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Spring into STEM: Machine learning as a potential tool for disease diagnosis

31 May 2022, 11:30 am–12:00 pm

Spring into STEM poster

UCL Mechanical Engineering is pleased to present 'Machine learning as a potential tool for disease diagnosis', one of four lectures brought to you by the department as part of the 2022 Spring into STEM webinars.

This event is free.

Event Information

Open to

All

Availability

Yes

Cost

Free

Organiser

UCL Mechanical Engineering

In this lightning talk on 31 May, 11:30–12pm, Dr Lama Hamadeh will discuss how machine learning algorithms can be a reliable, cheap and quick tool for disease diagnosis. Join us to find out how they can replace expensive and large equipment just by analysing images of dried blood droplets...

See the full range of lectures from the Spring into STEM series

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About the Speaker

Dr Lama Hamadeh

Lecturer (Teaching) in Engineering Maths/Computing at the Department of Mechanical Engineering

Lama Hamadeh
After completing her PhD in theoretical and mathematical physics at the University of Nottingham in 2015, Dr Hamadeh joined the Product Design Department at the School of Architecture, Design and the Built Environment at Nottingham Trent University as a research assistant. There, she worked on an EPSRC-funded project on analysing mathematically the thermal behaviour of electronic devices embedded in smart textiles samples. In 2017, Dr Hamadeh joined the Department of Physics and Mathematics, School of Science and Technology at Nottingham Trent University as a postdoctoral research fellow, where she developed and applied sophisticated image analysis routines to objectively and statistically quantify the patterns seen in an extensive database of dried blood droplets. After the fellowship ended, she was appointed as a lecturer in physics and mathematics. She joined UCL as a lecturer in Engineering Mathematics and Computing in 2021.  

Other events in this series