Dr Vladimir Stankovic

Reader

Electronic and Electrical Engineering

Personal statement

I have been focusing on 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.

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

Transfer learning for multi-objective non-intrusive load monitoring in smart building: Li Dandan, Li Jiangfeng, Zeng Xin, Stankovic Vladimir, Stankovic Lina, Xiao Changjiang, Shi Qingjiang; Applied Energy Vol 329 (2023); https://doi.org/10.1016/j.apenergy.2022.120223
Near surface full waveform inversion via deep learning for subsurface imaging: Parasyris A, Stankovic L, Pytharouli S, Stankovic V; World Tunnel Congress 2023 (2022)
Graph-based feature weight optimisation and classification of continuous seismic sensor array recordings: Li J, Stankovic L, Stankovic Vladimir, Pytharouli S, Yang C, Shi Q; Sensors Vol 23 (2022); https://doi.org/10.3390/s23010243
How likely is a random network graph shift-enabled?: Chen Liyan, Cheng Samuel, Stankovic Vladimir, Stankovic Lina, Shi Qingjiang; IEEE Transactions on Signal and Information Processing over Networks Vol 8, pp. 973-982 (2022); https://doi.org/10.1109/TSIPN.2022.3216099
Using explainability tools to inform NILM algorithm performance : a decision tree approach: Mollel Rachel Stephen, Stankovic Lina, Stankovic Vladimir; Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation BuildSys'22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation BuildSys '22, pp. 368-372 (2022); https://doi.org/10.1145/3563357.3566148
Benefits of three-phase metering for load disaggregation: Vavouris Apostolos, Stankovic Lina, Stankovic Vladimir, Shi Jiufeng; Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation BuildSys '22, pp. 393-397 (2022); https://doi.org/10.1145/3563357.3566149

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

Professional activities

EURASIP Awards Committee (External organisation): Advisor; 2022
IEEE Transactions on Circuits and Systems for Video Technology (Journal): Peer reviewer; 1/1/2022
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

Location Map

View University of Strathclyde in a larger map