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Sensor Champions 2015

last modified Nov 17, 2015 11:52 AM
Congratulations to our Sensor Champions, Josie Hughes and Philip Mair.
Sensor Champions 2015

Sensor champions: Josie Hughes and Philip Mair

Many congratulations to our 2015 Sensor Champions, Josephine Hughes and Philip Mair.  Both students produced stellar work for both the practical and research components of the programme in their MRes year and fully embraced the interdisciplinary nature of the Sensor CDT course. 

Josie and Philip demonstrated a strong aptitude to learning new skills outside of their respective areas of expertise.  Philip, coming from a background in biology, used his skills and interests to venture into Machine Learning and soldering surface mount electronic components.  Josie shared her engineering undergraduate knowledge with the group when it came to programme Arduino micro controllers and designing electronic circuits.

Having immersed themselves in the theoretical and practical sensor-related aspects of engineering, physics, biology and chemistry, they are entering the start of their PhD research with an excellent grounding in the field of Sensor Technologies and Applications.

Josie is now conducting her PhD research in the Machine Intelligence Research Group, headed by Dr. Fumiya Iida, Department of Engineering, on the subject of Adaptive tactile sensing for robotics based on thermoplastics.

Philip is undertaking his PhD research in the Hollfelder Group, Department of Biochemistry.   His research is focused on the Ultrahigh throughput screening of metagenomic libraries

Do you want to learn more about state of the art research in the field of Sensor technologies? Then, find out more from our students and join the Sensor CDT.

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Jan 29, 2019

Johnson Matthey Lecture Theatre (LT2), Department of Chemical Engineering and Biotechnology, Philippa Fawcett Drive, Cambridge CB3 0AS

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RSS Feed News

Robotic hand 'plays' piano

Dec 21, 2018

Josie Hughes from the 2014 cohort has developed a robotic hand which mimics the movements of a human hand to play piano. Using soft and rigid parts the robotic hand helps to understand the complex movements of the human hand.

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