Alex Casson

Biography

Dr Alex Casson is a senior lecturer in the Sensing, Imaging and Signal Processing group in the school of Electrical and Electronic Engineering at the University of Manchester. Dr Casson''s research focuses on real-time signal processing in low power constrained situations. Typical applications are in brainwave monitoring, brain-computer interfaces, and transcranial stimulation. He also has extensive expertise in low power sensor nodes with onboard signal processing, particularly wearable sensors for human monitoring where signal processing is used to decrease power consumption for energy harvester powered systems. 

Previously Dr Casson worked on similar topics at Imperial College London as part of the Optical and Semiconductor Devices and Circuits and Systems groups.  While at Imperial Dr Casson was the recipient of a prestigious Imperial College Junior Research Fellowship. He has contributed to research projects including "Wireless mouse EEG" funded by the NC3R, "Chips on the go: Towards truly wearable EEG systems" funded by the ERC, and "Moving the mountain: Non-conventional human body monitoring to enable energy harvester powered systems" funded by the EPSRC. 

Dr Casson gained his undergraduate degree from Lincoln college, University of Oxford in 2006 where he read Engineering Science specialising in Electronic Engineering (MEng). Over the summer vacations he did three summer placements at ARM in the System on Chip (fabric) department working in both the Maidenhead and Cambridge offices. Dr Casson completed his PhD from Imperial College London in 2010 with the thesis title "A data reduction algorithm incorporating a low power continuous wavelet transform for use in wearable electroencephalography systems." He worked as a research associate and research fellow at Imperial College until 2013 when he joined the faculty at the University of Manchester.

Areas of expertise

• TK Electrical engineering. Electronics Nuclear engineering

Research Networks and Beacons

• Manchester Informatics
• Data Science Institute
• Dementia@Manchester

Biology, Medicine and Health (BMH) Domains

• Platform Sciences and Technologies
• Neuroscience & Mental Health
• Population Health & Ecosystems