Professor Vladimir Stankovic

Electronic and Electrical Engineering

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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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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

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
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Publications

Human in the loop active learning for time-series electrical measurement data
Sobot Tamara, Stankovic Vladimir, Stankovic Lina
Engineering Applications of Artificial Intelligence Vol 133 (2024)
https://doi.org/10.1016/j.engappai.2024.108589
Explainable deep learning models for smart meter data
Thurakit Pairote, Stankovic Vladimir
2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC) (2024)
https://doi.org/10.1109/appeec57400.2023.10562025
A complex mixed-methods data-driven energy-centric evaluation of net-positive households
Vavouris Apostolos, Guasselli Fernanda, Stankovic Lina, Stankovic Vladimir, Gram-Hanssen Kirsten, Didierjean Sébastien
Applied Energy Vol 367 (2024)
https://doi.org/10.1016/j.apenergy.2024.123404
Smart energy technologies for the collective : time-shifting, demand reduction and household practices in a Positive Energy Neighbourhood in Norway
Guasselli Fernanda, Vavouris Apostolos, Stankovic Lina, Stankovic Vladimir, Didierjean Sébastien, Gram-Hanssen Kirsten
Energy Research and Social Science Vol 110 (2024)
https://doi.org/10.1016/j.erss.2024.103436
The Plegma dataset : domestic appliance-level and aggregate electricity demand with metadata from Greece
Athanasoulias Sotirios, Guasselli Fernanda, Doulamis Nikolaos, Doulamis Anastasios, Ipiotis Nikos, Katsari Athina, Stankovic Lina, Stankovic Vladimir
Scientific Data Vol 11 (2024)
https://doi.org/10.1038/s41597-024-03208-0
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 (2024)
https://doi.org/10.3233/ICA-240738

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

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
Revolutionising Dairy with Digital Innovation
Contributor
23/1/2024
Integration of Drivers’ Routines into Lifecycle Assessment of Electric Vehicles
Contributor
21/6/2023
Benefits of Three-Phase Metering for Load Disaggregation
Contributor
11/11/2022

More professional activities

Projects

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 (Principal Investigator)
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
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: 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 - 30-Jan-2024
Digital Dairy Chain Innovation Voucher: Project Luce - Efficient Load Scheduling for dairy farms with renewable energy provision
Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher)
Provide optimised load scheduling to maximise on-site renewable (solar/wind) self-consumption & explore the viability/feasibility of creating a micro farm grid that will link different premises (dairies/piggeries).
18-Jan-2024 - 30-Jan-2024
Picture-IT: Co-creation of an android based app to support neurotypical and neurodiverse pupils in school with their learning
Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator)
01-Jan-2024 - 30-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