Vladimir Dyo
Dr Vladimir Dyo is a Lecturer in Communications and Signal Processing at the Department of Electronic Engineering, Royal Holloway, University of London. He received an MSc in Data Communications, Networks and Distributed Systems (DCNDS) from University College London in 2003 and subsequently completed a PhD under supervision of Dr Cecilia Mascolo.
During his thesis he was involved in EPSRC WILDSENSING project working on a distributed wireless sensor network system for wildlife tracking. Prior to joining the University of Bedfordshire he was visiting Computer Lab, University of Cambridge and working as a research intern at Microsoft Research Cambridge.
His primary research interests are wireless sensing, IoT, energy harvesting, and machine learning.
Recent Publications
Sunal CE, Velisavljevic V, Dyo V, Newton B, Newton J. Centrifugal Pump Fault Detection with Convolutional Neural Network Transfer Learning. Sensors. 2024; 24(8):2442. https://doi.org/10.3390/s24082442 [PDF]
C. Theodorou, V. Velisavljevic, V. Dyo and F. Nonyelu, "From Augmentation to Inpainting: Improving Visual SLAM with Signal Enhancement Techniques and GAN-based Image Inpainting," in IEEE Access, doi: 10.1109/ACCESS.2024.3374197 [PDF].
H. Zarrar and V. Dyo. Drive-by Air Pollution Sensing Systems: Challenges and Future Directions. In IEEE Sensors Journal, vol. 23, no. 19, pp. 23692-23703, 1 Oct.1, 2023, DOI: 10.1109/JSEN.2023.3305779 [PDF]
C. Theodorou, V. Velisavljevic, V. Dyo, Visual SLAM for Dynamic Environments Based on Object Detection and Optical Flow for Dynamic Object Removal, Sensors 2022, 22(19), 7553; DOI: https://doi.org/10.3390/s22197553 [PDF]
C. Theodorou, V. Velisavljevic, V. Dyo, F. Nonyelu, Visual SLAM Algorithms and their Application for AR, Mapping, Localization and Wayfinding, Elsevier Array, Volume 15, 2022, p. 100222, ISSN 2590-0056, DOI: 10.1016/j.array.2022.100222. [PDF]
C. E. Sunal, V. Dyo and V. Velisavljevic, Review of Machine Learning based Fault Detection for Centrifugal Pump Induction Motors. IEEE Access, vol. 10, pp. 71344-71355, 2022, DOI: 10.1109/ACCESS.2022.3187718 [PDF]
V. Dyo, Behaviour-neutral Smart Charging of Plugin Electric Vehicles: Reinforcement learning approach. IEEE Access, vol. 10, pp. 64095-64104, 2022, doi: 10.1109/ACCESS.2022.3183795 [PDF]
Tracking Human Motion Direction with Commodity Wireless Networks. H. Rahaman and V. Dyo, IEEE Sensors Journal, Volume: 21, Issue: 20, October 15, 2021, doi: 10.1109/JSEN.2021.3111132 [PDF]
V. Dyo, J. Ali, Privacy-preserving Identity Broadcast for Contact Tracing Applications. 12th Wireless Days Conference (WD 2021), 30 June - 02 July, 2021, Paris, France, doi: 10.1109/WD52248.2021.9508281 [PDF]
J. Ali, V. Dyo, Cross Hashing: Anonymizing Encounters in Decentralised Contact Tracing Protocols. 35th International Conference on Information Networking (ICOIN 2021), Jeju, Korea. January 2021. doi: 10.1109/ICOIN50884.2021.9333939 [PDF]
J. Ali, V. Dyo, S. Zhang, Battery-assisted Electric Vehicle Charging: Data Driven Performance Analysis. IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe 2020). The Hague, Netherlands. October 2020. doi: 10.1109/ISGT-Europe47291.2020.9248941 [PDF]
H. Rahaman, V. Dyo, Counting calories without wearables: Device-free Human Energy Expenditure Estimation. 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2020), October 2020. doi: 10.1109/WiMob50308.2020.9253424 [PDF]
J. Ali and V. Dyo. Practical Hash-based Anonymity for MAC Addresses. In Proc. of the 17th International Joint Conference on e-Business and Telecommunications - SECRYPT, ISBN 978-989-758-446-6; ISSN 2184-7711, pp 572-579. doi: 10.5220/0009825105720579 [PDF]
B. Munir, V. Dyo, Passive Localization through Light Flicker Fingerprinting. IEEE Sensors Journal, 2019, vol. 19, no. 24, doi: 10.1109/JSEN.2019.2936899. [PDF]
B. Munir and V. Dyo. On the impact of mobility on battery-less RF energy harvesting system performance. Sensors 2018, 18(11), 3597; Oct 2018, doi: 10.3390/s18113597. [PDF]
J. Ali and V. Dyo. Coverage and Mobile Sensor Placement for Vehicles on Predetermined Routes: a Greedy Heuristic Approach". 14th International Joint Conference on e-Business and Telecommunications - Vol. 5: WINSYS (ICETE 2017), p. 83-88, SCITEPRESS, Madrid, Spain, July 2017, doi: 10.5220/0006469800830088. [PDF]
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