Professor Lina Stankovic
Electronic and Electrical Engineering
Personal statement
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 adviser of studies for the Computer and Electronic Systems degree at Strathclyde, and Deputy Head of Department Teaching.
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Area of Expertise
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
Prize 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
Qualifications
PhD and BEng (Hons) in Electronic Communication Systems from Lancaster University
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Publications
- Human in the loop active learning for time-series electrical measurement data
- Sobot Tamara, Stankovic Vladimir, Stankovic Lina
- Engineering Applications of Artificial Intelligence Vol 133 (2024)
- https://doi.org/10.1016/j.engappai.2024.108589
- A complex mixed-methods data-driven energy-centric evaluation of net-positive households
- Vavouris Apostolos, Guasselli Fernanda, Stankovic Lina, Stankovic Vladimir, Gram-Hanssen Kirsten, Didierjean Sébastien
- Applied Energy Vol 367 (2024)
- https://doi.org/10.1016/j.apenergy.2024.123404
- Smart energy technologies for the collective : time-shifting, demand reduction and household practices in a Positive Energy Neighbourhood in Norway
- Guasselli Fernanda, Vavouris Apostolos, Stankovic Lina, Stankovic Vladimir, Didierjean Sébastien, Gram-Hanssen Kirsten
- Energy Research and Social Science Vol 110 (2024)
- https://doi.org/10.1016/j.erss.2024.103436
- The Plegma dataset : domestic appliance-level and aggregate electricity demand with metadata from Greece
- Athanasoulias Sotirios, Guasselli Fernanda, Doulamis Nikolaos, Doulamis Anastasios, Ipiotis Nikos, Katsari Athina, Stankovic Lina, Stankovic Vladimir
- Scientific Data Vol 11 (2024)
- https://doi.org/10.1038/s41597-024-03208-0
- A weakly supervised active learning framework for non-intrusive load monitoring
- Tanoni Giulia, Sobot Tamara, Principi Emanuele, Stankovic Vladimir, Stankovic Lina, Squartini Stefano
- Integrated Computer-Aided Engineering (2024)
- https://doi.org/10.3233/ICA-240738
- An active learning framework for microseismic event detection
- Sobot Tamara, Murray David, Stankovic Vladimir, Stankovic Lina, Shi Peidong
- 2024 IEEE International Geoscience and Remote Sensing Symposium 2024 IEEE International Geoscience and Remote Sensing Symposium IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) (2024)
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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
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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
- 2024 IEEE World Congress on Computational Intelligence (WCCI)
- Organiser
- 30/6/2024
- User-centric insights from low-frequency smart meter data analysis towards flexibility potential
- Presenter
- 8/5/2024
- Efficient load scheduling for dairy farms with renewable energy provision
- Speaker
- 1/5/2024
- Cow in the loop
- Contributor
- 30/4/2024
- Revolutionising Dairy with Digital Innovation
- Contributor
- 23/1/2024
- External Examiner for PhD defense of Pooja Gupta "Information Fusion using Convolutional Transform Learning"
- Examiner
- 29/8/2023
Projects
- Digital Dairy Chain Innovation Voucher: Project Drum - How End Farm, community led RES surplus energy export potential and methane/gas production for self-consumption/export
- Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Principal Investigator)
- The goal of this project is to perform an analysis on the renewable energy exporting potential (wind/solar/anaerobic digester) in order to inform business case models that will explore community energy sharing schemes, battery storage and export, EV charging etc.
- 27-Jan-2024 - 31-Jan-2024
- Digital Dairy Chain Innovation Voucher: Project Drum - Beckside farm energy balancing and surplus exporting potential under a community led scheme
- Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator) Vavouris, Apostolos (Researcher)
- In this project the optimal exploitation of the renewable energy surplus (solar/hydro) in dairy farms will be explored together with possibilities for load shifting in order to optimise the energy self-consumption. The exploitation of the available land and roof space for the installation of additional renewables to further increase the passive cash flows of the farm will also be explored, as well as investments in energy storage and diversifying clean energy production to inform further studies on community energy sharing and business models development for energy sharing.
- 27-Jan-2024 - 31-Jan-2024
- Digital Dairy Chain Innovation Voucher: Project Drum - Orton Grange farm energy management in a dairy farm with a highly diversified portfolio and RES surplus exporting potential under a community led scheme
- Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher)
- The goal of this project is to perform an analysis on the renewable energy exporting potential from renewable energy sources including solar PV and wind, against the demands of a housed energy intensive pedigree dairy farm milking using a traditional herringbone parlour with a number of diversified businesses including a café, food hall, swimming pool and other retail activities. Through this analysis, energy availability and feasibility of exploiting the energy surplus will be explored in order to inform business models of community energy sharing, battery storage and export, EV charging etc.
- 27-Jan-2024 - 31-Jan-2024
- Digital Dairy Chain Innovation Voucher: Littleton Farm - Exploring diverse renewables portfolio to accelerate net-zero transition
- Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator) Vavouris, Apostolos (Researcher) Sobot, Tamara (Researcher)
- The goal of this project is to significantly improve energy efficiency of dairy farms with local energy generation by understanding energy demand on the farm and demand flexibilities and provide a set of recommendations such as load shifting, change of practices or processes, upgrade/retrofit or new investments. The methodology will be built leveraging knowledge gained from two dairy farms in the Luce Bay area that are of different scale (small scale ~300 cows to medium-large scale ~1100 cows) with different milking equipment (parallel/rotary parlours), different renewable on-site generation sources including solar and wind power, and hence very different energy demand.
- 18-Jan-2024 - 30-Jan-2024
- Digital Dairy Chain Innovation Voucher: Project Luce - Efficient Load Scheduling for dairy farms with renewable energy provision
- Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher)
- Provide optimised load scheduling to maximise on-site renewable (solar/wind) self-consumption & explore the viability/feasibility of creating a micro farm grid that will link different premises (dairies/piggeries).
- 18-Jan-2024 - 30-Jan-2024
- Picture-IT: Co-creation of an android based app to support neurotypical and neurodiverse pupils in school with their learning
- Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator)
- 01-Jan-2024 - 30-Jan-2024
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Contact
Professor
Lina
Stankovic
Electronic and Electrical Engineering
Email: lina.stankovic@strath.ac.uk
Tel: 548 2704