Dr Vladimir Stankovic
Professor
Electronic and Electrical Engineering
Personal statement
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.
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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
Area of Expertise
- Hybrid intelligence
- Energy disaggregation
- Seismic signal analysis
- Interpretable machine learning
- Graph signal processing
- Motion analysis
- Multimedia processing and communications
Prize 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
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Towards transparent load disaggregation – a framework for quantitative evaluation of explainability using explainable AI Batic Djordje, Stankovic Vladimir, Stankovic Lina IEEE Transactions on Consumer Electronics (2023) https://doi.org/10.1109/TCE.2023.3300530 An active learning framework for the low-frequency Non-Intrusive Load Monitoring problem Todic Tamara, Stankovic Vladimir, Stankovic Lina Applied Energy Vol 341 (2023) https://doi.org/10.1016/j.apenergy.2023.121078 Integration of drivers' routines into lifecycle assessment of electric vehicles Vavouris Apostolos, Stankovic Lina, Stankovic Vladimir 8th International Electric Vehicle Conference (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 Vol 20, pp. 1-5 (2023) https://doi.org/10.1109/LGRS.2023.3279068 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 Synthetic data generation for Deep Learning-based Inversion for Velocity Model Building Parasyris Apostolos, Stankovic Lina, Stankovic Vladimir Remote Sensing Vol 15 (2023) https://doi.org/10.3390/rs15112901
Publications
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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 EURASIP Awards Committee (External organisation) Member 2020
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-2024 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
Research Interests
Signal and information processing as applied to
- Smart homes/buildings
- Micro-seismic signal analysis
- Health monitoring
- Remote sensing
- Computer Vision
Professional Activities
Projects
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Contact
Dr
Vladimir
Stankovic
Professor
Electronic and Electrical Engineering
Email: vladimir.stankovic@strath.ac.uk
Tel: 548 2679