Dr Lina Stankovic

Senior Lecturer

Electronic and Electrical Engineering

Personal statement

My research expertise is in Signal information Processing and Data Science, with focus on developing 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:

Communications and Signal information processing, as applied to:

Energy and environment in smart buildings, e.g., load monitoring, load profiling and disaggregation, activity recognition
Motion capture and person-centric kinematrics analysis using portable depth and infrared camera systems
Micro-seismic event detection and analytics
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

Publications

Optimal detection and error exponents for hidden semi-Markov models: Bajović Dragana, He Kanghang, Stanković Lina, Vukobratović Dejan, Stanković Vladimir; IEEE Journal on Selected Topics in Signal Processing Vol 12, pp. 1077-1092, (2018); http://dx.doi.org/10.1109/JSTSP.2018.2851506
Shift-enabled graphs : graphs where shift-invariant filters are representable as polynomials of shift operations: Chen Liyan, Cheng Samuel, Stankovic Vladimir, Stankovic Lina; IEEE Signal Processing Letters Vol 25, pp. 1305-1309, (2018); http://dx.doi.org/10.1109/LSP.2018.2849685
Improving event-based non-intrusive load monitoring using graph signal processing: Zhao Bochao, He Kanghang, Stankovic Lina, Stankovic Vladimir; IEEE Access, pp. 1-15, (2018); http://dx.doi.org/10.1109/ACCESS.2018.2871343
Network coding hard and soft decision behavior over the physical layer using PUMTC: Attar Hani, Alhihi Mohamad, Zhao Bochao, Stankovic Lina; 4th IEEE International Conference on Advances in Computing and Communication Engineering , (2018)
Non-intrusive load disaggregation using graph signal processing: He Kanghang, Stankovic Lina, Liao Jing, Stankovic Vladimir; IEEE Transactions on Smart Grid Vol 9, pp. 1739-1747, (2018); http://dx.doi.org/10.1109/TSG.2016.2598872
Appliance electrical consumption modelling at scale using smart meter data: Murray D.M., Stankovic L., Stankovic V., Espinoza-Orias N.D.; Journal of Cleaner Production, (2018); http://dx.doi.org/10.1016/j.jclepro.2018.03.163

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

Carnegie Trust for the Universities of Scotland (External organisation): Advisor; 2/2018
4th International Workshop on Non-Intrusive Load Monitoring (Event): Advisor; 1/2018
IEEE Transactions on Signal and Information Processing over Networks (Journal): Editorial board member; 2018
IEEE 2017 Workshop on Multimedia Signal Processing: Member of programme committee; 16/10/2017
21st century standards and labelling programmes: Invited speaker; 16/12/2015
Domestic Energy Feedback Research focusing on Functionality and Uses of Smart Metering: Contributor; 3/2/2015

more professional activities

Projects

EPSRC Global Challenges Research Fund Institutional Sponsorship Award 2017 (GCRF) / R171051-102: Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator); Period 01-Jul-2017 - 31-Mar-2018
Impact Acceleration Account - University Of Strathclyde 2012 / R120526-212: Stankovic, Lina (Principal Investigator); Period 01-Oct-2012 - 31-Mar-2017
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); Period 01-Oct-2017 - 31-Dec-2020
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); Period 01-Jan-2017 - 31-Dec-2020
EPSRC DOCTORAL TRAINING GRANT | Elafoudi, Georgia: Stankovic, Lina (Principal Investigator) Galloway, Stuart (Co-investigator) Elafoudi, Georgia (Research Co-investigator); Period 01-Nov-2011 - 01-Sep-2015
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; Period 01-Jun-2013 - 30-Sep-2015

more projects

Address

Electronic and Electrical Engineering
Royal College Building

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