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.
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
- Organiser
- 16/10/2017
- 19th IEEE International Workshop on Multimedia Signal Processing
- Chair
- 16/10/2017
- IEEE International Conference on Multimedia and Expo
- Organiser
- 13/7/2017
- PhD examination: University of Southampton
- External Examiner
- 2/2016
- PhD examination: University of Bristol
- External Examiner
- 12/2015
- Signal Processing: Image Communication (Journal)
- Editor
- 1/11/2015
more professional activities
Projects
- 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)
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- 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) Murray, David (Researcher)
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- 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)
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- Period 01-Jan-2017 - 31-Dec-2020
- Medical Devices Doctoral Training Centre Renewal | Smith, Nicholas
- Riches, Philip (Principal Investigator) Stankovic, Vladimir (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
Address
Electronic and Electrical Engineering
Royal College Building
Royal College Building
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