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Inigo graduated from the University of Warwick with a First-Class Masters Degree in Mathematics having studied topics including Machine Learning, Advanced Real Analysis and Group Theory. His dissertation project explored the mathematics behind Linear Inverse Theory with applications in medical tomography. This included programming in MATLAB to demonstrate the inner workings of a CT-scan using Randomised Algebraic Reconstruction Techniques.

Inigo joined Hawkins in 2020 as a Researcher in our Reigate office before progressing to Associate, expanding and strengthening Hawkins’ offerings in Digital Forensic Services. In 2022, he developed and implemented a new 3D Photogrammetric Modelling and Forensic Photogrammetry Service whereby he performs 3D modelling of retained forensic exhibits such as pipes, buildings, fire damaged electrical appliances, vehicles.

Inigo applies key mathematical principles in remote-sensing and computer vision to deduce camera positions and lengths of objects. This area of work often coincides with his expertise in producing virtual visualisations & reconstructions, combining digital 3D models of exhibits and scenes to assist interpretations of imagery and videos of interest to insurance and legal professions.

Inigo is also an A2 Certificate of Competence (A2CofC) certified drone pilot, regularly assisting clients with aerial surveys on cases relating to fires, structural failures, and personal injuries.

LANGUAGES

Inigo is fluent in English and Japanese.

Qualifications

MMath Mathematics – University of Warwick

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ARTICLES BY THIS EXPERT

Advancements in digital media offer vast data for analysis but pose challenges. Computers excel in processing large data volumes, surpassing human limitations. Integration of Artificial Intelligence (AI) and Computer Vision (CV) techniques like Optical Flow Tracking, Pose Estimation, and Optical Character Recognition (OCR) bridges this gap. Hawkins leverages CV for objective analysis, enhancing investigations in personal injuries, collisions, and structural failures.

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