Projects per year
Personal profile
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, 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. Energy analytics together with motion analysis directly impact remote health monitoring, including rehabilitation, to reduce load on the healthcare system.
Overall my research interests revolve around finding patterns in and mining information from noisy, multi modeal 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.
Expertise & Capabilities
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
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
Academic / Professional qualifications
PhD and BEng in Electronic Communication Systems from Lancaster University, Senior Member of the IEEE
Teaching Interests
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
Education/Academic qualification
Doctor of Philosophy, School of Computing and Communications, Lancaster University
Award Date: 1 May 2003
Bachelor of Engineering, Lancaster University
Award Date: 15 Jun 1999
External positions
Committe member of the European Science Foundation, The European Science Foundation
Dec 2018 → Dec 2021
Editorial Board, Editorial Board of the IEEE Transactions on Signal and Information Processing over Networks
12 Feb 2018 → …
Carnegie Trust Research Assessor for Science, Engineering and Technology, Carnegie Trust for the Universities of Scotland
Feb 2018 → …
EPSRC Peer Review College Member , Engineering and Physical Sciences Research Council
1 Apr 2010 → …
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- 1 Similar Profiles
Network
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Low-frequency non-intrusive load monitoring of electric vehicles in houses with solar generation: generalisability and transferability
Vavouris, A., Garside, B., Stankovic, L. & Stankovic, V., 17 Mar 2022, In: Energies. 15, 6, 27 p., 2200.Research output: Contribution to journal › Special issue › peer-review
Open AccessFile4 Downloads (Pure) -
Quantification of dairy farm energy consumption to support the transition to sustainable farming
Todic, T., Stankovic, L., Stankovic, V. & Shi, J., 24 Jun 2022. 6 p.Research output: Contribution to conference › Paper › peer-review
Datasets
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Residential electrical loads measurements with simulated anomalies in air conditioner and refrigerator
Rashid, H. (Creator), Singh, P. (Supervisor), Stankovic, V. (Contributor) & Stankovic, L. (Data Manager), University of Strathclyde, 18 Jan 2019
DOI: 10.15129/d712ccac-21a1-40d2-8456-41217b62a6d5
Dataset
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Annotated load anomalies from the REFIT Dataset
Rashid, H. (Creator), Stankovic, V. (Contributor), Stankovic, L. (Editor) & Singh, P. (Supervisor), University of Strathclyde, 6 Feb 2019
DOI: 10.15129/9729a2a0-11ce-4cce-b0d0-144c483fcb33, https://2019.ieeeicassp.org/
Dataset
Prizes
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Finalist of the World first 10K Best paper Award (Top 3%)
Ye, M. (Recipient), Yang, C. (Recipient), Stankovic, Vladimir (Recipient), Stankovic, Lina (Recipient) & Cheng, S. (Recipient), 12 Jul 2017
Prize: Prize (including medals and awards)
File -
Paper awarded top 5% by reviewers in Eusipco-2010 conference and invited for journal publication.
Stankovic, Lina (Recipient), Aug 2010
Prize: Prize (including medals and awards)
Activities
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Data sharing as a driver for innovation
Lina Stankovic (Speaker)
22 Nov 2021Activity: Talk or presentation types › Invited talk
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Responsible data processing
Lina Stankovic (Speaker)
23 Nov 2021Activity: Talk or presentation types › Invited talk