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Programme

09:00 Registration
09:30-09:35 Clemens Kaminski - Welcome and introduction
09:35-10:10  Hermann Hauser, Amadeus Capital Partners
Intelligent machines

10:10-10:40 

Alan Blackwell, Computer Laboratory, University of Cambridge
Design of tangible and embodied interaction

10:40-11:10 Break/Poster Session
11:10-11:40 

Iain Williams, Department for Environment, Food and Rural Affairs
Sensors and the future of environmental monitoring

11:40-12:10

Jennifer Schooling, Centre for Smart Infrastructure and Construction, University of Cambridge
Transforming the future of infrastructure - the role of sensing and data

12:10-12:40 CDT Students Team Challenge
12:40-13:10 Industry Pitching Session
13:10-14:05

Buffet lunch/Poster Session

14:10-14:40 

David Coomes, Department of Plant Sciences, University of Cambridge
Monitoring forests and crops from airborne and spaceborne sensors

14:40-15:10 

Madeline Lancaster, MRC Laboratory of Molecular Biology
Neuronal connectivity and functional output in brain organoids

15:10-15:30 Break/Poster Session
15:30-16:00 

Luca Aiello, Nokia Bell Labs
Sensing cities with digital data

16:00-16:30

Cecilia Mascolo, Computer Laboratory, University of Cambridge
Mobile sensing for mobile health and well being: Challenges and applications 

16:30-16:35 Clemens Kaminski - Closing remarks 
16:40-17:30 Poster Session
18:30-21:00 

Reception and Dinner (by invitation)
Murray Edwards College

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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Upcoming events

Industry Lecture: Everything you need to know about Open Research but are afraid to ask!

Jan 29, 2019

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

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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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