Dr Vladimir Stankovic

Reader

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.

Expertise

Has expertise in:

Wireless communications systems
Multimedia processing and communications
Signal/image processing
Information theory
Source-channel-network coding
Energy disaggregation
Motion analysis

Prizes and awards

IEEE Multimedia Signal Processing Workshop (MMSP) top 10% best paper award 2010: Recipient; 10/2010

more prizes and awards

Publications

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)
Post-processing for event-based non-intrusive load monitoring: He Kanghang, Jakovetic Dusan, Stankovic Vladimir, Stankovic Lina; 4th International Workshop on Non-Intrusive Load Monitoring, pp. 1-4, (2018)
Electricity usage profile disaggregation of hourly smart meter data: Zhao Bochao, Stankovic Lina, Stankovic Vladimir; 4th International Workshop on Non-Intrusive Load Monitoring, (2018)
Appliance electrical consumption modelling at scale using smart meter data: Murray D.M., Stankovic L., Stankovic V., Espinoza-Orias N.D.; Journal of Cleaner Production, (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); http://dx.doi.org/10.1109/MMSP.2017.8122264
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); http://dx.doi.org/10.1109/ICME.2017.8019500

more publications

Teaching

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: 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); 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); 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

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