Vladimir Dyo

Vladimir Dyo serves as a Lecturer in Communications and Signal Processing within the Department of Electronic Engineering at Royal Holloway, University of London. His academic profile features 29 research outputs including 20 journal articles and 9 conference contributions, with active publication through 2025. His work contributes to UN Sustainable Development Goals related to sustainable cities and good health.

Dr. Dyo's research spans Signal Processing, Communications, Internet of Things, Machine Learning, Embedded Systems, and Biomedical Sensing. He develops practical applications including bus-based urban sensor networks for intelligent coverage calibration, convolutional neural networks for industrial fault detection, and investigations into factors affecting medical device accuracy. His interdisciplinary approach addresses real-world engineering challenges while advancing theoretical frameworks in signal processing.

Analysis of his 2024-2025 publications reveals consistent innovation in sensor network deployment and calibration techniques. Key themes include optimizing k-hop calibration for urban sensing coverage, enhancing centrifugal pump reliability through transfer learning, improving pulse oximeter accuracy across diverse skin pigmentation, and advancing visual SLAM systems using GAN-based inpainting. His work demonstrates strong collaboration patterns with researchers across computer science and engineering disciplines.

His scientific contributions have been recognized through:

• Shell Centenary Scholarship (2002)
• Vodafone/EPSRC Dorothy Hodgkin Postgraduate Award (2004)

No information is available regarding student advising activities or specific research grants in the provided materials. Similarly, while his publications indicate multi-institutional collaborations, no dedicated laboratory or research team structure is specified in the current documentation.