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


Human activity recognition of individuals with lower limb amputation in free-living conditions : a pilot study
Jamieson Alexander, Murray Laura, Stankovic Lina, Stankovic Vladimir, Buis Arjan
Sensors Vol 21 (2021)
Transparent AI : explainability of deep learning based load disaggregation
Murray David, Stankovic Lina, Stankovic Vladimir
The 1st ACM SIGEnergy Workshop of Fair, Accountable, Transparent, and Ethical AI for Smart Environments and Energy Systems, pp. 268-271 (2021)
Non-intrusive load monitoring for multi-objects in smart building
Li Dandan, Li Jiangfeng, Zeng Xin, Stankovic Vladimir, Stankovic Lina, Shi Qingjiang
Fourth International Balkan Conference on Communications and Networking (2021)
Graph filter design for distributed network processing : a comparison between adaptive algorithms
Alinaghi Atiyeh, Weiss Stephan, Stankovic Vladimir, Proudler Ian
2021 Sensor Signal Processing for Defence Conference (SSPD) International Conference in Sensor Signal Processing for Defence (2021)
Model selection-inspired coefficients optimization for polynomial-kernel graph learning
Yang Cheng, Wang Fen, Ye Minxiang, Zhai Guangtao, Zhang Xiao-Ping, Stankovic Vladimir, Stankovic Lina
13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (2021)
Feature selection and extraction in sequence labeling for arrhythmia detection
Ye Minxiang, Stankovic Vladimir, Stankovic Lina, Lulic Srdjan, Anderla Andras, Sladojevic Srdjan
Fourth International Balkan Conference on Communications and Networking (2021)

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

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
EURASIP Awards Committee (External organisation)
PGCon: Edinburgh Postgraduate Conference
External Examiner for PhD Thesis in University of Sydney

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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