Dr Andrew Markham
I am an Associate Professor and I work on sensing systems, with applications from wildlife tracking to indoor robotics to checking that bridges are safe. I work in the cyberphysical systems group. I design novel sensors, investigate new algorithms (increasingly deep and reinforcement learning based) and apply these innovations to solving new problems. 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. My work is typically cross-disciplinary and I colloborate with colleagues from a wide range of disciplines. 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)
Sensor Fusion for Magneto−Inductive Navigation
Johan Wahlström Manon Kok Pedro Porto Buarque de Gusmsao Traian E. Abrudan Niki Trigoni and Andrew Markham
In IEEE Sensors Journal. 2019.
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang‚ Jianan Wang‚ Ronald Clark‚ Qingyong Hu‚ Sen Wang‚ Andrew Markham and Niki Trigoni
In Conference on Neural Information Processing Systems (NeurIPS Spotlight). 2019.
Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction
Bo Yang‚ Sen Wang‚ Andrew Markham and Niki Trigoni
In International Journal of Computer Vision. 2019.
- Deep Learning Based Inertial Tracking
- Intuitive Physics
- Mobile and People-centric Systems and Sensing
- Intelligent Resource Constrained Systems
- Machine Learning Systems
- Distributed Sensing and Coordination
- Positioning in GPS-denied Environments
- Software Engineering