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BiographyYan Pailhas received his M.Sc. degree in signal and image processing from the Ecole Nationale Supérieure de Cachan, Cachan, France, in 2003. He also received two Engineering degrees in telecommunications with a specialization in image and signal processing from the Ecole Nationale Supérieure des Telecommunications, Paris, France, and from the Politecnico di Torino, Torino, Italy. He has been a Research Associate in the Ocean Systems Laboratory, Heriot-Watt University, Edinburgh, U.K., since 2004, where he is currently carrying out research activities in bioacoustic signals and sensors, signal processing for detection and classification, and numerical simulations.
Research2004-present: Research Associate, Ocean Systems Laboratory, Heriot-Watt University
MIMO Radar and Sonar: This project aims at studying the possible contribution of MIMO techniques in Radar and Sonar systems for target detection and classification. This is a collaborative project with Edinburgh University and sponsored by EPSRC.
A-Scan and Sidescan simulator: contracted by BAe Systems. Design and develop a fast A-scan sonar simulator.Design and develop a realistic and fast side scan simulator for target recognition task.
Cable Tracking: contracted by Sound & Sea Systems and SeeByte under ONR funded programme. Design and implementation of an AUV cable tracking system for marine communications cables using sidescan and wideband sonar.
Biocentric Signals and Sensors: in collaboration with SPAWARSYSCEN, San Diego (SSC-SD). Detailed analysis of dolphin sonar signals for design of new bio-inspired signals and sensors for object detection and identification. Funded by Office of Naval Research.
Difficult Maritime Targets: in collaboration with Thales Underwater Systems. Investigating wideband responses for identification/classification for divers and partially buried mines and mine-like objects. Develop model for target echoes simulation and undestanding. DSTL funded.
Signals Design: Wideband long signal anti-submarine design. UK MoD Funded.
BAUUV: obstacle avoidance sensors and sensing: with SEA. Experiment and simulation to investigate navigation risks as input to sensor specifications for future autonomous underwater systems for UK MoD.
MCM Adaptive Signalling: pilot study for wideband sonar methods for target classification. UK MoD Funded.
Other ProfessionalI am organising the Multiple-Input Multiple-Output (MIMO) Techniques and Sonar Applications session in the Underwater Acoustic Measurements, Napflion, Greece, 2009.
I gave courses in Image and Signal processing at MSc students at Heriot Watt University and I am also the module coordinator for the Real Life System Level Integration conference module.
PublicationsPlease refer to the publications page to see a list of my publications.
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