Professor Vladimir Stankovic

Electronic and Electrical Engineering

Personal statement

My research is focused on signal and information processing to address a range of global challenges related to climate change and sustainable development goals, including energy efficiency and energy end-use in residential and non-residential sector, fair and just net-zero transition, electrification of transport, demand flexibility, sustainable farming, and landslide monitoring.

Expertise

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Area of Expertise

Signal and information processing
Energy disaggregation
Seismic signal analysis
Hybrid intelligence
Interpretable machine learning
Graph signal processing
Motion analysis
Multimedia processing and communications

Prize 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 (2021-2024)
Associate Editor-in-Chief for IEEE Circuits and Systems for Video Technology (2021-2023)
Associate Editor for Nature Scientific Data
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

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Publications

Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network: Dong Jun, Ling Runjianya, Huang Zhenxing, Xu Yidan, Wang Haiyan, Chen Zixiang, Huang Meiyong, Stankovic Vladimir, Zhang Jiayin, Hu Zhanli; Journal of X-Ray Science and Technology (2025); https://doi.org/10.1177/08953996251317412
XNILMBoost : explainability-informed load disaggregation training enhancement using attribution priors: Batic Djordje, Stankovic Vladimir, Stankovic Lina; Engineering Applications of Artificial Intelligence Vol 141 (2025); https://doi.org/10.1016/j.engappai.2024.109766
A weakly supervised active learning framework for non-intrusive load monitoring: Tanoni Giulia, Sobot Tamara, Principi Emanuele, Stankovic Vladimir, Stankovic Lina, Squartini Stefano; Integrated Computer-Aided Engineering Vol 32, pp. 39-56 (2025); https://doi.org/10.3233/ICA-240738
Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning: Murray David, Stankovic Lina, Stankovic Vladimir, Pytharouli Stella, White Adrian, Dashwood Ben, Chambers Jonathan; Scientific Reports Vol 15 (2025); https://doi.org/10.1038/s41598-024-84067-y
A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model: Jiang Jiaxin, Murray David, Stankovic Vladimir, Stankovic Lina, Hibert Clement, Pytharouli Stella, Malet Jean-Philippe; Science of Remote Sensing Vol 11 (2025); https://doi.org/10.1016/j.srs.2024.100189
A temporal-spatial graph network with a learnable adjacency matrix for appliance-level electricity consumption prediction: Li Dandan, Xia Jiaxing, Li Jiangfeng, Xiao Changjiang, Stankovic Vladimir, Stankovic Lina, Shi Quingjiang; IEEE Transactions on Artificial Intelligence (2024)

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Teaching

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Teaching

Image/video processing
Analogue and digital communication systems
Signals and systems
Information theory

Research

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Research Interests

Signal and information processing as applied to

Smart homes/buildings
Micro-seismic signal analysis
Health monitoring
Remote sensing
Computer Vision

Professional Activities

International Joint Conference on Neural Networks 2025: Organiser; 30/6/2025
Inter-disciplinary co-creation in JED-AI project: Speaker; 14/11/2024
JED-AI Collaboration with Energy Systems Catapult: Participant; 9/2024
User-centric insights from low-frequency smart meter data analysis towards flexibility potential: Presenter; 8/5/2024
Efficient load scheduling for dairy farms with renewable energy provision: Speaker; 1/5/2024
Cow in the loop: Contributor; 30/4/2024

More professional activities

Projects

REMINDA: Revolutionising Energy Monitoring in Non-Domestic Buildings with A.I: Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator); 01-Jan-2024 - 31-Jan-2025
JED-AIs: Justice, Energy, Demand flexibility and AI for Sustainability (UKRI Cross Research Council Resp Mode): Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator); 26-Jan-2024 - 25-Jan-2026
Digital Dairy Chain Innovation Voucher: Project Drum - Beckside farm energy balancing and surplus exporting potential under a community led scheme: Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator) Vavouris, Apostolos (Researcher); In this project the optimal exploitation of the renewable energy surplus (solar/hydro) in dairy farms will be explored together with possibilities for load shifting in order to optimise the energy self-consumption. The exploitation of the available land and roof space for the installation of additional renewables to further increase the passive cash flows of the farm will also be explored, as well as investments in energy storage and diversifying clean energy production to inform further studies on community energy sharing and business models development for energy sharing.; 27-Jan-2024 - 31-Jan-2024
Digital Dairy Chain Innovation Voucher: Project Drum - Orton Grange farm energy management in a dairy farm with a highly diversified portfolio and RES surplus exporting potential under a community led scheme: Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher); The goal of this project is to perform an analysis on the renewable energy exporting potential from renewable energy sources including solar PV and wind, against the demands of a housed energy intensive pedigree dairy farm milking using a traditional herringbone parlour with a number of diversified businesses including a café, food hall, swimming pool and other retail activities. Through this analysis, energy availability and feasibility of exploiting the energy surplus will be explored in order to inform business models of community energy sharing, battery storage and export, EV charging etc.; 27-Jan-2024 - 31-Jan-2024
Digital Dairy Chain Innovation Voucher: Project Drum - How End Farm, community led RES surplus energy export potential and methane/gas production for self-consumption/export: Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher); The goal of this project is to perform an analysis on the renewable energy exporting potential (wind/solar/anaerobic digester) in order to inform business case models that will explore community energy sharing schemes, battery storage and export, EV charging etc.; 27-Jan-2024 - 31-Jan-2024
Digital Dairy Chain Innovation Voucher: Littleton Farm - Exploring diverse renewables portfolio to accelerate net-zero transition: Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator) Vavouris, Apostolos (Researcher) Sobot, Tamara (Researcher); The goal of this project is to significantly improve energy efficiency of dairy farms with local energy generation by understanding energy demand on the farm and demand flexibilities and provide a set of recommendations such as load shifting, change of practices or processes, upgrade/retrofit or new investments. The methodology will be built leveraging knowledge gained from two dairy farms in the Luce Bay area that are of different scale (small scale ~300 cows to medium-large scale ~1100 cows) with different milking equipment (parallel/rotary parlours), different renewable on-site generation sources including solar and wind power, and hence very different energy demand.; 18-Jan-2024 - 31-Jan-2025