Dr Lina Stankovic

Senior Lecturer

Electronic and Electrical Engineering

Personal statement

My research expertise is in Signal information Processing, with focus on designing 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:

    Signal information processing with application to the following problems:

    • Non-intrusive load monitoring, load profiling and disaggregation, activity recognition in smart buildings (Energy and environment)
    • Motion capture and person-centric kinematrics analysis using portable depth and infrared camera systems (Health & Wellbeing)
    • Micro-seismic event analysis, inc. earthquakes (Geosciences)
    • 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

Publications

Smart on-chip Fourier-transform spectrometers harnessing machine learning algorithms
Herrero-Bermello Alaine, Li Jiangfeng, Khazaei Mohammad, Grinberg Yuri, Villafranca-Velasco Aitor, Vachon Martin, Cheben Pavel, Stankovic Lina, Stankovic Vladimir, Xu Dan-Xia, Schmid Jens H, Alonso-Ramos Carlos A
SPIE Photonics West OPTO (2020)
Deep-based conditional probability density function forecasting of residential loads
Afrasiabi Mousa, Mohammadi Mohammad, Rastegar Mohammad, Stankovic Lina, Afrasiabi Shahabodin, Khazaei Mohammad
IEEE Transactions on Smart Grid (2020)
Evaluation of home-based rehabilitation sensing systems with respect to standardised clinical tests
Vourganas Ioannis, Stankovic Vladimir, Stankovic Lina, Michala Anna Lito
Sensors Vol 20 (2019)
https://doi.org/10.3390/s20010026
On-chip Fourier-transform spectrometers and machine learning : a new route to smart photonic sensors
Herrero-Bermello Alaine, Li Jiangfeng, Khazaei Mohammad, Grinberg Yuri, Vellasco Aitor V, Vachon Martin, Cheben Pavel, Stankovic Lina, Stankovic Vladimir, Xu Dan-Xia, Schmid Jens H, Alonso-Ramos Carlos
Optics Letters (2019)
Trends and challenges in smart metering analytics
Khazaei M, Stankovic L, Stankovic V
Review of Business and Technology Research (RBTR) 2019 MTMI International Conference on Emerging Issues in Business, Technology and Applied Sciences (2019)
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 Vol 10, pp. 6472-6480 (2019)
https://doi.org/10.1109/TSG.2019.2906012

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

External examiner for Megha Gaur, PhD Candidate, IIIT New Delhi, India
Examiner
16/10/2019
PGCon: Edinburgh Postgraduate Conference
Participant
15/10/2019
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

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
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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