Projects per year
Personal profile
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 & Capabilities
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
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
Academic / Professional qualifications
- Senior Member of the IEEE
- Associate Editor IEEE Transactions on Signal Information Processing over Networks
- UK Engineering and Physical Sciences Research Council (EPSRC) Peer Review college Member
- European Science Foundation (ESF) College of Expert Reviewers Member
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
Bachelor of Engineering, Lancaster University
External positions
Editorial Board, Editorial Board of the IEEE Transactions on Signal and Information Processing over Networks
12 Feb 2018 → …EPSRC Peer Review College Member , Engineering and Physical Sciences Research Council
1 Apr 2010 → …Fingerprint Dive into the research topics where Lina Stankovic is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2007 2023
Research Output 2001 2019
A generic optimisation-based approach for improving non-intrusive load monitoring
He, K., Jakovetic, D., Zhao, B., Stankovic, V., Stankovic, L. & Cheng, S., 19 Mar 2019, In : IEEE Transactions on Smart Grid. 9 p.Research output: Contribution to journal › Article
Open Access
File
Monitoring
Heuristic methods
Processing
Analytical models
Automation enhancement and accuracy investigation of a portable single-camera gait analysis system
Yang, C., Ugbolue, U. C., McNicol, D., Stankovic, V., Stankovic, L., Kerr, A., Carse, B., Kaliarntas, K. & Rowe, P. J., 30 Jun 2019, In : IET Science, Measurement and Technology. 13, 4, p. 563-571 9 p.Research output: Contribution to journal › Article
Open Access
File
gait
Gait analysis
systems analysis
automation
Automation
Datasets
Annotated load anomalies from the REFIT Dataset
Rashid, H. (Creator), University of Strathclyde, 6 Feb 2019
DOI: 10.15129/9729a2a0-11ce-4cce-b0d0-144c483fcb33, https://2019.ieeeicassp.org/
Dataset
Residential electrical loads measurements with simulated anomalies in air conditioner and refrigerator
Rashid, H. (Creator), University of Strathclyde, 18 Jan 2019
DOI: 10.15129/d712ccac-21a1-40d2-8456-41217b62a6d5
Dataset
Thesis
Enhancing livestock and human health monitoring via analysis of electronic sensor data
Author: Sarkar, S., 1 Feb 2015Supervisor: Stankovic, L. (Supervisor) & Andonovic, I. (Supervisor)
Student thesis: Doctoral Thesis
Fast blind adaptive equalisation for multiuser CDMA systems
Author: Daas, A., 1 Oct 2009Supervisor: Weiss, S. (Supervisor) & Stankovic, L. (Supervisor)
Student thesis: Doctoral Thesis
Prizes
Finalist of the World first 10K Best paper Award (Top 3%)
Minxiang Ye (Recipient), Cheng Yang (Recipient), Vladimir Stankovic (Recipient), Lina Stankovic (Recipient) & Samuel Cheng (Recipient), 12 Jul 2017
Prize: Prize (including medals and awards)
File
honors and awards
gait
developed countries
China
Paper awarded top 5% by reviewers in Eusipco-2010 conference and invited for journal publication.
Lina Stankovic (Recipient), Aug 2010
Prize: Prize (including medals and awards)
Activities 2007 2018
European Science Foundation (External organisation)
Lina Stankovic (Member)19 Dec 2018 → 19 Dec 2021
Activity: Membership types › Membership of peer review panel or committee
Transferable low rate NILM using deep neural network architectures
David Murray (Speaker), Lina Stankovic (Contributor), Vladimir Stankovic (Contributor)2 Oct 2018
Activity: Talk or presentation types › Oral presentation