Dr Vladimir Stankovic

Reader

Electronic and Electrical Engineering

Personal statement

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 explainable AI-driven environmentally-oriented information and communication technology (ICT): from low-power acquisition, processing, and communications, to application-driven data analysis.

Expertise

Has expertise in:

Multimedia processing and communications
Signal/image processing
Explainable AI
Graph signal processing
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 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-)
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

Individualised responsible Artificial Intelligence for home-based rehabilitation: Vourganas Ioannis, Stankovic Vladimir, Stankovic Lina; Sensors Vol 21 (2020); https://doi.org/10.3390/s21010002
Automatic detection and classification of microseismic events from Super-Sauze landslide using convolutional neural networks: Jiang Jiaxin, Stankovic Lina, Stankovic Vladimir, Pytharouli Stella; AGU Fall Meeting 2020 (2020)
Narrowband angle of arrival estimation exploiting graph topology and graph signals: Proudler Ian K, Stankovic Vladimir, Weiss Stephan; 2020 Sensor Signal Processing for Defence Conference (SSPD) International Conference on Sensor Signal Processing for Defence (2020); https://doi.org/10.1109/SSPD47486.2020.9272170
Building a graph signal processing model using dynamic time warping for load disaggregation: He Kanghang, Stankovic Vladimir, Stankovic Lina; Sensors Vol 20 (2020); https://doi.org/10.3390/s20226628
Evaluation of low-complexity supervised and unsupervised NILM methods and pre-processing for detection of multistate white goods: Khazaei Mohammad, Stankovic Lina, Stankovic Vladimir; 5th International Workshop on Non Intrusive Load Monitoring (2020)
Explainable NILM Networks: Murray David, Stankovic Lina, Stankovic Vladimir; 5th International Workshop on Non Intrusive Load Monitoring (2020)

More publications

Teaching

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

Research interests

Signal and information processing as applied to

Smart homes/buildings
Health monitoring
Multimedia signal processing
Micro-seismic signal analysis
Explainable AI

Professional activities

Appliance Usage Detection from Smart Meter Data Using Supervised and Unsupervised Non-Intrusive Load Monitoring: Contributor; 26/5/2020
IEEE Transactions on Circuits and Systems for Video Technology (Journal): Editorial board member; 1/1/2020
PGCon: Edinburgh Postgraduate Conference: Participant; 15/10/2019
External Examiner for PhD Thesis in University of Sydney: Examiner; 1/1/2019
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

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) Fan, Ding (Researcher) Parastatidis, Emmanouil (Researcher) Rizzuto, Francesco (Researcher) Xi, Xun (Researcher); 01-Jan-2018 - 31-Jan-2023
Signal Processing in the Information Age (UDRC III): Weiss, Stephan (Principal Investigator) Stankovic, Vladimir (Co-investigator); 01-Jan-2018 - 30-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

More projects

Address

Electronic and Electrical Engineering
Royal College Building

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