishing a shared research vision and strengthening a united team spirit
- Forming a long-term and sustainable research strategy
- Developing collaborative and interdisciplinary research initiatives
- Nurturing early career researchers and postgraduate students
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Collaborations and top research areas from the last five years
Profiles
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Duke Gledhill
- School of Computing and Engineering - School Director of Recruitment
- CVIC - Centre for Visual and Immersive Computing - Centre Member
- Centre for Sustainable Computing - Member
- Centre for Autonomous and Intelligent Systems - Affiliate
Person: Academic
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LF-PGVIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras Using Points and Geodesic Segments
Wang, Z., Yang, K., Shi, H., Zhang, Y., Xu, Z., Gao, F. & Wang, K., 1 Apr 2025, In: IEEE Transactions on Intelligent Vehicles. 10, 4, p. 2454-2467 14 p., 10472100.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus) -
Unified Digital Twin Approach for Energy Grid Condition and Cybersecurity Monitoring
Murray, J., Huang, C., Parkinson, S., Bolton, R., Gledhill, D., Parkinson, H., Basher, D., Vulovic, V., Yang, W. & Ball, A., 23 Oct 2025, In: IEEE Access. 13, p. 180710-180724 15 p., 11205491.Research output: Contribution to journal › Article › peer-review
Open Access -
A Machine Learning Approach for Reliable Object Tracking
Amjad, B., Ahmed, Q. Z., Lazaridis, P., Khan, F., Hafeez, M. & Zaharis, Z. D., 30 May 2024, Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) : Volume 1. Ball, A. D., Ouyang, H., Sinha, J. K. & Wang, Z. (eds.). 1st ed. Springer, Cham, Vol. 151. p. 25-35 11 p. (Mechanisms and Machine Science; vol. 151 MMS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Activities
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Secure blockchain-based resource trading with compensation mechanism for 5G network services
Tul Muntaha, S. (Speaker), Lazaridis, P. (Contributor to Paper or Presentation), Hafeez, M. (Contributor to Paper or Presentation), Ahmed, Q. (Contributor to Paper or Presentation), Khan, F. (Contributor to Paper or Presentation) & Zaharis, Z. D. (Contributor to Paper or Presentation)
1 Sept 2023Activity: Talk or presentation types › Oral presentation
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Performance analysis of graph Laplacian matrices in node classification
Dai, C. (Speaker), Wei, Y. (Contributor to Paper or Presentation), Xu, Z. (Contributor to Paper or Presentation), Chen, M. (Contributor to Paper or Presentation), Liu, Y. (Contributor to Paper or Presentation) & Fan, J. (Contributor to Paper or Presentation)
1 Sept 2023Activity: Talk or presentation types › Oral presentation
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Performance analysis of a deep neural network-based spectrum sensing approach
Syed, S. N. (Speaker), Lazaridis, P. (Contributor to Paper or Presentation), Khan, F. (Contributor to Paper or Presentation), Ahmed, Q. (Contributor to Paper or Presentation), Hafeez, M. (Contributor to Paper or Presentation), Zaharis, Z. D. (Contributor to Paper or Presentation), Ivanov, A. (Contributor to Paper or Presentation) & Poulkov, V. (Contributor to Paper or Presentation)
31 Aug 2023Activity: Talk or presentation types › Oral presentation