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

Distinct feature extraction for video-based gait phase classification
Ye Minxiang, Yang Cheng, Stankovic Vladimir, Stankovic Lina, Cheng Samuel
IEEE Transactions on Multimedia (2019)
https://doi.org/10.1109/TMM.2019.2942479
Factors that contribute to the use of stroke self-rehabilitation technologies : a review
Vourganas Ioannis, Stankovic Vladimir, Stankovic Lina, Kerr Andrew
JMIR Biomedical Engineering Vol 4 (2019)
https://doi.org/10.2196/13732
Flexible force sensors embedded in office chair for monitoring of sitting postures
Ishaku Amayikai A, Tranganidas Aris, Matúška Slavomír, Hudec Róbert, McCutcheon Graeme, Stankovic Lina, Gleskova Helena
IEEE International Conference on Flexible and Printable Sensors and Systems (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, Rowe P J
IET Science, Measurement and Technology Vol 13, pp. 563-571 (2019)
https://doi.org/10.1049/iet-smt.2018.5246
Distributed intelligent illumination control in the context of probabilistic graphical models
Cosovic M, Devaja T, Bajovic D, Machaj J, McCutcheon G, Stankovic V, Stankovic L, Vukobratovic D
4th International Conference on Smart and Sustainable Technologies 2019 (2019)
Deep graph regularized learning for binary classification
Ye Minxiang, Stankovic Vladimir, Stankovic Lina, Cheung Gene
2019 International Conference on Acoustics, Speech, and Signal Processing, pp. 3537-3541 (2019)
https://doi.org/10.1109/ICASSP.2019.8682725

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

European Science Foundation (External organisation)
Member
19/12/2018
Transferable low rate NILM using deep neural network architectures
Contributor
2/10/2018
Unlocking the potential of smart meter data via energy analytics
Invited speaker
3/6/2018
Carnegie Trust for the Universities of Scotland (External organisation)
Member
2/2018
IEEE Transactions on Signal and Information Processing over Networks (Journal)
Editorial board member
2018
4th International Workshop on Non-Intrusive Load Monitoring (Event)
Advisor
1/2018

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
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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