Niki Trigoni
Professor Niki Trigoni
Interests
Professor Trigoni's interests lie in intelligent and autonomous sensor systems with applications in positioning, healthcare, environmental monitoring and smart cities. Please contact her 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.
Biography
Niki Trigoni is a Professor 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). At Oxford, she is currently Director of the EPSRC Centre for Doctoral Training on Autonomous Intelligent Machines and Systems, a program that combines machine learning, robotics, sensor systems and verification/control. She also leads the Cyber Physical Systems Group, which is focusing on intelligent and autonomous sensor systems with applications in positioning, healthcare, environmental monitoring and smart cities. The group’s research ranges from novel sensor modalities and low level signal processing to high level inference and learning.
News
- Nov 2017: If you are interested in doing a DPhil in Computer Science in the area of cyberphysical systems, please find information on how to apply here. Deadlines 8th January/9th March 2018.
- Nov 2017: Several funded PhD positions are available every year at the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS) - directed by N. Trigoni and M. Osborne. It combines four themes: Robotics, Machine Learning, Verification&Control and Sensor&Actuator Networks. Next Deadline: 19th January 2018.
- Nov 2017: TPC chair of Sensys 2017, with Prof. L. Mottola
- June 2017: Trigoni and Markham receive a 3-year NIST grant to develop indoor positioning systems for emergency responders
- April 2016: TPC chair of IPSN 2016, with Prof. D. Culler and S. Nath
Selected Publications
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Zero−Velocity Detection – A Bayesian Approach to Adaptive Thresholding
Johan Wahlström‚ Isaac Skog‚ Fredrik Gustafsson‚ Andrew Markham and Niki Trigoni
In IEEE Sensors Letters. 2019.
Details about Zero−Velocity Detection – A Bayesian Approach to Adaptive Thresholding | BibTeX data for Zero−Velocity Detection – A Bayesian Approach to Adaptive Thresholding | Link to Zero−Velocity Detection – A Bayesian Approach to Adaptive Thresholding
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Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning
Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Sen Wang Andrew Markham and Niki Trigoni
In IEEE International Conference on Robotics and Automation (ICRA). 2019.
Details about Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | BibTeX data for Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | Download (pdf) of Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning
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GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Y. Almalioglu M. R. U. Saputra P. P. de Gusmao A. Markham and N. Trigoni
In IEEE International Conference on Robotics and Automation (ICRA). 2019.
Details about GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks | BibTeX data for GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks | Download (pdf) of GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Activities
- Deep Learning Based Inertial Tracking
- 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
Projects
Completed Projects
- Mobile and Sensor Nodes for Wildlife Monitoring
- TIME-EACM
- 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
- FRESNEL