Dr Lina Stankovic

Senior Lecturer

Electronic and Electrical Engineering

Personal statement

My ongoing research efforts focus on tuning analytical expertise for intelligent sensor data acquisition and analytics of smart buildings energy usage, understanding appliance behaviour through energy disaggregation, understanding energy demand through activities, motion analysis for tele-rehabilitation via depth and infrared sensors, through the use of sensor network data acquisition, communications and various modelling and inference tools.

Better understanding of appliances in a building, when they are used, and how much electricity they use, would help to overcome some of the challenges in managing households energy demand. Using smart meter data obtained through real household trials, via disaggregation, we focus our research efforts on enhanced appliance retrofit/upgrade decisions, demand prediction from appliances within households, opportunities for load shifting and improved understanding of households' daily routines.

With increasing importance given to telerehabilitation where the focus is clinical assessment of a patient’s functional abilities in his or her own environment, there is a growing need for accurate, low-cost, and portable motion capture systems that do not require specialist assessment venues. Current state-of-the-art optical clinical assessment equipment for rehabilitation requires multiple cameras for 3D image capture. Research efforts focus on motion capture using only a single camera sensor, with infrared and depth data, which is portable and cost effective compared to most industry-standard optical systems, without compromising on accuracy. Motion patterns of interest are determined from infrared and depth data, obtained in clinical trials, through depth recovery methods that map object coordinates into camera space.

Expertise

Has expertise in:

Intelligent monitoring and analytics, as applied to:

Energy and environment in smart buildings, e.g., disaggregation, activity recognition, appliace retrofit
Motion capture and person-centric kinematrics analysis using portable depth and infrared camera systems
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

Paper awarded top 5% by reviewers in Eusipco-2010 conference and invited for journal publication.: Recipient; 8/2010

more prizes and awards

Publications

Gait phase classification for in-home gait assessment: Ye Minxiang, Yang Cheng, Stankovic Vladimir, Stankovic Lina, Cheng Samuel; IEEE International Conference on Multimedia and Expo, pp. 1-6, (2017)
An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study: Murray David, Stankovic Lina, Stankovic Vladimir; Scientific Data Vol 4, pp. 1-12, (2017); http://dx.doi.org/10.1038/sdata.2016.122
Measuring the energy intensity of domestic activities from smart meter data: Stankovic L., Stankovic V., Liao J., Wilson C.; Applied Energy Vol 183, pp. 1565-1580, (2016); http://dx.doi.org/10.1016/j.apenergy.2016.09.087
Network coding cooperation performance analysis in wireless network over a lossy channel, M users and a destination scenario: El-Hihi Mohamed, Attar Hani, Solyman Ahmed, Stankovic Lina; Communications and Network Vol 8, pp. 257-280, (2016); http://dx.doi.org/10.4236/cn.2016.84023
A depth camera motion analysis framework for tele-rehabilitation : motion capture and person-centric kinematics analysis: Ye Minxiang, Yang Cheng, Stankovic Vladimir, Stankovic Lina, Kerr Andrew; IEEE Journal on Selected Topics in Signal Processing Vol 10, pp. 877-887, (2016); http://dx.doi.org/10.1109/JSTSP.2016.2559446
Non-intrusive load disaggregation using graph signal processing: He Kanghang, Stankovic Lina, Liao Jing, Stankovic Vladimir; IEEE Transactions on Smart Grid, (2016)

more publications

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

IEEE 2017 Workshop on Multimedia Signal Processing: Member of programme committee; 16/10/2017
Scientific contributor to workshop on 21st century standards and labelling programmes: Contributor; 16/12/2015
Domestic Energy Feedback Research focusing on Functionality and Uses of Smart Metering: Contributor; 3/2/2015
Department of Energy and Climate Change (External organisation): Advisor; 26/1/2015
External Examiner at The Computer Laboratory, Cambridge: External Examiner; 28/11/2012
ICIP-2011, IEEE International Conference on Image Processing, Brussels, Belgium, Sept. 2011: Organiser; 9/2011

more professional activities

Projects

Impact Acceleration Account - University Of Strathclyde 2012 / R120526-212: Stankovic, Lina (Principal Investigator); Period 01-Oct-2012 - 31-Mar-2017
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
System Risks In Information-Rich Environments: Monitoring For Safe And Cost-Effective Operation (Bridging The Gap) / RA4321: Stankovic, Lina (Principal Investigator); Period 01-Jan-2007 - 30-Apr-2010
System Risks In Information-Rich Environments: Monitoring For Safe And Cost-Effective Operation (Bridging The Gap) / RA4288: Stankovic, Lina (Principal Investigator); Period 02-May-2008 - 30-Apr-2010

more projects

Address

Electronic and Electrical Engineering
Royal College Building

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