Professor Trigoni's interests lie in localization, communication and coordination protocols for networked sensor nodes. Her research has been applied to a number of scenarios, from people and animal tracking, to road traffic monitoring, controlling autonomous vehicles and sensing industrial processes. Details of her research activities are available at the Sensor Networks Group's website.
** Please contact Prof. Trigoni at firstname.lastname@example.org if you are interested in applying for a DPhil, postdoc or senior software engineer position in one of the following areas: Indoor positioning systems, data fusion, inference and learning from sensor data, human-robot interaction, communication protocols and quality assurance for sensor networks, innovative mobile sensing platforms and architectures including participatory and social sensing, sensor tasking, control, coordination, decision making and actuation. We currently have a number of funded open positions.
Professor Niki Trigoni is a University Lecturer at the Oxford University Department of Computer Science and a fellow of Kellogg College. She obtained her DPhil at the University of Cambridge (2001), became a postdoctoral researcher at Cornell University (2002-2004), and a Lecturer at Birkbeck College (2004-2007). Since she moved to Oxford in 2007, she established the Sensor Networks Group, and has conducted research in communication, localization and in-network processing algorithms for sensor networks. Her recent and ongoing projects span a wide variety of sensor networks applications, including indoor/underground localization, wildlife sensing, road traffic monitoring, autonomous (aerial and ground) vehicles, and sensor networks for industrial processes. She has co-authored more than 60 peer-reviewed conference and journal papers, including publications at Sensys, IPSN, Infocom, Mobihoc and ACM Transactions on Sensor Networks. In 2012, she edited (with Prof. Krishnamachari) a themed issue of the Philosophical Transactions of the Royal Society A, which is a compilation of landmark papers from leading researchers in her field. She has also edited the Proceedings of the Third International Conference on GeoSensor Networks (2009). She served as the Tracking Session Chair at ACM Sensys 2012, Chair of the 3rd Intl. Conf. in GeoSensor Networks in 2009, and as co-Chair of the Workshop on Environmental Sensor Networks in 2007. She has reviewed a large number of papers for conferences and journals in the area of sensor networks, and grant proposals for EPSRC, NERC, NSF, Singapore Ministry of Education and the British Council.
Sensor Networks Group News
- Oct 2015: Funding available for PhD students, postdocs and software engineers interested in the areas of people/robot positioning, and data fusion/inference/learning in cyberphysical systems. Please contact email@example.com.
- 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"!
- Jan 2014: Launch of a new EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS) - directed by S. Roberts and N. Trigoni. It combines four themes: Robotics, Machine Learning, Verification&Control and Sensor&Actuator Networks. Several funded PhD positions are available every year with the first intake in 2014/2015 and the last in 2018/2019.
DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks
H. Wen S. Wang R. Clark and N. Trigoni
In International Conference on Robotics and Automation. 2017.
Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization
Stefano Rosa‚ Chris Xiaoxuan Lu‚ Hongkai Wen and Niki Trigoni
In ACM/IEEE International Conference on Human−Robot Interaction (HRI). 2017.
VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem
N. Trigoni R. Clark S. Wang H. Wen and A. Markham
In AAAI Conference on Artificial Intelligence (AAAI). 2017.
- Mobile and Sensor Nodes for Wildlife Monitoring
- Agent-based Area Exploration and Event Detection in Emergency Scenarios
- Sensing, Unmanned, Autonomous Aerial VEhicles
- Acoustic Actuated Sensor Networks for Industrial Processes (AASN4IP)
- Autonomous Ubiquitous Sensing