Dr Andrew Markham
Governing Body Fellow, Kellogg College
+44 1865 (6) 10729
Wolfson Building, Parks Road, Oxford OX1 3QD
Sep 2013: I am looking for some very strong DPhil candidates in the broad areas of embedded systems, localization and distributed computing. If you have an excellent track record, please send me your cv and a short research proposal. I currently do not have any funding, but there are a number of studentships available with a November deadline, so please get in touch soon!
Jun 2012: Article on our low frequency 3D Location technology in Wired.co.uk
Apr 2012: Using magneto-induction for rescue of miners after disasters, presented at IPSN 2012.
Dec 2011: Journal paper on underground tracking in 3-D has been accepted to appear in IEEE Sensors Journal. Early Access available here.
I am a University Lecturer in Software Engineering, focussing on embedded systems, novel sensing and low power wireless networks. Previously I was an EPSRC Postdoctoral Research Fellow, working on the UnderTracker project. I am investigating how to localize people, animals and objects in challenging environments, such as underground or indoors, where technologies like GPS fail. 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. This was presented at the ACM SenSys 2010 conference in November 2010, along with the group paper outlining our deployment experiences.
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). This work has been presented at IEEE InfoCom 2010, and an extended version published in the Computer Journal. 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)
Comparison of Accuracy Estimation Approaches for Sensor Networks
Hongkai Wen‚ Zhuoling Xiao‚ Andrew Symington‚ Andrew Markham and Niki Trigoni
In 9th IEEE International Conference on Distributed Computing in Sensor Systems. 2013.
Underground Localization in 3−D Using Magneto−Inductive Tracking
Andrew Markham and Niki Trigoni
In IEEE Sensors Journal. Vol. 12. No. 6. Pages 1809–1816. June, 2012.
WILDSENSING:Design and Deployment of a Sustainable Sensor Network for Wildlife Monitoring
Ricklef Wohlers Vladimir Dyo Stephen A. Ellwood David W. Macdonald Andrew Markham Cecilia Mascolo Bence Pasztor Salvatore Scellato Niki Trigoni and Kharsim Yousef
In ACM Transactions on Sensor Networks. 2012.