Timothy Constandinou

Timothy Constandinou is Professor of Bioelectronics at Imperial College London, Director of the Next Generation Neural Interfaces (NGNI) Lab and Head of the Circuits & Systems (CAS) Research Group. He is also a Group Leader within the UK Dementia Research Institute, Care Research & Technology Centre.

His research interests are in microelectronics, biomedical microsystems, implantable medical devices, neural interfaces, brain-machine interfaces, research platforms, and remote sensing using ultra-wideband radar.

His lab focuses on creating innovative neurotechnologies to enable communication between the nervous system and electronic devices to study, manage, or treat neurological conditions.

He is CTO and Co-Founder of Mint Neurotechnologies Ltd, an Imperial College spinout formed to translate his research in implantable neural interfaces.

Profiles on: Google Scholar, LinkedIn, Twitter, and Orcid.

Selected Publications

Journal Articles

• Ahmadi N, Constandinou TG, Bouganis C-S, 2021, Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning, Journal of Neural Engineering, Vol:18, ISSN:1741-2552, Pages:1-23
• Liu Y, Urso A, Martins da Ponte R, et al., 2020, Bidirectional bioelectronic interfaces: system design and circuit implications, Ieee Solid-state Circuits Magazine, Vol:12, ISSN:1943-0582, Pages:30-46
• Lauteslager T, Tommer M, Lande TS, et al., 2019, Coherent UWB radar-on-chip for in-body measurement of cardiovascular dynamics, IEEE Transactions on Biomedical Circuits and Systems, Vol:13, ISSN:1932-4545, Pages:814-824
• 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:1-13
• 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
• 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
• Toth R, Zamora M, Ottaway J, et al., 2020, DyNeuMo Mk-2: an investigational circadian-locked neuromodulator with responsive stimulation for applied chronobiology, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Pages:3433-3440, ISSN:0884-3627
• Ahmadi N, Cavuto ML, Feng P, et al., 2019, Towards a distributed, chronically-implantable neural interface, 9th IEEE/EMBS International Conference on Neural Engineering (NER), IEEE, Pages:719-724, ISSN:1948-3546