Computing & Software

Modelling of real world systems is a field where patentability can be problematic, but the scope for patentability can be greatly improved if the technical aspects of the invention are emphasised, particularly those that relate to providing new information about a technical system or when a model is used to control or provide useful feedback about a technical system. As conventional computers become more powerful, and with the advent of quantum computing, computer models are becoming increasingly more accurate and capable of analysing and making predictions of real world systems.

Oliver Pooley has experience in various aspects of modelling such as modelling indoor spaces for positioning, and computer hardware for modelling systems.

David Pearce has worked with a UK client whose main business is in the area of computer modelling of data centres to optimise energy usage for cooling, and has succeeded in obtaining patent protection for specific areas of their technology.

David Combes has a background in simulation and modelling (coupled multiphysics FEM/BEM and reduced order modelling for MEMS design) and has drafted applications relating to simulation and modelling, for example relating to magnetic fields for optimisation of magneto-optical traps and for magnetic field cancellation.

Francesco Di Lallo has experience in drafting and prosecuting patent applications relating to modelling of chemical reactions and simulation of water supply network usage, and has particular knowledge of the application of AI to predicting future outcomes and in modelling or simulations.

Amy Bishton has experience in working with inventions relating to modelling perforators for oil and gas exploration and with modelling implants and bone architectures for healthcare applications.

John Lawrence has worked with inventions relating to systems for modelling data transmissions, microwave predictions, healthcare systems for predicting susceptibility to disorders and providing a prognosis based on different treatment regimes and systems for predicting driving behaviour and providing feedback in real time, predicting insurance risks and setting premiums.

Carrie Duckworth has worked with inventions relating to programming models, machine learning models, modelling distributions, stratifying event models, severance event modelling, simulating sensing systems, modelling and prediction in sports events, and related areas such as calibration methods and systems.

Matthew Philpotts’ background is in analysis, modelling and simulation, having previously worked as a radar and communications scientist. He utilises this knowledge in drafting and prosecuting patents in a range of electromagnetic technologies, including magnetometry devices, light-matter interactions and high-precision interferometry.

Scott King has worked on drafts relating to modelling of financial systems to predict fraud. He has also worked on cases relating to predicting server failures using modelling and machine learning techniques.

Martin George’s masters research centred around the design and testing of a device for measuring length changes in quantum materials. This involved the use of extensive calibration and modelling techniques. Since then, Martin has worked with inventions relating to various control systems and measurement devices, including tactile sensors, flow control systems, magnetometers and optical sensors.