Dr Vladimir Stankovic


Electronic and Electrical Engineering

Personal statement

I have been focusing on hybrid intelligence and graphical methods to perform signal representation, characterisation, modelling, and analysis. I am working on translating the fundamental research findings into development of practical Artificial Intelligence (AI)-driven engineering solutions for a wide range of global and national challenges, including  energy efficiency, landslides monitoring via seismic signal analysis, and health and well-being. 


Has expertise in:


    • Hybrid intelligence
    • Energy disaggregation
    • Seismic signal analysis
    • Interpretable machine learning
    • Graph signal processing
    • Motion analysis
    • Multimedia processing and communications

Prizes and awards

Finalist of the World first 10K Best paper Award (Top 3%)
IEEE Multimedia Signal Processing Workshop (MMSP) top 10% best paper award 2010

More prizes and awards


  • PhD (Dr-Ing), University of Leipzig, Germany, 2003
  • MEng (Dipl-Ing) Electrical Engineering, University of Belgrade, 2000.

Professional activities:

  • Area Editor for IEEE Transactions on Communications (since 2021)
  • Associate Editor-in-Chief for IEEE Circuits and Systems for Video Technology
  • Associate Editor for IEEE Transactions on Image Processing (2012-2017)
  • Editor at Large for IEEE Transactions on Communications (2011-2021)
  • Associate Editor for IEEE Communications Letters (2006-2011)
  • Area Editor for Elsevier Signal Processing: Image Communication
  • General Chair IEEE Multimedia Signal Processing (MMSP) Workshop 2017


Synthetic data generation for Deep Learning-based Inversion for Velocity Model Building
Parasyris Apostolos, Stankovic Lina, Stankovic Vladimir
Remote Sensing (2023)
Domain knowledge informed multitask learning for landslide induced seismic classification
Li Jiangfeng, Ye Minxiang, Stankovic Lina, Stankovic Vladimir, Pytharouli Stella
IEEE Geoscience and Remote Sensing Letters (2023)
Explainability-informed feature selection and performance prediction for nonintrusive load monitoring
Mollel Rachel Stephen, Stankovic Lina, Stankovic Vladimir
Sensors Vol 23 (2023)
Near surface full waveform inversion via deep learning for subsurface imaging
Parasyris A, Stankovic L, Pytharouli S, Stankovic V
Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World : Proceedings of the ITA-AITES World Tunnel Congress 2023 (WTC 2023), 12-18 May 2023, Athens, Greece World Tunnel Congress 2023, pp. 2829-2836 (2023)
Improving knowledge distillation for non-intrusive load monitoring through explainability guided learning
Batic Djordje, Tanoni Giulia, Stankovic Lina, Stankovic Vladimir, Principi Emanuele
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
Semi-supervised seismic event detection using Siamese Networks
Murray David, Stankovic Lina, Pytharouli Stella, Stankovic Vladimir
EGU General Assembly 2023 (2023)

More publications


  • Image/video processing
  • Analogue and digital communication systems
  • Signals and systems
  • Information theory

Research interests

Signal and information processing as applied to

  • Smart homes/buildings
  • Micro-seismic signal analysis
  • Health monitoring
  • Remote sensing
  • Computer Vision

Professional activities

IEEE Transactions on Circuits and Systems for Video Technology (Journal)
Peer reviewer
EURASIP Awards Committee (External organisation)
IEEE Transactions on Communications (Journal)
Peer reviewer
IEEE Transactions on Communications (Journal)
Peer reviewer
Appliance Usage Detection from Smart Meter Data Using Supervised and Unsupervised Non-Intrusive Load Monitoring
IEEE Transactions on Circuits and Systems for Video Technology (Journal)
Editorial board member

More professional activities


Quantifying temporal and spatial causalities between climate change and slope failures (New Horizons)
Stankovic, Lina (Principal Investigator) Pytharouli, Stella (Co-investigator) Stankovic, Vladimir (Co-investigator)
01-Jan-2022 - 30-Jan-2024
Near real-time AI-based spatio-temporal analysis of large seismic data sets for illuminating slope instabilities (SPORAL) RSE Saltire International Collaboration Awards
Stankovic, Lina (Principal Investigator) Pytharouli, Stella (Co-investigator) Stankovic, Vladimir (Co-investigator)
01-Jan-2022 - 31-Jan-2024
Boxing Training Machine
Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator)
05-Jan-2021 - 30-Jan-2021
building GrEener and more sustainable soCieties by filling the Knowledge gap in social science and engineering responsible artificial intelligence co-creatiOn (GECKO) MSCA-ITN-2020
Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator)
01-Jan-2021 - 31-Jan-2024
Smart pumping for Subsurface Engineering (Prosperity Partnership)
Shipton, Zoe (Principal Investigator) Corney, Jonathan (Co-investigator) Dempster, William (Co-investigator) Perry, Marcus (Co-investigator) Pytharouli, Stella (Co-investigator) Stankovic, Lina (Co-investigator) Stankovic, Vladimir (Co-investigator) Yang, Shangtong (Co-investigator) Fan, Ding (Researcher) Parastatidis, Emmanouil (Researcher) Rizzuto, Francesco (Researcher) Xi, Xun (Researcher)
Prosperity Partnership: Predictive pumping
01-Jan-2018 - 31-Jan-2023
Signal Processing in the Information Age (UDRC III)
Weiss, Stephan (Principal Investigator) Stankovic, Vladimir (Co-investigator)
UDRC III: Signal Processing in the Information Age
01-Jan-2018 - 31-Jan-2024

More projects


Electronic and Electrical Engineering
Royal College

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