Dr Vladimir Stankovic

Professor

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.

Expertise

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%): Recipient; 12/7/2017
IEEE Multimedia Signal Processing Workshop (MMSP) top 10% best paper award 2010: Recipient; 10/2010

More prizes and awards

Qualifications

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

Publications

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); https://doi.org/10.17868/strath.00085576
Explainability-informed feature selection and performance prediction for nonintrusive load monitoring: Mollel Rachel Stephen, Stankovic Lina, Stankovic Vladimir; Sensors Vol 23 (2023); https://doi.org/10.3390/s23104845
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); https://doi.org/10.1201/9781003348030-341
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); https://doi.org/10.1109/ICASSP49357.2023.10095109
Semi-supervised seismic event detection using Siamese Networks: Murray David, Stankovic Lina, Pytharouli Stella, Stankovic Vladimir; EGU General Assembly 2023 (2023)

More publications

Teaching

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; 1/1/2022
EURASIP Awards Committee (External organisation): Advisor; 2022
IEEE Transactions on Communications (Journal): Peer reviewer; 9/2021
IEEE Transactions on Communications (Journal): Peer reviewer; 1/9/2021
Appliance Usage Detection from Smart Meter Data Using Supervised and Unsupervised Non-Intrusive Load Monitoring: Contributor; 26/5/2020
IEEE Transactions on Circuits and Systems for Video Technology (Journal): Editorial board member; 1/1/2020

More professional activities

Projects

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

Address

Electronic and Electrical Engineering
Royal College

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