Imperial College London

Dr Timothy Constandinou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Neural Microsystems
 
 
 
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Contact

 

+44 (0)20 7594 0790t.constandinou Website

 
 
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Assistant

 

Miss Izabela Wojcicka-Grzesiak +44 (0)20 7594 0701

 
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Location

 

B407Bessemer BuildingSouth Kensington Campus

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Summary

 

Summary

Dr Timothy Constandinou is a Reader in Neural Microsystems at Imperial College London and also Deputy Director of the Centre for Bio-inspired Technology. Dr Constandinou received BEng and PhD degrees in Electronic Engineering from Imperial College London in 2001 and 2005, respectively. 

He leads the Next Generation Neural Interfaces research group at Imperial. The group utilizes integrated circuit and microsystem technologies to create advanced neural interfaces that enable new scientific and prosthetic applications. The ultimate goal is to develop devices that interface with neural pathways for restoring lost function in sensory, cognitive and motor impaired patients.

Within the IEEE and IET he serves on several committees/panels, etc, regularly contributing to conference organization, technical activities and governance. He is currently associate editor of IEEE Trans. Biomedical Circuits & Systems (TBioCAS), is chair-elect of the IEEE Sensory Systems Technical Committee, a member of the IEEE BRAIN Initiative Steering Committee, member of IEEE BioCAS Technical Committee, and recently been elected to the IEEE Circuits & Systems Society Board of Governors for the term 2017-19. He is currently chair of the IET Awards & Prizes committee and also serves on the IET Knowledge Services Board

Selected Publications

Journal Articles

Paraskevopoulou SE, Wu D, Eftekhar A, et al., 2014, Hierarchical Adaptive Means (HAM) Clustering for Hardware-Efficient, Unsupervised and Real-time Spike Sorting., Journal of Neuroscience Methods, Vol:235, ISSN:1872-678X, Pages:145-156

Barsakcioglu D, Liu Y, Bhunjun P, et al., 2014, An Analogue Front-End Model for Developing Neural Spike Sorting Systems, Ieee Transactions on Biomedical Circuits and Systems, Vol:8, Pages:216-227

Williams I, Constandinou TG, 2013, An Energy-Efficient, Dynamic Voltage Scaling Neural Stimulator for a Proprioceptive Prosthesis, IEEE Transactions on Biomedical Circuits and Systems, Vol:7, ISSN:1932-4545, Pages:129-139

Conference

Williams I, Luan S, Jackson A, et al., 2015, A scalable 32 channel neural recording and real-time FPGA based spike sorting system, IEEE Biomedical Circuits and Systems (BioCAS) Conference, IEEE, Pages:187-191

More Publications