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Dr lina Stankovic (Nee Fagoonee) |
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Bio |
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Dr Lina Stanković (Fagoonee) is currently a Glasgow Research Partnership in Engineering (GRPE) Lecturer at the University of Strathclyde. Before joining Strathclyde, she was at Lancaster University as a PhD student, research associate and then lecturer. Her PhD was sponsored by QinetiQ (formerly DERA Malvern 1999 - 2002) on developing a turbo receiver including coding, equalization and synchronization for combat radio. She has also worked with BT Labs, Martlesham Heath on GUI design for digital video, and with Philips Research Europe in Eindhoven, The Netherlands.on developing signal processing techniques for characterization and detection of ISI-limited signals from two-dimensional optical storage discs. She has published over 60 research papers in peer-reviewed international journals, conference proceedings, and three book chapters; she has been awarded two EPSRC grants 2 EPSRC grants in DSP-enabled communications and an inter-disciplinary SFC-funded HORIZON award building on my recent work (which won the University’s Bridging the Gap Award in 2008) on asset monitoring of civil public structures with British Waterways and Scottish Water (and shared Network Rail assets) via wireless sensor networks. Dr Stanković has recently presented tutorials at major international conferences: IEEE ICC-2007, Eusipco-2008, IEEE ICCCN-2008, and IEEE ICASSP-2009, on wireless transmission and storage of multimedia. She co-organized a special session on distributed compression at ICIP-2011 and ACM MobiMedia-2009 conferences. She has been a technical program committee member of international conferences and is a member of the organizing committee of Eusipco-2009, as Tutorial Chair. She is an EPSRC Peer Review College member and Associate Editor for the International Journal of Electronics and Communications. She is also member of the IET and IEEE. Her research interest is primarily coding, including source and channel coding, network coding and sparse coding; their application in wireless communications, underwater communications, distributed source coding, optical/magnetic recording, and machine learning; iterative probabilistic decoding tools; graphical representation and inference. She is currently working on intelligent condition monitoring of civil structures and livestock through the use of wireless sensor networks and various machine learning tools.
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