Dr Lina Stankovic

Senior Lecturer

Electronic and Electrical Engineering

Personal statement

My research expertise is in Signal information Processing and Data Science, with focus on developing and applying time-series, signal information processing and machine learning tools to make sense of raw sensor data. This includes signal and data representation, processing, analysis, communications and management. My research is aligned with the University strategic research themes of Energy, Health & Well-Being and Measurement Science and Enabling Technologies.

I am also 1st year advisor of studies for the Computer and Electronic Systems degree at Strathclyde.

Expertise

Has expertise in:

Communications and Signal information processing, as applied to:

Energy and environment in smart buildings, e.g., load monitoring, load profiling and disaggregation, activity recognition
Motion capture and person-centric kinematrics analysis using portable depth and infrared camera systems
Micro-seismic event detection and analytics
Wireless sensor network solutions for civil infrastructure, such as predicting failure in earthworks (embankments and cuttings) and bridge/scour monitoring
Water consumption, treatment and infrastructure monitoring

Prizes and awards

Finalist of the World first 10K Best paper Award (Top 3%): Recipient; 12/7/2017
Paper awarded top 5% by reviewers in Eusipco-2010 conference and invited for journal publication.: Recipient; 8/2010

more prizes and awards

Qualifications

Senior Member of the IEEE
Associate Editor IEEE Transactions on Signal Information Processing over Networks
UK Engineering and Physical Sciences Research Council (EPSRC) Peer Review college Member
European Science Foundation (ESF) College of Expert Reviewers Member

Publications

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)
Can non-intrusive load monitoring be used for identifying an appliance's anomalous behaviour?: Rashid Haroon, Singh Pushpendra, Stankovic Vladimir, Stankovic Lina; Applied Energy, pp. 1-32 (2019)
Automation enhancement and accuracy investigation of a portable single-camera gait analysis system: Yang C, Ugbolue U C, McNicol D, Stankovic V, Stankovic L, Kerr A, Carse B, Kaliarntas K T, Rowe P J; IET Science, Measurement and Technology, pp. 1-9 (2019); https://doi.org/10.1049/iet-smt.2018.5246
Shift-enabled graphs : graphs where shift-invariant filters are representable as polynomials of shift operations: Chen Liyan, Cheng Samuel, Stankovic Vladimir, Stankovic Lina; IEEE Signal Processing Letters Vol 25, pp. 1305-1309 (2018); https://doi.org/10.1109/LSP.2018.2849685
Improving event-based non-intrusive load monitoring using graph signal processing: Zhao Bochao, He Kanghang, Stankovic Lina, Stankovic Vladimir; IEEE Access, pp. 1-15 (2018); https://doi.org/10.1109/ACCESS.2018.2871343

more publications

Teaching

Current classes:

1st year Engineering Design for Software Development inc. Python programming

4th/5th year Information Transmission and Security, inc. Digital communications principles, channel coding

Research interests

Graphical-based inference
Graphical modelling of variables with probabilistic relationships
Model-fitting/system characterisation
Predicting energy demand at appliance level
Sensor deployment and data acquisition

Professional activities

IEEE Transactions on Signal and Information Processing over Networks (Journal): Editorial board member; 2018
Unlocking the potential of smart meter data via energy analytics: Invited speaker; 3/6/2018
Carnegie Trust for the Universities of Scotland (External organisation): Advisor; 2/2018
European Science Foundation (External organisation): Advisor; 19/12/2018
4th International Workshop on Non-Intrusive Load Monitoring (Event): Advisor; 1/2018
IEEE 2017 Workshop on Multimedia Signal Processing: Member of programme committee; 16/10/2017

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
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
Smart Building Energy Management System (BEMS): Stankovic, Lina (Principal Investigator); Market study and prototyping of data analytical tools that could be beneficial to utilities for improving their customer experience; 01-Jan-2013 - 30-Jan-2015
Monitoring ozone treatment technology: Stankovic, Lina (Principal Investigator) Andonovic, Ivan (Co-investigator) Stankovic, Vladimir (Co-investigator); 13-Jan-2013 - 31-Jan-2014

more projects

Address

Electronic and Electrical Engineering
Royal College Building

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