Murat Üney

Announcements

Mr. Kimin Kim's work on detection of small and manoeuvring objects with collaborating radars using simultaneous long time integration and tracking will be presented at IEEE Radar Conference 2017 , in Seattle, WA USA. I first-supervise this PhD project which has recently submitted a journal article that provides a complete account of this work together with our SSPD 2016 article .

I visited the brilliant Sensor Informatics and Biomedical Technology Lab. directed by Prof. Simo Sarkka, at Aalto University, in the greater Helsinki region in Finland. Interesting research on probabilistic models and statistical processing methodology for spatio-temporal data and applications, and, great hospitality. Highly recommended for those interested in the field.

I will be giving a tutorial covering optimal and adaptive filtering of stochastic processes and detection on 26/06/2017 Monday at the UDRC Summer School 2017, at the University of Surrey, Guildford. The presentation slides used last year can be downloaded from here.

Our cooperative calibration algorithm for distributed fusion networks is now published in IEEE TSP and open access via the ieeexplore link here.

The MATLAB class @functs can be found at sourceforge and also reached via Matlab Central Link Exchange. I find it easy to build customized message-passing algorithms using this class.

Info

Murat Üney is a Research Fellow at the University of Edinburgh, School of Engineering, Edinburgh, Scotland, UK. He is working on distributed multi-sensor processing with applications in object detection and tracking with networked sensors in challenging scenarios involving, e.g., multiple manoeuvring objects with low signal-to-clutter ratios. His research interests are in the domain of signal and information processing and data/information fusion using statistical paradigms; distributed, resource constrained, multi-sensor, multi-modal problem settings; scalable/approximate statistical inference and learning; probabilistic graphical models, point process models and Monte Carlo computational methods. His current work is supported through the UDRC research programme.