Dr Lina Stankovic

Reader

Electronic and Electrical Engineering

Personal statement

My research expertise is in Signal and Information Processing, with focus on representation, processing, analysis, communications and data management of information in a range of signals including electrical signals, video,  seismic/geoscience, health/biological and other environmental sensor data. Smart meter energy analytics directly impact energy efficiency in the home and non-residential buildings including agriclture, demand response, environmental impact assessment and net zero GHG emissions. Seismic signal analysis directly impacts mitigation of the effects of climate change and human activity on slope failures, with repercussions on civil infrastructure and transport.  

Overall my research interests revolve around finding patterns in and mining information from noisy, multi modal sensor data. My work is particularly aligned with the following university strategic research themes (Measurement Science & Enabling Technologies, Energy, Health & Well-Being)

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

Publications

Transfer learning for multi-objective non-intrusive load monitoring in smart building
Li Dandan, Li Jiangfeng, Zeng Xin, Stankovic Vladimir, Stankovic Lina, Xiao Changjiang, Shi Qingjiang
Applied Energy Vol 329 (2023)
https://doi.org/10.1016/j.apenergy.2022.120223
Near surface full waveform inversion via deep learning for subsurface imaging
Parasyris A, Stankovic L, Pytharouli S, Stankovic V
World Tunnel Congress 2023 (2022)
Graph-based feature weight optimisation and classification of continuous seismic sensor array recordings
Li J, Stankovic L, Stankovic Vladimir, Pytharouli S, Yang C, Shi Q
Sensors Vol 23 (2022)
https://doi.org/10.3390/s23010243
How likely is a random network graph shift-enabled?
Chen Liyan, Cheng Samuel, Stankovic Vladimir, Stankovic Lina, Shi Qingjiang
IEEE Transactions on Signal and Information Processing over Networks Vol 8, pp. 973-982 (2022)
https://doi.org/10.1109/TSIPN.2022.3216099
Using explainability tools to inform NILM algorithm performance : a decision tree approach
Mollel Rachel Stephen, Stankovic Lina, Stankovic Vladimir
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation BuildSys'22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation BuildSys '22, pp. 368-372 (2022)
https://doi.org/10.1145/3563357.3566148
Benefits of three-phase metering for load disaggregation
Vavouris Apostolos, Stankovic Lina, Stankovic Vladimir, Shi Jiufeng
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation BuildSys '22, pp. 393-397 (2022)
https://doi.org/10.1145/3563357.3566149

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

  • Smart meter energy analytics, including load disaggregation, prediction and profiling
  • Non-intrusive Load Monitoring, residential and commercial
  • Environmental impact assessment of consumption cycle of Food Systems and Appliances
  • Detecting, classifying, understanding and characterising subsurface processes arising from man-made/induced activities, such as hydraulic fracturing
  • Model-fitting/system characterisation
  • Sensor deployment and data acquisition

Professional activities

2023 IEEE International Conference on Acoustics, Speech and Signa Processing
Organiser
20/8/2022
6th International Workshop on Non-Intrusive Load Monitoring
Participant
7/6/2022
Sensors (Journal)
Peer reviewer
23/1/2022
Responsible data processing
Speaker
23/11/2021
Data sharing as a driver for innovation
Speaker
22/11/2021
Sensors (Journal)
Peer reviewer
30/8/2021

More professional activities

Projects

Quantifying temporal and spatial causalities between climate change and slope failures (New Horizons)
Stankovic, Lina (Principal Investigator) Pytharouli, Stella (Co-investigator) Stankovic, Vladimir (Co-investigator)
01-Jan-2022 - 30-Jan-2024
Near real-time AI-based spatio-temporal analysis of large seismic data sets for illuminating slope instabilities (SPORAL) RSE Saltire International Collaboration Awards
Stankovic, Lina (Principal Investigator) Pytharouli, Stella (Co-investigator) Stankovic, Vladimir (Co-investigator)
01-Jan-2022 - 31-Jan-2024
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
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

More projects

Address

Electronic and Electrical Engineering
Royal College

Location Map

View University of Strathclyde in a larger map