Welcome to SeNSe

The Centre for Sensor Network & Smart Environment (SeNSe) was formed in late 2006 as a research incubator in the field of intelligent sensor networks. The key objectives were to fulfil the need for research and innovation in this important field based on strong electronic and computer engineering disciplines which have the ability to interact with other disciplines, and also to meet the industry need for interaction and consultation.
Sensors provide a window to the physical world. They enable ambient intelligence applications that could lead to smart environments. Machine-sensed data can go beyond understanding process behaviour or human social behaviour. It is capable of supporting other living objects such as animals and plants, or perishable items such as food which react dynamically to environmental changes. Furthermore, sensors could also be used to support interactions among living objects to facilitate better human reaction to natural disasters.
The ubiquitous deployment of sensors leads to the ubiquitous generation of data. If sense can be made of such data, we can achieve an unprecedented deeper and more comprehensive proving and understanding of reality and real-world situations. Such an understanding can help us to live smarter in the face of issues such as climate change, resource consumption, the environment and health.

Research Areas

The mission of SeNSe is to contribute to the science and technology of intelligent sensor networks which will help create smart environments. Currently the group is involved in many projects in this area including but not limited to:

  • Ubiquitous Healthcare Monitoring
  • Collision Avoidance for Drone Sensor Networks
  • Over the Air Programming of Wireless Sensor Networks
  • Wildlife Cognitive Sensor Network
  • Energy Efficient Fuzzy Sub-Clustering for Sensor Network Data Streaming
  • Microwave Timber Property mapping
  • Auckland Passive Home Monitoring: Sensor Network & human Comfort
  • Object Centric Thermal Mapping: Sensor Network and object surrounding environment tracking
  • Railway Signalling System: Sensor Network Train localization
  • pH Sensor Network: Red Meat Tenderization
  • Hunters Friendly Fire: Sensor Network and Accident Avoidance

Research Funding

Postdoctoral and PhD candidates are encouraged to submit their applications to Prof. Adnan using the address: adnan.alanbuky@aut.ac.nz. If you are a PhD holder and have New Zealand nationality, or are a Permanent Resident, we may be able to work with you on acquiring postdoctoral funding through FRST. Strong PhD candidates may match current projects offered by industry and be eligible to fund their application.