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 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.
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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, A Multifunctional Turbo-based Receiver using Partial Unit Memory Codes, School of Computing and Communications, Lancaster University
Award Date: 1 May 2003
Bachelor of Engineering, Electronic Communications Systems, 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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Collaborations and top research areas from the last five years
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Performance-aware NILM model optimization for edge deployment
Sykiotis, S., Athanasoulias, S., Kaselimi, M., Doulamis, A., Doulamis, N., Stankovic, L. & Stankovic, V., 30 Sept 2023, In: IEEE Transactions on Green Communications and Networking. 7, 3, p. 1434-1446 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)15 Downloads (Pure) -
Unsupervised cluster analysis of walking activity data for healthy individuals and individuals with lower limb amputation
Jamieson, A., Murray, L., Stankovic, V., Stankovic, L. & Buis, A., 27 Sept 2023, In: Sensors. 23, 19, 18 p., 8164.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure)
Datasets
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Synthetic dataset for Deep Learning-based Inversion for Velocity Model Building
Parasyris, A. (Creator), Stankovic, L. (Supervisor) & Stankovic, V. (Supervisor), University of Strathclyde, 14 Apr 2023
DOI: 10.15129/d49bcfc6-7bd0-450c-9734-cf89403ef9c0
Dataset
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Smart meter electricity of a Household in Germany with Electric Vehicle Charging Annotation
Vavouris, A. (Creator), Stankovic, L. (Supervisor) & Stankovic, V. (Supervisor), University of Strathclyde, 29 Aug 2022
DOI: 10.15129/c41a6a02-5df5-4ed7-b8e6-6488895d43f7
Dataset
Prizes
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Finalist of the World first 10K Best paper Award (Top 3%)
Ye, Minxiang (Recipient), Yang, Cheng (Recipient), Stankovic, Vladimir (Recipient), Stankovic, Lina (Recipient) & Cheng, Samuel (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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External Examiner for PhD Defense of Anurag Goel "Deep Clustering"
Lina Stankovic (Examiner)
24 Aug 2023Activity: Examination types › Examination
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External Examiner for PhD defense of Pooja Gupta "Information Fusion using Convolutional Transform Learning"
Lina Stankovic (Examiner)
29 Aug 2023Activity: Examination types › Examination