Research project

H Czerski - Turbulent Exchange: Aerosols, Bubbles and Gases

Research groups:
Other researchers:

Professor Paul White,

Professor Steve Gunn
Status:

Not active

Staff

Other researchers

Professor Paul White

Prof of Statistical Signal Processing

Research interests

Paul has research interests which include signal processing, underwater acoustics and bioacoustics (the way animals, especially marine mammals, use sound). He is primarily concerned with developing tools to assist in the computer-aided analysis of underwater sounds and understanding the role of those sounds in the marine environment.
Acoustics, in the form of sonar, is an important tool for the exploration of the marine environment. It is used by the seismic industry to locate oil and gas reserves, by the military to detect objects, by oceanographers to make measurements and by marine mammals to survive.
Man-made underwater acoustic systems rely upon computers to process the data coming from sensors to interpret the environment. The processing methods within the computer systems are a critical component often defining the overall success of the instrument.

Connect with Paul

Email: P.R.White@soton.ac.uk

Professor Steve Gunn

Professor

Connect with Steve

Email: srg@ecs.soton.ac.uk

Collaborating research institutes, centres and groups

Research outputs

Towards omni-directional and automated imaging system for measuring oceanic whitecap coverage

Raied S. Al-Lashi, Merlin Webster, Steve R. Gunn & Helen Czerski, 2018, Journal of the Optical Society of America A: Optics and Image Science, and Vision, 35(4), 515-521

DOI: 10.1364/JOSAA.35.000515

Type: article

A novel high resolution optical instrument for imaging oceanic bubbles

Raied Sarmad Al-Lashi, Stephen R. Gunn, Eric G. Webb & Helen Czerski, 2018, IEEE Journal of Oceanic Engineering, 43(1), 72-82

DOI: 10.1109/JOE.2017.2660099

Type: article

Automated processing of oceanic bubble images for measuring bubble size distribution underneath breaking waves

Raied Al-Lashi, Stephen Gunn & Helen Czerski, 2017, Journal of Atmospheric and Oceanic Technology, 33(8), 1701-1714

DOI: 10.1175/JTECH-D-15-0222.1

Type: article