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Andrew Markham

Personal photo - Andrew Markham

Dr Andrew Markham

Associate Professor
Director, Software Engineering Programme

Governing Body Fellow, Kellogg College

T: +44 1865 (6) 10729

Wolfson Building, Parks Road, Oxford OX1 3QD


Click here for my personal homepage. My Google Scholar Citations can be found here.


Jan 2015: Our paper on novel magneto-inductive localization of underground animals has been published in Methods in Ecology and Evolution!

Apr 2014: We received the best paper award at IPSN 2014 for the paper "Lightweight map matching for indoor localisation using conditional random fields"!

Feb 2014: We received the best poster award at EWSN 2014 for the poster "A Case for Magneto-Inductive Indoor Localization"!

Feb 2014: Our paper on indoor localization will be presented at IPSN 2014, along with two entries to the indoor localization competition!


I am a University Lecturer (Associate Professor) in Software Engineering, looking at sensing and communication in extreme and challenging application. Previously I was an EPSRC Postdoctoral Research Fellow, working on the UnderTracker project. I am investigating how to localize people, animals and objects in environments where technologies like GPS fail, such as underground or indoors. Key to this is the use of magneto-inductive tracking and communication. This has been applied to monitoring animals in their underground habitats, allowing for the first time detailed reconstruction of animal trajectories in their underground burrows. 

I also worked on the WildSensing project, which used wireless sensor nodes to monitor badger behaviour. My work is typically cross-disciplinary, and one interesting avenue of research was automatically evolving code for distributed computing. This used a computational analog of a biological process, termed a discrete Gene Regulatory Network (dGRN). I obtained my PhD from the University of Cape Town, South Africa in 2008 researching the design and implementation of a wildlife tracking system, using heterogeneous wireless sensor networks.


PhD in Electrical Engineering, University of Cape Town, South Africa (2008):

"On a wildlife tracking and telemetry system: a wireless network approach"

BSc in Electrical Engineering, First Class Honours, University of Cape Town, South Africa (2004)

Selected Publications

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Completed Projects

Current Students

Current Postdocs

Past Students

Ronnie Clark
Savvas Papaioannou