Sensors in an Uncertain World | 12th October
A showcase of multidisciplinary sensor research
Moller Institute, Churchill College, Cambridge
12th October, 2022
Inspiring talks by leading experts on the latest sensor technology developments
Sensors Day 2022 will showcase highlights of sensor research and applications from all areas of science and technology. This year, we have a diverse field of speakers covering sustainability, healthcare, ethics and citizen science. The title of the conference will be "Sensors in an Uncertain World" in recognition that sensors can bring certainty to our world.
Registration for Sensors Day 2022 is now closed.
Conference program
2021 cohort Team Challenge presentation
Our 12 MRes students will present their 12- week project "Cyanovision"- a low-cost, open-source early-warning system for cyanobacteria in freshwater. The students have created a novel microscopy system based on the OpenFlexure Microscope for the detection of cyanobacteria and algae in fresh water. Their machine learning algorithm, based on objected detection, has been trained to identify cyanobacteria species of different morphologies (e.g. unicellular, filamentous and rod-shaped) as well as the common algae in bright-field images. They have created a user-friendly UI that enables the use of our software without requiring any coding knowledge
More information can be found here:
Cyanovision - toxic cyanobacteria monitoring (cyantist.xyz)
Our student speakers:
Title | Speaker |
Online: Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning | Erika Bondareva |
Structural Mass Spectrometry Techniques for Investigating Therapeutic Peptides | Katie Gibson |
Sensor Measurement Uncertainty and Ways to Reduce it | James Meech |
Optofluidic Hollow-Core Photonic Crystal Fibres as Label-Free Biophysical Sensors | Jan Heck |
Intracellular Aβ42 aggregation leads to cellular thermogenesis | Chyi Chung |
Interactions between alpha-synuclein and lipid membranes in Parkinson’s disease | Greta Musteikyte |
Studying Organic Electrochemical Transistors for Applications in Neuroscience Diagnostics | Stefany Kissovsky |
With Thanks to our Sponsors
Zimmer & Peacock
Exhibition tables: