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 he serves on several committees/panels, etc, regularly contributing to conference organization, technical activities and governance. He currently serves on the IEEE Circuits & Systems Society (CASS) Board of Governors for the term 2017-19, is associate editor of IEEE Trans. Biomedical Circuits & Systems (TBioCAS), chairs the IEEE CASS Sensory Systems Technical Committee, and serves on the IEEE BRAIN Initiative Steering Committee and IEEE CASS BioCAS Technical Committee.

Selected Publications

Journal Articles

Leene L, Constandinou TG, 2018, A 0.006mm² 1.2μW Analogue-to-Time Converter for Asynchronous Bio-Sensors, IEEE Journal of Solid-State Circuits, Vol:53, ISSN:0018-9200, Pages:2604-2613

Szostak KM, Grand L, Constandinou TG, 2017, Neural Interfaces for Intracortical Recording: Requirements, Fabrication Methods, and Characteristics, Frontiers in Neuroscience, Vol:11, ISSN:1662-453X

Liu Y, Luan S, Williams I, et al., 2017, A 64-Channel Versatile Neural Recording SoC with Activity Dependant Data Throughput, IEEE Transactions on Biomedical Circuits and Systems, Vol:11, ISSN:1932-4545, Pages:1344-1355

Luan S, Williams I, Maslik M, et al., 2018, Compact standalone platform for neural recording with real-time spike sorting and data logging., J Neural Eng, Vol:15

Maslik M, Liu Y, Lande TS, et al., 2018, Continuous-Time Acquisition of Biosignals Using a Charge-Based ADC Topology, IEEE Transactions on Biomedical Circuits and Systems, Vol:12, ISSN:1932-4545, Pages:471-482

Ramezani R, Liu Y, Dehkhoda F, et al., 2018, On-Probe Neural Interface ASIC for Combined Electrical Recording and Optogenetic Stimulation, IEEE Transactions on Biomedical Circuits and Systems, Vol:12, ISSN:1932-4545, Pages:576-588

Leene L, Constandinou TG, 2017, Time Domain Processing Techniques Using Ring Oscillator-Based Filter Structures, IEEE Transactions on Circuits and Systems. Part 1: Regular Papers, Vol:64, ISSN:1549-8328, Pages:3003-3012

Leene L, Constandinou TG, 2017, A 0.016² 12b ΔΣSAR With 14fJ/conv. for ultra low power biosensor arrays, IEEE Transactions on Circuits and Systems. Part 1: Regular Papers, Vol:64, ISSN:1549-8328, Pages:2655-2665

Paraskevopoulou SE, Barsakcioglu DY, Saberi MR, et al., 2013, Feature extraction using first and second derivative extrema (FSDE) for real-time and hardware-efficient spike sorting, Journal of Neuroscience Methods, Vol:215, ISSN:0165-0270, Pages:29-37

More Publications