Imperial College London

Dr Timothy Constandinou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Neural Microsystems



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




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




B407Bessemer BuildingSouth Kensington Campus





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 (NGNI) Lab at Imperial. His group creates innovative neurotechnologies to enable communication between the nervous system and electronic devices -- for research tools and medical devices. 

He additionally is a Group Leader (for "Biosensors and Medical Device Technologies") within the UK Dementia Research Institute (Care Research & Technology).

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, IEEE BRAIN Initiative Steering Committee, IEEE CASS Sensory Systems and IEEE CASS Biomedical Circuits & Systems Technical Committees and has recently been appointed Deputy Editor-in-Chief of IEEE Trans. Biomedical Circuits & Systems (TBioCAS) for the 2020-21 term. He co-chairs the steering group of the Royal Society iHuman perspective on Neural Interfaces and the Ecosystem.

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

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

Luan S, Williams I, Maslik M, et al., 2018, Compact Standalone Platform for Neural Recording with Real-Time Spike Sorting and Data Logging, Journal of Neural Engineering, Vol:15, ISSN:1741-2552, Pages:1-21

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

Szostak K, Grand L, Constandinou TG, 2017, Neural interfaces for intracortical recording: requirements, fabrication methods, and characteristics, Frontiers in Neuroscience, Vol:11, ISSN:1662-4548

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 D, Saberi M, 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

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