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

Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge: Batic Djordje, Tanoni Giulia, Principi Emanuele, Stankovic Lina, Stankovic Vladimir, Squartini Stefano; Expert Systems with Applications Vol 294 (2025); https://doi.org/10.1016/j.eswa.2025.128837
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
Geodemographic aware electric vehicle charging location planning for equitable placement using graph neural networks : case study of Scotland metropolitan areas: Batic Djordje, Stankovic Vladimir, Stankovic Lina; Energy Vol 324 (2025); https://doi.org/10.1016/j.energy.2025.135834
Semi-supervised graph-based non-intrusive load monitoring method combining transformer and graph Laplacian smoothing: Dong Jun, Zheng Jinming, Stankovic Lina, Stankovic Vladimir; 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2) 8th IEEE Conference on Energy Internet and Energy System Integration, pp. 209-213 (2025); https://doi.org/10.1109/EI264398.2024.10991553
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 Vol 33, pp. 578-590 (2025); https://doi.org/10.1177/08953996251317412
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 Vol 6, pp. 989-1002 (2025); https://doi.org/10.1109/TAI.2024.3507734

More publications

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
Empowering tenants, Enhancing Lives: Housing associations and the future of energy advice: Invited speaker; 26/6/2025
2025 Teaching Away Day: Speaker; 11/6/2025
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

More professional activities

Projects

Digital Dairy Chain Innovation Voucher: An AI data-driven reporting dashboard for the dairy sector: Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher); This project will develop a cost-effective (by leveraging on bespoke open-source agri software) AI-powered energy analytics dashboard designed for dairy farms, integrating real-time and historical energy data to provide automated insights into consumption, renewable generation, and cost/carbon-savings opportunities. By leveraging machine learning, the system will identify inefficiencies, predict energy demand, and recommend optimisation strategies to reduce costs and carbon footprint. The dashboard will process data from smart meters, IoT devices, and renewables, offering actionable insights through a user-friendly interface. Farm owners will receive data-driven recommendations to maximise renewable energy use, optimise time of use, and enhance overall efficiency. Further to that, the dashboard will support recommendations for installing energy saving technologies, altering processes or equipment to save energy and reduce their carbon impact. This innovative solution aims to streamline energy management in dairy farming, supporting sustainability and financial savings through AI-driven decision-making.; 01-Jan-2025 - 30-Jan-2025
Picture-IT Create: Generative AI to support Diverse Learning Environments: Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Batic, Dorde (Researcher); 01-Jan-2024 - 31-Jan-2025
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 - 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: 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