معرفی
Niki Trigoni is a Professor of Computing Science at the University of Oxford, Department of Computer Science, and a Governing Body Fellow at Kellogg College. She leads the Cyber Physical Systems Group and is Director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS), a major interdisciplinary program combining robotics, machine learning, sensor systems, and verification/control.
Her research focuses on intelligent and autonomous sensor systems, with applications in indoor positioning, healthcare monitoring, environmental sensing, and smart cities. Key interests include data fusion, inference and learning from sensor data, human-robot interaction, communication protocols for sensor networks, and innovative mobile sensing architectures such as participatory and social sensing.
Her recent publications (2020–2023) highlight a strong trend in deep learning-based sensor fusion, particularly using mmWave radar, LiDAR, inertial, and visual data. Work spans human sensing (e.g., mmPoint), localization (e.g., PointLoc, RadarLoc), SLAM (e.g., iMag+), and domain adaptation (e.g., illumination-aware thermal detection). The research demonstrates a consistent focus on robustness in GPS-denied environments and real-world deployment.
She has secured external funding, including a 3-year NIST grant for indoor positioning systems for emergency responders. She actively supervises a large cohort of PhD students and research associates, many of whom have gone on to notable careers. Her leadership roles in major conferences such as IPSN and Sensys further underscore her impact in the field.
Labs and Teams:
- Cyber Physical Systems Group
- EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS)
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