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

Target detection and recognition of ground penetrating radar using morphological image analysis and graph laplacian regularisation: Dong Jun, Stankovic Vladimir, Davidson Nigel; International Conference in Sensor Signal Processing for Defence (2021)
Graph filter design for distributed network processing : a comparison between adaptive algorithms: Alinaghi Atiyeh, Weiss Stephan, Stankovic Vladimir, Proudler Ian; International Conference in Sensor Signal Processing for Defence (2021)
Undirected graphs : is the shift-enabled condition trivial or necessary?: Chen Liyan, Cheng Samuel, He Kanghang, Stankovic Vladimir, Stankovic Lina; IEEE Access (2021)
Minimising the computational time of a waveform based location algorithm: Parastatidis Emmanouil, Pytharouli Stella, Stankovic Lina, Stankovic Vladimir, Shi Peidong; EGU General Assembly 2021, pp. 15664 (2021); https://doi.org/10.5194/egusphere-egu21-15664
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)

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

Boxing Training Machine: Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator); 05-Jan-2021 - 30-Jan-2021
building GrEener and more sustainable soCieties by filling the Knowledge gap in social science and engineering responsible artificial intelligence co-creatiOn (GECKO) MSCA-ITN-2020: Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator); 01-Jan-2021 - 31-Jan-2024
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); Prosperity Partnership: Predictive pumping; 01-Jan-2018 - 31-Jan-2023
Signal Processing in the Information Age (UDRC III): Weiss, Stephan (Principal Investigator) Stankovic, Vladimir (Co-investigator); UDRC III: Signal Processing in the Information Age; 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

More projects

Address

Electronic and Electrical Engineering
Royal College Building

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