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Dr Vladimir Stankovic


Electronic and Electrical Engineering

Personal statement

The goal of my research is to open novel scientific horizons by bringing together communications, multimedia, signal processing, machine learning, and energy via problem-solving research and through advanced user-centric design approaches.

My research broadly consists of developing novel theoretical foundations, algorithmic and system design solutions, as well as practical demonstrations for efficient acquisition, processing and communications of data. The work ranges from core signal/image processing, information and communication theory and machine learning research necessary for establishing performance limits and developing algorithms to practical system designs through implementation, visualization and user-centric design methods. I am particularly interested in energy-aware and environmentally-oriented information and communication technology (ICT): from low-power acquisition, processing, and communications, to application-driven data analysis for healthcare monitoring and smart homes/buildings.


Linear state estimation via 5G C-RAN cellular networks using Gaussian belief propagation
Cosovic Mirsad, Vukobratovic Dejan, Stankovic Vladimir
IEEE Wireless Communications and Networking Conference, (2018)
Graph-based clustering for identifying region of interest in eye tracker data analysis
He Kanghang, Yang Cheng, Stankovic Vladimir, Stankovic Lina
2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), (2017)
Gait phase classification for in-home gait assessment
Ye Minxiang, Yang Cheng, Stankovic Vladimir, Stankovic Lina, Cheng Samuel
IEEE International Conference on Multimedia and Expo, pp. 1-6, (2017)
Estimating heart rate and rhythm via 3D motion tracking in depth video
Yang Cheng, Cheung Gene, Stankovic Vladimir
IEEE Transactions on Multimedia Vol 19, pp. 1625-1636, (2017)
Sleep apnea detection via depth video and audio feature learning
Yang Cheng, Cheung Gene, Stankovic Vladimir, Chan Kevin, Ono Nobutaka
IEEE Transactions on Multimedia Vol 19, pp. 822-835, (2017)
An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study
Murray David, Stankovic Lina, Stankovic Vladimir
Scientific Data Vol 4, pp. 1-12, (2017)

more publications


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

Research interests

Signal-information processing and communications as applied to

  • Smart homes/buildings
  • Health monitoring
  • Multimedia signal processing
  • Smart grid communications

Professional activities

IEEE 2017 Workshop on Multimedia Signal Processing
19th IEEE International Workshop on Multimedia Signal Processing
IEEE International Conference on Multimedia and Expo
PhD examination: University of Southampton
External Examiner
PhD examination: University of Bristol
External Examiner
Signal Processing: Image Communication (Journal)

more professional activities


EPSRC Global Challenges Research Fund Institutional Sponsorship Award 2017 (GCRF) / R171051-102
Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator)
Period 01-Jul-2017 - 31-Mar-2018
Real-Time Simulation of Construction Projects through Hybrid Application of Building Information Modelling and Image Processing
Pour Rahimian Leilabadi, Farzad (Principal Investigator) Stankovic, Vladimir (Principal Investigator) Agapiou, Andrew (Principal Investigator)
Period 01-Jan-2017 - 31-Mar-2017
Eco-Bot: Personalised ICT-tools for the Active Engagement of Consumers Towards Sustainable Energy
Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator)
Period 01-Oct-2017 - 31-Dec-2020
SENSors and Intelligence in BuiLt Environment (SENSIBLE) MSCA RISE
Stankovic, Lina (Principal Investigator) Glesk, Ivan (Co-investigator) Gleskova, Helena (Co-investigator) Stankovic, Vladimir (Co-investigator)
Period 01-Jan-2017 - 31-Dec-2020
Medical Devices Doctoral Training Centre Renewal | Smith, Nicholas
Riches, Philip (Principal Investigator) Stankovic, Vladimir (Co-investigator) Smith, Nicholas (Research Co-investigator)
Period 01-Oct-2011 - 14-Sep-2016
BTG: Development of a visually immersive gait training system for use in the walking rehabilitation of stroke survivors combining the scientific disciplines of biomechanics and motor learning
Kerr, Andrew (Academic) Grealy, Madeleine (Academic) Stankovic, Vladimir (Academic) Childs, Craig (Academic) Rowe, Philip (Academic)
The installation of a CAREN (computer assisted rehabilitation environment) system within the Biomedical Engineering department offers the opportunity to develop specific rehabilitation applications for commercial exploitation and clinical research. Stroke survivors are one of the biggest users of rehabilitation services with around 1.1 million survivors in the UK. Walking is a high priority for this population but most do not recover independent walking. This project aims to combine expertise across the University along with a users’ panel of stroke survivors to co-produce a prototype gait training application ready for marketing, through an existing commercial partner, and suitable for clinical research.
Period 03-Mar-2014 - 31-Dec-2014

more projects


Electronic and Electrical Engineering
Royal College Building

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