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

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:

Senior Member of IEEE
Associate Editor for IEEE Transactions on Image Processing (2012-2017)
Editor at Large for IEEE Transactions on Communications (2011-)
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

Publications

A generic optimisation-based approach for improving non-intrusive load monitoring: He Kanghang, Jakovetic Dusan, Zhao Bochao, Stankovic Vladimir, Stankovic Lina, Cheng Samuel; IEEE Transactions on Smart Grid (2019); https://doi.org/10.1109/TSG.2019.2906012
Can non-intrusive load monitoring be used for identifying an appliance's anomalous behaviour?: Rashid Haroon, Singh Pushpendra, Stankovic Vladimir, Stankovic Lina; Applied Energy Vol 238, pp. 796-805 (2019); https://doi.org/10.1016/j.apenergy.2019.01.061
Effect of external daylight in smart dimmable LED lighting systems: Petkovic Milica, Bajovic Dragana, Vukobratovic Dejan, McCutcheon Graeme, Stankovic Lina, Stankovic Vladimir; Wireless and Optical Communication Conference (2019)
A novel chaos-based partial image encryption scheme using Lifting Wavelet Transform: Ali Khan Fadia, Ahmed Jameel, Ahmad Jawad, Khan Jan Sher, Ahmad Fawad, Stankovic Vladimir, Larijani Hadi; The First International Nonlinear Dynamics Conference (2019)
Evaluation of non-intrusive load monitoring algorithms for appliance-level anomaly detection: Rashid Haroon, Stankovic Vladimir, Stankovic Lina, Singh Pushpendra; 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (2019)
Transferability of neural networks approaches for low-rate energy disaggregation: Murray David, Stankovic Lina, Stankovic Vladimir, Lulic Srdjan, Sladojevic Srdjan; 2019 International Conference on Acoustics, Speech, and Signal Processing (2019)

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 International Conference on Visual Communications and Image Processing: Member of programme committee; 12/2018
Habilitation Examination at Inria, Rennes: External Examiner; 26/11/2018
Graph Signal Processing Classification with Applications: Speaker; 26/11/2018
IEEE International Conference on Image Processing: Member of programme committee; 10/2018
External Examiner for PhD Thesis in Indian Institute of Technology, Kharagpur: External Examiner; 8/2018
Unlocking the potential of smart meter data via energy analytics: Invited speaker; 3/6/2018

more professional activities

Projects

Smart pumping for Subsurface Engineering (Prosperity Partnership): Shipton, Zoe (Principal Investigator) Corney, Jonathan (Co-investigator) Dempster, William (Co-investigator) Perry, Marcus (Co-investigator) Pytharouli, Stella (Co-investigator) Stankovic, Lina (Co-investigator) Stankovic, Vladimir (Co-investigator) Yang, Shangtong (Co-investigator); 01-Jan-2018 - 31-Jan-2023
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); 01-Jan-2017 - 31-Jan-2020
EPSRC Global Challenges Research Fund Institutional Sponsorship Award 2017 (GCRF) / R171051-102: Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator); 01-Jan-2017 - 31-Jan-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); 01-Jan-2017 - 31-Jan-2017
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); 01-Jan-2017 - 31-Jan-2020
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, Andy (Academic) Grealy, Madeleine (Academic) Stankovic, Vladimir (Academic) Murphy, Andrew James (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.; 03-Jan-2014 - 31-Jan-2014

more projects

Address

Electronic and Electrical Engineering
Royal College Building

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