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Dr Gabriel D Weymouth Sc.D.

Associate Professor of Marine Hydrodynamics

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Dr Gabriel David Weymouth is an Associate Professor within Engineering and Physical Sciences at the University of Southampton.

Gabriel D Weymouth is passionate about teaching and research related to fluid dynamics, physics-based machine learning, and biologically inspired engineering. His research group has published in top journals from Science Robotics to Annual Review of Fluid Mechanics on topics ranging from Deep Learning turbulent fluid flow, to plesiosaur swimming, to a Guinness-Book record holding octopus-inspired soft underwater robot. He actively promotes open source software development for engineering and develops and contributes to many projects such as LilyPad and Jupyter notebooks for teaching programming and hydrodynamics.

Dr Weymouth received a BSc. in Naval Architecture from Webb Institute 2001, an MSc. in Mechanical Engineering from University of Iowa 2002, and a Doctor of Science in Ocean Engineering from the Massachusetts Institute of Technology in 2008. After a postdoc at MIT, he held a research scientist position from 2010-2013 in the Singapore MIT Alliance for Research and Technology. He took his current position at the University of Southampton in 2013, and in 2019 he co-founded the Marine and Maritime Group in the Alan Turing Institute, London.

Previous Work:

  • Research Scientist at the Centre for Environmental Sensing and Modelling in the Singapore MIT Alliance for Research and Technology, 2010-2012
  • Postdoctoral Researcher at the Massachusetts Institute of Technology, 2008-2010


  • Doctorate of Science in Ocean Engineering from the Massachusetts Institute of Technology, 2008
  • Masters of Science in Mechanical Engineering from the Iowa Institute of Hydraulic Research, 2003
  • Bachelors of Science in Naval Architecture and Ocean Engineering from the Webb Institute, 2001

Research interests

Biologically inspired engineering – Efficient propulsion, manoeuvring, and sensing inspired by aquatic and aerial animals to enhance ocean engineering design performance.

Physics-based learning models – Utilizing physics-based models to enable machine learning in the limit of sparse data: applied to ship performance regression analysis, weather forecasting, 3D flow field reconstruction, and turbulence modelling.

Computational physics – Contributions to the state-of-the-art in robust computational methods: Boundary Data Immersion Method, conservative Volume of Fluid, and open-source research tools.

Fluid-structure interactions and free-interface dynamics – Investigation of structural motion of ships and offshore platforms due to vortex shedding, wake induced forces and motions, and high energy breaking waves and air entrainment.

Further information

Octopus inspired rocket
Octopus inspired rocket
Ocean energy extraction
Ocean energy extraction
Marine Robotics
Marine Robotics
Whisker-like flow sensors
Whisker-like flow sensors
General purpose simulation
General purpose simulation

Research group

Maritime Engineering

Affiliate research groups

Southampton Marine and Maritime Institute, Marine and Maritime Group - Alan Turing Institute

Research project(s)

Wake Detection Ability and Self-Induced Motion Suppression of Whisker-like Geometries

Harbour seal whiskers have a unique geometry, optimizing their ability to sense upstream disturbances while minimizing their own self induced motions.

Air entrainment in the wake of a transom stern

The complex, three-dimensional flow field in the wake of a surface ship contains a highly mixed air-water turbulent region that results in a detectable wake signature.

Ocean Survey and Autonomous Sampling Using Multi-Agent Systems

Autonomous marine robots are used to survey and take water samples from unsteady coastal environments.

Minimally Actuated Flapping Foil Energy Extractors

Animals use flapping foils for efficient locomotion. This project uses the same idea to extract energy from ocean currents and tidal flows.

Fast escape underwater vehicle inspired by the octopus jetting

Burst speed underwater vehicle inspired by the shape changing of cephalopods, which are the fastest marine invertebrates.

Accurate Cartesian-grid modeling of unsteady and separating flows

A novel Cartesian-grid approach is developed to accurate model forces and separation on complex moving geometries such as swimming animals.

Aquatic Soft Robots for Environmental Sensing

The aim of this project is to develop a soft-bodied vehicle with augmented mission capabilities and survivability in order to perform inspection tasks in all those scenarios precluded to standard underwater robots and divers. To do so we intend to exploit the fluid mechanics properties of volume-changing bodies and the benefits of soft-robotics design. This project is entirely supported by the Natural Environment Research Council (NERC) within the “Technology Proof of Concept” programme, NERC grant NE/P003966/1.

Maritime Engineering Science MSc Programme Lead

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Book Chapters



Module title Module code Discipline
Fundamentals of Ship Science SESS6065 Engineering Sciences
Offshore Engineering and Analysis SESS6070 Engineering Sciences
Marine Hydrodynamics SESS3023 Engineering Sciences
Hydrodynamics SESS2022 Engineering Sciences
Dr Gabriel D Weymouth
Engineering, University of Southampton, Southampton Boldrewood Innovation Campus, Burgess Road, Southampton, SO16 7QF

Room Number : 176/3029

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