Professor Vladimir Stankovic

Electronic and Electrical Engineering

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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.

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Prize And Awards

Strategic Themes Research and Knowledge Exchange Impact Prize: Centre for Intelligent Dynamic Communications (CIDCOM) Team
Recipient
25/8/2025
Dumfries and Galloway Chamber of Commerce Net Zero Award
Recipient
6/6/2025
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
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Publications

Modelling greenhouse gas emissions from dairy farms through unsupervised learning
MacKenzie Jack, Stankovic Vladimir, Stankovic Lina, Kuhnert Matthias
AIBIO-UK 3rd Annual Conference 2026, pp. 15 (2026)
Motivating the need for automated load scheduling for dairy farms with on site renewable generation
Callaghan John, Stankovic Lina, Stankovic Vladimir
AIBIO-UK 3rd Annual Conference 2026, pp. 9 (2026)
ChargeDEM : geodemographic aware EV charging infrastructure placement for enhanced site selection using graph neural networks
Batic Djordje, Stankovic Vladimir, Stankovic Lina
Proceedings of the 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL’24) Springer Proceedings in Energy (2026)
Uncovering hidden demand flexibility using non-intrusive load monitoring (NILM) : a case for Southern Africa – Namibia
Mollel Rachel Stephen, Elombo Andreas, Stankovic Lina, Stankovic Vladimir, Hambata Jona, Thiel Gunther
Proceedings of the 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting 12th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL’24) Springer Proceedings in Energy (2026)
Enhancement of hydrological time series prediction with Real-World Time Series Generative Adversarial Network-based synthetic data and deep learning models
Dodig Ana, Stankovic Vladimir, Stankovic Lina, Stojkovic Milan
Environmental Modelling and Software Vol 204 (2026)
https://doi.org/10.1016/j.envsoft.2026.107037
Physics-guided GRU model for stable multi-horizon displacement forecasting
Parasyris Apostolos, Stankovic Lina, Stankovic Vladimir
IEEE 7th International Conference in Electronic Engineering & Information Technology 2026 (2026)

More publications

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Teaching

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

Demand Flexibility and Decarbonisation: From Homes to Farms and Train Stations
Speaker
3/6/2026
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

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
JED-AIs: Justice, Energy, Demand flexibility and AI for Sustainability (UKRI Cross Research Council Resp Mode)
Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator)
01-Jan-2025 - 31-Jan-2026
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
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 - 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

More projects

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Contact

Professor Vladimir Stankovic
Electronic and Electrical Engineering

Email: vladimir.stankovic@strath.ac.uk
Tel: 548 2679