Dr Vladimir Stankovic


Electronic and Electrical Engineering

Personal statement

My research broadly consists of developing novel theoretical foundations, algorithmic and system design solutions, as well as practical demonstrations for efficient acquisition, processing and communications of data. The work ranges from core signal/image processing, information and communication theory and machine learning research necessary for establishing performance limits and developing algorithms to practical system designs through implementation, visualization and user-centric design methods. I am particularly interested in explainable AI-driven environmentally-oriented information and communication technology (ICT): from low-power acquisition, processing, and communications, to application-driven data analysis.


Has expertise in:


    • Multimedia processing and communications
    • Signal/image processing
    • Explainable AI
    • Graph signal processing
    • Energy disaggregation
    • Motion analysis

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:

  • Senior Member of IEEE
  • Associate Editor 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-)
  • 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


Target detection and recognition of ground penetrating radar using morphological image analysis and graph laplacian regularisation
Dong Jun, Stankovic Vladimir, Davidson Nigel
International Conference in Sensor Signal Processing for Defence (2021)
Graph filter design for distributed network processing : a comparison between adaptive algorithms
Alinaghi Atiyeh, Weiss Stephan, Stankovic Vladimir, Proudler Ian
International Conference in Sensor Signal Processing for Defence (2021)
Undirected graphs : is the shift-enabled condition trivial or necessary?
Chen Liyan, Cheng Samuel, He Kanghang, Stankovic Vladimir, Stankovic Lina
IEEE Access (2021)
Minimising the computational time of a waveform based location algorithm
Parastatidis Emmanouil, Pytharouli Stella, Stankovic Lina, Stankovic Vladimir, Shi Peidong
EGU General Assembly 2021, pp. 15664 (2021)
Individualised responsible Artificial Intelligence for home-based rehabilitation
Vourganas Ioannis, Stankovic Vladimir, Stankovic Lina
Sensors Vol 21 (2020)
Automatic detection and classification of microseismic events from Super-Sauze landslide using convolutional neural networks
Jiang Jiaxin, Stankovic Lina, Stankovic Vladimir, Pytharouli Stella
AGU Fall Meeting 2020 (2020)

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
  • Health monitoring
  • Multimedia signal processing
  • Micro-seismic signal analysis
  • Explainable AI

Professional activities

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
PGCon: Edinburgh Postgraduate Conference
External Examiner for PhD Thesis in University of Sydney
IEEE International Conference on Visual Communications and Image Processing
Member of programme committee
Habilitation Examination at Inria, Rennes
External Examiner

More professional activities


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 - 30-Jan-2023
Eco-Bot: Personalised ICT-tools for the Active Engagement of Consumers Towards Sustainable Energy
Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Murray, David (Researcher)
01-Jan-2017 - 31-Jan-2020
EPSRC Global Challenges Research Fund Institutional Sponsorship Award 2017 (GCRF) / R171051-102
Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator)
01-Jan-2017 - 31-Jan-2018

More projects


Electronic and Electrical Engineering
Royal College Building

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