Harry De Winton Email & Phone Number

London, England, United Kingdom

At MakeSense we are designing a product to guide people with vision impairment. I started writing grants with Rob during my PhD and now work full-time to bring this product to life! I wear several hats at the moment, I even have one that says HR somewhere.

London, United Kingdom

Additive manufacturing (AM) technologies have a promising list of potential benefits for low to medium volume manufacture for metal parts. Understanding the structural integrity of AM components is key to increasing use in high performance and safety critical applications. My PhD focused on:- developing a new camera based in-situ process monitoring system- correlating results with micro CT scans to validate the systems efficacyWe used a 20kHz camera to record images of every micro weld that makes up a part.This generated ~1TB of data per centimetre cubed of material.We then trained a model to correlate between the camera images and micro CT scans of the part.Finally we used the trained model on fresh data to measure porosity in unseen parts.de Winton, H.C., Cegla, F. and Hooper, P.A., 2021. A method for objectively evaluating the defect detection performance of in-situ monitoring systems. Additive Manufacturing, 48, p.102431.Williams, R.J., de Winton, H., Fernandez, V. and Hooper, P.A., 2022. Localised porosity detection in laser powder bed fusion using in-situ monitoring. Available at SSRN 4255024.

London, United Kingdom

• Independently researched technologies that where potentially disruptive to the FinTech sector, (Chat-bots, Computervision.)• Analysed large volumes of memos from the call centre using NLP(Natural Language Processing) to identify problems in customer service.• Built and implemented efficient data retrieval scripts in python for collection of novel data from source APIs.• Led seminars to teach members of the Data Decisioning team to use data retrieval scripts.

London, United Kingdom

Mechatronics in Medicine Lab• Built a bespoke GUI(GraphicalUserInterface) for a fiducial tracking camera capable of recording real-time measurements.• The GUI increased efficiency by allowing a single researcher to use the camera and carry out experiments simultaneously.• Self taught C++ and use of Qt libraries to complete project.Part of the UROP (Undergraduate Research Opportunities Programme) Placement

London, United Kingdom

•Used the new CMS (Content Management System) and liaised with translators to construct foreign language front ends of the new websites for the 30+ countries served by Photobox.• Taught teams from the London and Paris offices to use the new CMS Magnolia to author content.

Doctor Of Philosophy - Phd, Mechanical Engineering

Defect detection in laser powder bed fusion using coaxial melt pool monitoring This thesis aims to develop an in-situ monitoring system.

Master Of Engineering - Meng, Mechanical Engineering, 2.1

Education record

Education record