I am a Senior Research Associate in the Digital Technology Group of the Computer Laboratory working on infrastructure-free indoor positioning using smartphone-grade sensing. I'm also a Chartered Physicist, an Associate Editor of the Journal of the Royal Institute of Navigation (RIN), a member of the RIN conference organising committee, and a Teaching Associate at Queens' College, Cambridge.
Previously I was a Principal Scientist at BAE Systems where I developed technologies such as the NAVSOP suite of positioning systems. I was also the real life Q, according to Top Gear magazine at least....
I hold three degrees in Physics from the University of Cambridge, including a PhD in the Effects of Multipath Interference on Radio Positioning Systems.
My current research is concentrating on Infrastructure-free Indoor Positioning,
Simultaneous Localisation and Mapping (SLAM), and Improvements to Smartphone Sensing.
My further interests include: Navigation using Signals of Opportunity, GPS-denied Navigation, Computer Vision, Sensor Fusion,Wireless Security, Software-Defined Radio, and Autonomy.
- Infrastructure-free indoor positioning on a standard smartphone using SLAM and opportunistic sensing
- Reducing the computational load of smartphone SLAM schemes
- Gait recognition
- Fusing Pedestrian Dead Reckoning and strapdown processing for low-cost, high-accuracy indoor navigation and sensing
- The impact of Bluetooth Low Energy on indoor positioning
- An all-smartphone UAV
I supervise seven courses for Computer Science students at Queen's College. I also help to lecture the Part II Topical Issues course.
I have provided private consultancy on topics such as positioning systems, sensor fusion, signal processing, remote tracking and machine learning for a variety of entities, ranging from Government bodies, large companies, SMEs and other academic institutions. If you wish to engage my services please make contact using the email address below.
Senior Research Associate
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD
Phone: +44 1223 763767
Email: rmf25 [at] cl.cam.ac.uk